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Journal receives papers in continuous flow and we will consider articles from a wide range of Information Technology disciplines encompassing the most basic research to the most innovative technologies. Please submit your papers electronically to our submission system at http://jatit.org/submit_paper.php in an MSWord, Pdf or compatible format so that they may be evaluated for publication in the upcoming issue. This journal uses a blinded review process; please remember to include all your personal identifiable information in the manuscript before submitting it for review, we will edit the necessary information at our side. Submissions to JATIT should be full research / review papers (properly indicated below main title).

Journal of Theoretical and Applied Information Technology
October 2014 | Vol. 68 No.2

Title:	ECC BASED MALICIOUS NODE DETECTION SYSTEM FOR MOBILE ADHOC NETWORK
Author:	V. ANJANA DEVI, R.S. BHUVANESWARAN
Abstract:	An ad hoc network is a collection of wireless computers (nodes), communicating among themselves over possibly multihop paths, without the help of any infrastructure such as base stations or access points. Due to MANET characteristics, nodes in MANET are easily compromised by the adversaries. In this paper an innovative scheme is proposed to monitor and detect the malicious nodes without compromising the network performances. The major contribution is to alleviate the Watchdog (IDS for MANET) issues such as limited transmission power, packet dropping, receiver collision and false misbehavior reports generation. The proposed approach is an acknowledgement based, in which each acknowledgement packet is digitally signed with an Elliptic Curve Cryptography (ECC) algorithm for authenticating the acknowledgement packets. Simulation results demonstrate that the proposed scheme offer more security and improve the network performances than earlier IDS approaches. The proposed system improves the packet delivery ratio and also minimizes the routing overhead even in the presence of 40% malicious nodes in the network.
Keywords:	Intrusion detection System, Mobile adhoc Network, Elliptic Curve Cryptography, Attacks, Acknowledgement.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	REDUCING FALSE ALARM USING HYBRID INTRUSION DETECTION BASED ON X-MEANS CLUSTERING AND RANDOM FOREST CLASSIFICATION
Author:	SUNDUS JUMA, ZAITON MUDA, WARUSIA YASSIN
Abstract:	In recent times, Intrusion Detection systems (IDSs) incarnate the high network security. Anomaly-based intrusion detection techniques, that utilize algorithms of machine learning, have the capability to recognize unpredicted malicious. Unluckily, an essential provocation of this method is to maximize accuracy, detection whereas minimize false alarm rate. This paper proposed a hybrid machine learning approach based on X-Means clustering and Random Forest classification called XM-RF in order to aforementioned drawbacks. X-Means clustering is utilized to gather whole data into congruent cluster based on their behaviour whereas Random Forest classifier is utilized to rearrange the misclassified clustered data to apropos group. The ISCX 2012 Intrusion Detection Evaluation is used as a model dataset. The experimental result pose that the proposed approach obtains better than other techniques, with the accuracy, detection and false alarm rates of 99.96%, 99.99%, and 0.2%, respectively.
Keywords:	Intrusion Detection System, Anomaly-based Intrusion Detection, Machine Learning, X-Means, Random Forest.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	LOAD BALANCING TECHNIQUE TO IMPROVE QoS FOR LIGHTPATH ESTABLISHMENT IN OPTICAL WDM NETWORKS
Author:	M.R.SENKUMAR, Dr.K.CHITRA
Abstract:	This paper discusses the issue of providing basic QoS in optical burst-switched WDM networks. As in WDM networks, end-to-end connection demands are dynamic routes, it changes the state according to the current network traffic status. In order to improve the basic QoS, load balancing technique for lightpath establishment in Optical WDM Networks has been proposed. This approach contains three phases; initially the network’s traffic is predicted with Hidden Markov Model (HMM). In the second phase wavelength ordering technique is implemented where the crosstalk in the network is reduced. In the final phase an objective function based on GRASP is considered for the predicted traffic load from phase-1. Through this approach, it is shown in this paper that the Qulaity of service (QoS) in the optical WDM network can be improved in terms of delay, throughput and blocking probability.
Keywords:	QoS, Optical WDM, Hidden Markov Model, Wavelength Ordering Technique
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	MINING FREQUENT PATTERNS FROM SPATIO-TEMPORAL DATA SETS: A SURVEY
Author:	GURRAM SUNITHA Dr. A. RAMA MOHAN REDDY
Abstract:	Space and time are implicit in every activity of life. Every real-world object has its past, present, future and hence is intrinsically tied up with location and time. Storing spatio-temporal attributes in the databases along with the thematic attributes enriches the data and the inherent knowledge stored in the database. Spatio-temporal databases provide description of real-world phenomenon in a spatio-temporal framework and helps to build information systems and services that are more comprehensive and intelligent. This paper highlights the importance and applications of spatio-temporal pattern mining and provides a brief survey of key mining techniques for discovering three types of spatio-temporal patterns – sequential patterns, co-occurrence patterns and cascaded patterns specifically from event data sets and trajectory data sets.
Keywords:	Spatio-Temporal Data Mining, Event, Trajectory, Sequential Patterns, Co-occurrence Patterns, Cascaded Patterns
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	A TECHNIQUE FOR CLASSIFICATION OF HIGH RESOLUTION SATELLITE IMAGES USING OBJECT-BASED SEGMENTATION
Author:	ANKAYARKANNI, EZIL SAM LENI
Abstract:	Segmentation and classification of satellite imagery are a challenging problem due to the fact that it is not feasible to execute this task on a pixel-by-pixel basis.This paper proposes an efficient image classification technique for satellite images with the aid of KFCM and artificial neural network. The proposed classification technique is made of four phases namely, pre-processing, fragmentation and final classification using neural network. In pre-processing stage, the input image is put to a series of pre-processing phases which includes mean filtering, contrast adjustment and laplacian filter. The pre-processing has the effect of modifying the input image into suitable image for fragmentation. After the preprocessing, the image is fragmented by means of the kernel based fuzzy c-means(KFCM) clustering algorithm. The resultant image obtained is segmented into clusters. NN is trained according to the data given. The resultant image is given as input to the trained NN, which classifies the satellite images into road, building and vegetation regions according to the trained data and pixel values.The experimental results have demonstrated the effectiveness of the proposed classification technique in classifying into road, building and vegetation regions. The experimentation is carried out using the satellite images and the analysis ensures that the performance of the proposed technique is improved compared with k-means clustering algorithm.
Keywords:	Segmentation,Classification, KFCM, Satellite image, Neural Network, Road, Building, Vegetation
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	HARMONIC ELIMINATION IN MULTILEVEL INVERTERS FOR SOLAR APPLICATIONS USING DUAL PHASE ANALYSIS BASED NEURAL NETWORK
Author:	V.J.VIJAYALAKSHMI, Dr.C.S.RAVICHANDRAN, Dr.A.AMUDHA, V.KARTHIKEYAN
Abstract:	The objective of the proposed work is to design a multilevel inverter for solar energy applications so as to reduce the Total Harmonic Distortion (THD) and to improve the power quality. To obtain the accurate THD values inclusion of higher order harmonics is essential. A concept of Dual Phase Analysis (DPA) is introduced in this paper. DPA proposes an accurate method to determine the harmonics content in the inverters. A novel concept of application of Heuristic Optimization techniques for estimating the optimum switching angles for the voltage and harmonic control of cascaded multilevel inverters is performed. In this work, neural network based on Gradient Descent Optimization is the preferred Heuristic algorithm. The Neural Network can be trained offline and online. DPA is used in analyzing the harmonic spectrum of the multilevel inverter output. In this paper, the performance of seven level inverters for solar energy application is designed and analyzed.
Keywords:	Dual Phase Analysis, Multilevel inverters, Harmonic spectrum, artificial neural Network, photovoltaic
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	AN INTEGRATED CLUSTERING METHOD FOR HOLISTIC SCHEMA MATCHING
Author:	ADEL A. ALOFAIRI, KAMSURIAH AHMAD
Abstract:	Schema matching is an interesting research topic which had been paid considerable attention by many researchers in the database community. It aims at identifying semantic correspondences between two schemas. Holistic schema matching was proposed to match many schemas at the same time. As an active research topic in the field of schema integration, holistic schema matching tackles the challenge of matching large scale schema. Matching the complete input schemas may not only lead into taking a long execution time, but also poor quality matching results. Therefore, achieving good performance for the schema matching in a large search space is difficult and challenging process. Recently, a number of methods were proposed to solve this schema matching using popular clustering techniques namely k-means or agglomerative hierarchical clustering techniques. These techniques are usually used to reduce the search space, albeit with some drawbacks. However, the existing methods still can to be improved. In order to improve the matching efficiency and clustering process, this paper aims at finding an effective method for holistic schema matching in terms of reducing the searching space. The combination of clustering techniques was proposed. To achieve the main objective, the methodology includes two phases: pre-processing and clustering. The findings of the study revealed that the matching method proposed in this study reduced the searching space by using an integrated clustering technique that rapidly groups the most correspondences attributes in the same clusters. The results of the study prove that this method is effective and promising in holistic schema matching.
Keywords:	Holistic Schema Matching, Clustering, Search Space Reduction.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	DESIGN OF HYBRID CONTROLLER BASED LOAD FREQUENCY CONTROLLER FOR MULTI AREA HYDRO THERMAL SYSTEM
Author:	UMA PAPA GARIMELLA , Dr.K.RAJAN
Abstract:	This article presents the design of hybrid controller (proportional double integral controller (PDIC) plus fuzzy logic controller (FLC)) in load frequency control (LFC) for multi area hydro thermal system (MAHTS). In this case, two control areas connected through the tie line and each area consists of both the hydro and thermal power system. The conventional controllers are incapable of stabilizing the frequency deviation as well as the power oscillation of it at load variations conditions. In order to stabilize the frequency deviation and improve the dynamic performance of MAHTS, a PDIC plus FLC is developed. The complete model with various controllers is implemented in MATLAB/Simulink. The performance of designed controller is validated at various operating state in comparison with a conventional controllers. The simulation results are indicated that the designed controller more superior than the conventional controllers.
Keywords:	Multi Area Hydro Thermal System, Fuzzy Logic Controller, Proportional Double Integral Controller, Load Frequency Control, MATLAB Simulink
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	GRID INTERFACE OF A PMSG BASED WIND ENERGY CONVERSION SYSTEM WITH POWER QUALITY IMPROVEMENT FEATURES
Author:	R.KARTHICK, S.MANOHARAN, S.RAJKUMAR
Abstract:	Renewable Energy Sources are nowadays rapidly growing popularity at the distribution level which employs power electronic converters, which ensures reliable operation to customers. Among the RES, wind energy is now firmly established as a mature technology for electricity generation. This paper discusses the role of ac/dc/ac power converter for grid interface of wind energy. The generator side converter incorporates the maximum power point tracking algorithm to extract maximum energy from wind turbine system. The grid side converter plays a dual role of interfacing the wind energy to grid as well as to supply reactive power as demanded by the non-linear load connected at the PCC. A simple model of the proposed system is developed and simulated in MATLAB environment. The effectiveness of the system is validated through extensive simulation results.
Keywords:	Permanent Magnet Synchronous Generator (PMSG), Maximum Power Point Tracking (MPPT), Dc-Dc Converter, Grid Side Inverter, Power Quality.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	SPEED CONTROL OF SINUSOIDALLY EXCITED SWITCHED RELUCTANCE MOTOR USING FUZZY LOGIC CONTROL
Author:	P.KAVITHA,, B.UMAMAHESWARI
Abstract:	This paper presents the speed control of SRM which is directly fed from an AC supply through a simple R dump converter. The controller uses fuzzy logic control (FLC) for switched reluctance motor (SRM) speed. The FLC performs a PI-like control strategy, giving the current reference variation based on speed error and its change. The performance of the drive system was evaluated through digital simulations through the toolbox Simulink of Matlab program. Merits and demerits of the proposed control algorithm are brought out.
Keywords:	Switched Reluctance Motor, R Dump Converter, Sinusoidal Excitation, Speed Control, Fuzzy Logic Control.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	ROBUST FEATURE SELECTION FROM MICRO ARRAY DATA USING LINEAR KERNEL SVM-RFE ALLIED WITH BOOTSTRAPPING
Author:	G.VICTO SUDHA GEORGE, Dr. V.CYRIL RAJ
Abstract:	In biomedical applications of computational biology, feature selection is considered to be an important issue as succeeding biological validations may be influenced by the robustness of the selected features significantly. More over a robust set of features may strengthen an expert’s confidence in the result of a selection method. But the stability or robustness of the selection algorithms has received attention lately. Though SVM-RFE is proved to be one of the most successful feature selection methods, it selects features using the gene expression data only without using any other biological information of the genes. Hence there is no guarantee that the selected features will have biological relevance. To overcome this issue, a framework for reliable feature selection has been proposed in this paper which illustrates that bootstrapping and leave-one-out cross-validation when used along with SVMRFE, increases its robustness significantly .
Keywords:	Feature Selection; Biomarker Detection; Stability; Machine Learning, Bootstrapping.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	A VIDEO SYNCHRONIZATION APPROACH FOR COHERENT KEY-FRAME EXTRACTION AND OBJECT SEGMENTATION
Author:	S.VIGNESWARAN, DR.A.LEELEMANI, K.DIVYA
Abstract:	In this paper we discuss a new video frame synchronization approach for coherent key-frame extraction and object segmentation. As two basic units for content-based video analysis, key-frame extraction and object segmentation are usually implemented independently and separately based on different feature sets. Our previous work showed that by exploiting the inherent relationship between key-frames and objects, a set of salient key-frames can be extracted to support robust and efficient object segmentation. This work furthers the previous numerical studies by suggesting a new analytical approach to jointly formulate key-frame extraction and object segmentation via a statistical mixture model where the concept of frame/pixel saliency which is introduced and also this deals with the relationship between the frames. A modified Expectation Maximization algorithm is developed for model estimation that leads to the most salient key-frames for object segmentation. Simulations on both synthetic and real videos show the effectiveness and efficiency of the proposed method.
Keywords:	Key frame Extraction, Synchronization, Object Segmentation, Multimedia, and Coherency.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	RISK MANAGEMENT IN INFORMATION TECHNOLOGY USING FACILITATED RISK ANALYSIS PROCESS (FRAP) (CASE STUDY: ACADEMIC INFORMATION SYSTEMS OF SATYA WACANA CHRISTIAN UNIVERSITY)
Author:	JAKSON PETRUS MANU BALE, EKO SEDIYONO, MARWATA
Abstract:	This paper describes a risk management on information technology to support the sustainability of academic information system at the university. The purpose of this study was to identify and quantify risks of application of information technology in academic information system at the university level, with cases in SWCU (SIA-SAT), prioritizing information technology risks are found, and determining how the risks can be controlled or reduced. The methodology used was a qualitative method, the data collected through library research and field study: interviews, observation and analysis method Facilitated Risk Analysis Process (FRAP). The result achieved was the discovery of risks, namely the risk that mainly service availability, security and integrity of data, as well as the service policy. Handling the risk then carried through the stages of FRAP, the form control list for each risk, determining suitable control through cross reference sheet, and recommendations for action that can be performed in an action plan.
Keywords:	FRAP, Information System, Risk Management, Academic
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	A NOVEL IDENTITY BASED CRYPTO LOGICAL APPROACH FOR CLUSTER EMPLOYED SECURE WIRELESS SENSOR NETWORKS
Author:	A.JEGATHEESAN, DR.D.MANIMEGALAI, G.THANUSHA
Abstract:	Wireless sensor network (WSN) is a network system comprised of spatially distributed devices using wireless sensor nodes. Due to the resource-limited sensor nodes, customary network security mechanisms are not suitable for WSNs. In this paper, we present a security mechanism, in which along with Mote Sec an Identity-Based digital Signature (IBS) scheme is employed on the network layer for WSNs with focus on secure network protocol and data access control. The IBCLA scheme uses IBS as identifiers for a node in the network to ensure concealment of its true identifier (ID).IBCLA can be embedded into any Wireless Sensor Network (WSN) routing protocol to ensure anonymity and privacy during node discovery, routing and data delivery in the network. The scheme is mostly engaged for Cluster founded network therefore boost the security of the system. In the proposed protocols, BS initially distributed secure keys and public parameters to all sensor nodes, which overcomes the key escrow problem recounted in ID-based crypto-systems. Secure communication in Identity founded digital signature relies on the ID-based cryptography, in which, user public keys are their Identity information. Therefore, sensor nodes can get the corresponding personal keys without auxiliary data transmission, which is effective in connection and saves energy.
Keywords:	Wireless sensor network (WSN), Identity-Based digital signature, key escrow problem, secure network protocol, data access control
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	PERFORMANCE ENHANCEMENT OF HIGH VOLTAGE GAIN TWO PHASE INTERLEAVED BOOST CONVERTER USING MPPT ALGORITHM
Author:	A.RAMESH BABU, Dr.T.A.RAGHAVENDIRAN
Abstract:	This paper proposes the simulation and implementation of performance enhancement of two phase interleaved boost converter using Maximum Power Point Tracking (MPPT) algorithm to achieve maximum power for Photo Voltaic ( PV) application. The output current is divided by two phase since current stress on each switch is reduced. Each switch is turn on by same frequency with phase difference of π. The output of PV panel is affected by temperature and insulation level, Hence conversion efficiency is very low. To improve the efficiency, additionally the MPPT controller is used in our proposed converter to efficiently draw the maximum power from the solar panel. The maximum power point is identified using Perturb &Observe (P&O) algorithm. The Perturb &Observe algorithm suitably to track the maximum power output of two phase interleaved boost converter with proper duty ratio. This paper present simulation and implementation procedure for two phase Interleaved Boost Converter with MPPT algorithm. The simulation results are obtained by using MATLAB/SIMULINK. The simulation results for non-isolated two stage interleaved high voltage gain boost converter were compared with and without MPPT. The MATLAB/simulink simulation results are presented to validate proposed converter. The hardware prototype of 12volt input 102 volt output has been developed.
Keywords:	PV, MPPT P& O algorithm, Coupled Inductor, Two phase, Voltage multiplier cell.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	EFFICIENT ENERGY BASED MULTIPATH CLUSTER ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS
Author:	A.P.SRIDEVI, Dr.A.RAJARAM
Abstract:	Wireless sensor networks consist of sensor nodes that have limited processing capability, small memory and low energy source. These nodes are deployed randomly and often densely in the environment. In monitoring applications, sensor nodes sense data from the environment periodically and then transmit them to a base station which is called sink node. Thereby data transmission consumes node’s energy based on transmission distance. In most wireless sensor networks, the energy source of the node is limited and cannot be minimized. Here, we have proposed the Efficient Energy based Multipath Cluster Routing Protocol for minimizing the energy consumption in WSNs. It consists of four phases. In this cluster formation, cluster head records all the cluster members. In multipath routing, network is organized as a group of networks. It provides load balancing and increased throughput to the network. In last two phases, both energy consumption model and condition for minimizing average energy consumption was proposed. The proposed scheme attains balance end to end delay, delivery rate and energy efficiency in WSNs. By simulation results, the proposed EEMCRP achieves better data delivery ratio, improved network lifetime, less end to delay and energy consumption in terms of mobility, time, throughput, simulation time and number of nodes than the existing scheme.
Keywords:	Wireless Sensor Network, Cluster formation, Multipath routing, energy consumption model, , network lifetime, end to end delay, energy consumption, throughput and delivery ratio.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	CROSS LAYER ENHANCED SECURE ROUTING SCHEME FOR AUTHENTICATION IN MOBILE AD HOC NETWORKS
Author:	C.SIVAMANI, Dr.P. VISALAKSHI
Abstract:	In recent years, mobile ad hoc networks provide new challenges and goals in fault tolerant computing area. Mobile nodes are communicated without any access point. In previous research works, fault tolerance has been achieved with or without the knowledge of checkpoint scheme. Due to high mobility of nodes in MANETs, there is always possibility of attacks among the agents which would result in performance degradation of the networks and damages the whole network connectivity. In this paper, a Cross Layer enhanced Secure Routing Scheme (CLSRS) is introduced for achieving fault tolerance level and authentication rate. Cross layer is deployed to improve the network lifetime and network performance. Cluster heads are chosen using trust threshold value based on signal strength and remaining energy level. Finally, digital signature generation and verification procedure is also proposed to authenticate packet as well as mobile agents. This scheme is integrated with diskless checkpoint protocol to achieve high fault tolerance rate. By using extensive simulation results, the proposed protocol CLSRS is observed to attain better performance when compared with approaches like Hybrid Cluster enhanced Stable Link Routing (HCSLR) and Cluster-based Certificate Revocation with Vindication Capability (CCRVC).
Keywords:	Cross Layer, Diskless Checkpoint, Cluster Head Election, Digital Signature Generation And Verification, Fault Tolerant Rate, Authentication Rate.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	A NOVEL MULTIUSER INTERFERENCE CANCELLATION METHOD FOR MULTICARRIER DIRECT SEQUENCE CDMA SYSTEM USING MAXIMUM LIKELIHOOD SEQUENTIAL DECODING
Author:	S.PRAVEEN CHAKKRAVARTHY, N.NAGARAJAN, V.ARTHI
Abstract:	It is well known that sequential decoding techniques such as Enhanced Maximum Likelihood sequential decoding (EMLSD) technique can obtain significant performance improvement over conventional decoding techniques in multicarrier direct sequence Code Division Multiple Access (MC-DS-CDMA) systems. Due to its simplicity and usefulness the EMLSD has received significant attention for several years. In this proposed work, three contributions are done for evaluation of the performance of the Multicarrier CDMA receiver. An expression is derived for Bit Error Rate (BER) with arbitrary spreading gain and Signal to Noise Ratio (SNR) requirements. The performance of maximum likelihood decoder under various ordering criteria is then examined based on spreading, path loss and SNR/BER requirement. A set of frequencies is then obtained using a multiuser interference cancellation algorithm. These subcarrier frequencies are very near the optimum in terms of minimizing error rate, thereby increasing the number of users.
Keywords:	EMLSD (Enhanced Maximum Likelihood Sequential Decoding), MUSIC (Multiple Successive Interference Cancellation)
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	PATTERN MINING TECHNIQUES FOR PRIVACY PRESERVING TRANSACTIONAL DATASETS USING ATTRIBUTE IMPACT MATRIX
Author:	VIJAYKUMAR, DR.T.CHRISTOPHER
Abstract:	Privacy preservation being studied well in recent days of data publishing where the sensitive items have to be hidden without spoiling the originality of data. We propose a new approach for privacy preservation of data items while publishing transactional data sets. The proposed approach generates transactional patterns using input data set, for each item set I to N , the proposed approach generates pattern set Ps. From generated pattern set ps, we compute support and profit values to select most frequent pattern set Mps. Identified pattern set is used to compute the attribute impact matrix , which represent the sanitized data set where the sensitive items are represented with impact measure of different number of item sets. Published data could be used to infer some knowledge but they could not back track the personal information from the sanitized data base. The proposed method is a simpler one which reduces the time and space complexity.
Keywords:	Privacy Preservation, Knowledge Hiding, Transactional Data Set, Attribute Impact Matrix.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	MEDICAL DECISION SUPPORT SYSTEM TO IDENTIFY GLAUCOMA USING CUP TO DISC RATIO
Author:	A.MURTHI, M.MADHESWARAN
Abstract:	ARGALI is an Automatic cup-to-disc Ratio measurement system for Glaucoma AnaLysIs Using level-set image processing. The parameters such as rim volume, cup/disc area ratio, cup area and volume, disc area and volume have been estimated and considered for general classification of Glaucoma. The developed method aims to exploit the advantages of ARGALI and for automated glaucoma risk assessment. The developed approach achieves a better CDR (Cup-to-Disc Ratio) value using novel techniques discussed in this paper. The level of Glaucoma influence for the patients has been estimated from the CDR values and it has been observed that the glaucoma level is independent of the age and dependent on the physical dimension of the eyes. Finally, it has been observed that the estimated values are very close to the clinical values and the correctness of the estimation have been verified with a team of Doctors and has been appreciated by them about its clinical usefulness.
Keywords:	Cup to Disc Ratio, Optic Nerve Head, Optical Coherence Tomography, Convex Hull, Region of Interest
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	INTERNAL THREATS ON INFORMATION SYSTEM SECURITY IN IRAQ HOSPITALS
Author:	MOHAMMED H. SHABAN, NOR HIDAYATI ZAKARIA
Abstract:	Managing security of medical information is currently experiencing significant challenges. "People issue" and "organization issue" have been identified as the most important challenges in this field. An organization internal threats have been considered as a serious danger which arise when the insiders commit fraud or steal sensitive information for personal monetary gain or to seek revenge. The organization is vulnerable to such attacks when the employees are compromising the organization’s security to get jobs done. On top of them, human resource managing is a daunting task especially when the organization has consultants, management personnel, partners, and other types of employees as well as a complex operational infrastructure. Insider attacks incur unfathomable losses to the organization through loss of revenue, reputation, intellectual property, and even human life. As such, it is vital that the information system’s security management is secured and maintained regardless of the multitude of human factors involved. This paper analyze the internal organizational human factors that could cause an information security breach in Iraq hospitals. We collected 301 samples from internal officers of 5 major publicly held hospitals in Iraq to examine the malicious human factors (MHF) that threatening the patients’ personal information and measure the (MHF) to identify the most influential factors.
Keywords:	Health Care Information System, Information Security, Insider Threats, Malicious Human Factors
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	CORRELATIVE ANALYSIS ON ENHANCED DESCENDENTS OF LEACH PROTOCOL FOR WIRELESS SENSOR NETWORKS
Author:	R.M.DILIP CHARAAN, Dr.R.RAMESH,
Abstract:	Wireless sensor networks (WSN) consist of a collection of sensor nodes sensing and storing data. In the WSN, the sensor nodes have limited transmission power and processing capability due to the limited energy resources. Infrastructure creation and data dissemination process in the Wireless sensor networks have been conventionally treated as the independent problems. Cluster Head selection plays a vital role in design of routing protocols. In this routing protocol individual and random mobile nodes are connected with the solar panel. Though we have many number of mobile hosts in the wireless network, connected with solar equipped system are capable to act as Cluster Head. To reduce the computational and communication costs we invoke an on-demand Cluster Head selection. However, the challenge is about to choose the Cluster Head among solar connected nodes and also various hierarchical routing protocol that are derived from Low Energy Adaptive Clustering Hierarchy (LEACH) have been analysed and surveyed. This paper also highlights the advantages and drawbacks of various Hierarchical routing protocols. The performance is evaluated using Network Simulator-2 and the results are shown.
Keywords:	Wsn,Routing,Hierarchical,Cluster Formation,Leach,Alive Nodes,Packet Delivery Ratio
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	AN IMPROVISED APPROACH TO GENERATE SIGNIFICANT ASSOCIATION RULES FROM CUSTOMER TRANSACTION DATABASE- EMPIRICAL ANALYSIS
Author:	ARCHANA SINGH, AJAY RANA, JAYANTHI RANJAN
Abstract:	There are techniques available in order to remove redundant and irrelevant association rules from transactional database. This paper emphasizes on identifying the significant rules from pool of rules generated using an improvised approach of the algorithm. A score model is proposed to find essential rules out of many rules. An attempt is made to find significant rules by using a proposed algorithm RuleGenerator which is based on an approach of adjacency lattice and depth first search to generate association rules. The proposed algorithm is less complex as compared to the existing one and generates rules in less number of edges. The empirical research analysis is done on the customer transaction database using Maruti Suzuki cars, it results in the vital customer choices and rules. The application in automobile sector, cars results in rules which help the Organization in identifying the segment of cars preferred by the certain category of customers. The study also focuses on the implication in detail, the usage of significant rules in various decision making activities.
Keywords:	Association Rules; Data Mining Algorithm; Significant Rule Value; Adjacency Lattice Structure; Decision Making
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	NMULET: IMPROVING THE QOS IN TERMS OF SECURITY FOR WIRELESS SENSOR NETWORKS
Author:	M.RAJENDIRAN, Dr.C.NELSON KENNEDY BABU
Abstract:	WSNs are infrastructureless framework and pass on by method for remote medium. Furthermore on account of the eminent attributes and characteristics of WSN they are used as a piece of climbing procurements like surveillance checking, center and military, remote zone. Generally sensor nodes are having adaptability lead the correspondence around the nodes happen by method for multi-bounce without any stipulations. It makes some piece of possible conclusions for distinctive feeble ambushes in WSN. In the current framework MULET computation was proposed for encoding and translating plain substance by mapping the characters clearly to the Unicode and it could be recognized by the aggressors successfully. The main objective of this paper is to provide a high security to improve the quality of service of WSN in terms of security. In this paper NMULET-[Novel Multi Language Encryption Technique] approach based estimation is exhibited for secure key time for encoding and unscrambling the data transmitted around center points. NMULET helps SOUTH-INDIAN languages based Key period and for more efficacies a gathering of Cryptographic strategies [md5, SHA-1, and CSHA-1] are given to customer choice. The examination conclusions show that NMULET gives more secured data transmission in WSN. Quality of Service in terms of Security is improved without affecting the network characteristics using NMULET is proved in this paper.
Keywords:	Wireless Adhoc Networks; Energy Efficiency; Novel Clustering Approach; Clustering.
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	STUDY OF PV PANELS AND ANALYSIS OF VARIOUS MPPT TECHNIQUES
Author:	R.KARTHIKEYAN, DR.A.K.PARVATHY
Abstract:	The paper provides an in-depth study concerning the photovoltaic (PV) types, factors affecting the solar array efficiency and effective methodology for selecting a right Maximum Power Point Tracking (MPPT) algorithm for desired application. The paper provides numerous factors to be considered during choice of MPPT to the PV panels and also compares the normally used MPPT technique. This paper should serve a reference guide for selecting type of panels and choice of MPPT technique for future analysis and applications.
Keywords:	Photovoltaic Cell, MPPT, Direct Current, Fuzzy Logic, Neural Network
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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Title:	A METHOD FOR EXTRACTING INFORMATION FROM THE WEB USING DEEP LEARNING ALGORITHM
Author:	J.SHARMILA, A.SUBRAMANI
Abstract:	Web mining related research are getting more important now a days because of the reason that large amount of data are managed through internet. The web usage is increasing in an uncontrolled manner. A specific system is needed for controlling such large amount of data in the web space. The web mining is classified into three major divisions that are web content mining, web usage mining and web structure mining. In this paper, we propose a web content mining approach based on a deep learning algorithm. The deep learning algorithm provides the advantage over Bayesian networks because Bayesian network is not following in any learning architecture like proposed technique. In the proposed approach, three features are considered for extracting the web content. The features used are concept feature, deals with the semantic relations in the web, format feature, deals with format of the content and title feature, deals with the web tittle. The above listed feature produces some model parameters, which is given as the input to the deep learning algorithm. The experimental analysis showed that, the proposed approach is efficient in web content extraction. The average precision, recall and f-measure values are updated as 83.875%, 78.3% and 80.83% respectively.
Keywords:	Web Mining, Uncontrolled Usage, Deep Learning Algorithm, Content Extraction
Source:	Journal of Theoretical and Applied Information Technology 20^th October 2014 -- Vol. 68. No. 2 -- 2014
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