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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
March 2016 | Vol. 85 No.3

Title:	IMAGE SMOOTHENING AND MORPHOLOGICAL OPERATORS BASED JPEG COMPRESSION
Author:	MARLAPALLI KRISHNA, G SRINIVAS, PRASAD REDDY PVGD
Abstract:	Over the past decades the magnitude of transmitted information through internet has amplified exponentially. The considerable way to compress an image is provided by image compression. JPEG is the core triumphant still image compression for band width conservation. So images can be accumulated and transmitted earlier. Mathematical morphology is an inventive mathematical theory which can be used to route and appraise the images. In this paper, we intend an innovative JPEG compression algorithm based on fundamental morphological operators dilation and erosion and the other morphological operations which are the amalgamation of the two basic operations. The planned JPEG algorithms shows improved results compared to standard JPEG compressed data in terms of image quality metrics like PSNR, MSE and encoded bits. The planned JPEG algorithms augments speed while lessen memory necessities by reducing the encoded bits. The reconstructed images after decompression are at par with the original image data.
Keywords:	Image Compression, Morpholoigcal operators, Smoothening, PSNR, MSE
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	PERFORMANCE AND SCHEDULING OF HPC APPLICATIONS IN CLOUD
Author:	PROF. FADI FOUZ, ADNAN ABI SEN
Abstract:	Cloud computing is a new concept that started to widely spread with internet connection services to be a strong complemented for many services and a window for several companies and researchers to access to huge platforms with simple cost and without need to use it directly. One of the most important platforms, which most research centers or companies with a high performance computation (HPC), need it. So, this paper concerns about one of the most important problems that faces the application of this service and providing it through cloud. This problem is scheduling jobs that are needed to be executed on HPC. This paper proposed a new scheduling that takes in account the major factors related to any work (cost, time, resources, and quality) to achieve better performance with less cost and complete quality. Through experiments, we proofed that our proposed approach can overcome many previous proposed approached.
Keywords:	Cloud Computing, Scheduling algorithm, High Performance Computer, Classifier
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	DISTRIBUTED ANALYSIS OF BIG PERSONAL DATA SETS WITH RESPECT TO PRIVACY
Author:	ALEKSEY PAKHOMOV, KONSTANTIN ZAYTSEV
Abstract:	Monitoring of cross-boundary financial operations routinely affects the interests of governmental and credit organizations of foreign countries which may not match the objectives of financial monitoring of investigation initiating country. Therefore, cross-boundary information requests should better be done in such a way to eliminate the possibility to identify objects of interest upon requests filed to databases of those organizations. Usually, Zero-knowledge proof technology is used. However, most scientific papers in this field are oriented at abstract study of the efficiency of algorithms (protocols) of interactive proof and assessment of their complexity, without solving concrete applied tasks. The objective of this paper is to seek an approach to anonymous comparisons of personal data and further use of that approach for financial monitoring of large organizations and international scientific projects. To solve the task set up, well-known protocols Fiat-Shamir, Guillou-Quisquater (GQ) and Schnorr were analyzed. As the basic, Fiat-Shamir protocol was chosen; it was modified by widening its use to the extent of checking of personal data storage facts in a database. The solution offered differs from known ones by combining Zero-knowledge proof technology with cryptologic transformation via hash function and is the most exact compared to frequently used approaches in that area and has reasonable productivity. Modified protocol was tested taking as an example identification of international terrorists among the list of financial operations parties.
Keywords:	Zero-knowledge Proof Password, Hash Function, Data Exchange Protocol, Anti-fraud, Money Laundering, Terrorist Financing, Scientific Collaboration
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	APPLICABILITY OF PROCESS CAPABILITY ANALYSIS IN METRIFYING QUALITY OF SOFTWARE
Author:	POOJA JHA, K S PATNAIK
Abstract:	Defects occurrence during software development process is a common phenomenon and its consequences in software organizations are inevitable. This can result in software failure or delayed delivery of product. Defect removal procedure is obviously an option but on the other hand it, it can affect the budget of organization. Organizations are demanding timely delivery of defect free and high quality software. Besides defect removal, defect prevention techniques must be encouraged during development. It should be considered as an ongoing process during development to enhance quality and testing efficiency. The paper is an empirical work enhancing the relevance of some of process enhancing metrics. These metrics are useful in monitoring the on-going software development and meeting the quality standards. The paper explores the applicability of capability analysis metrics for defect prevention and how it can be used as technique for upgrading software quality.
Keywords:	Metrics, Organization Baselines, Process Capability Analysis, AD GoF tests, Quality
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	A NEW MODIFICATION FOR MENEZES-VANSTONE ELLIPTIC CURVE CRYPTOSYSTEM
Author:	ZIAD E. DAWAHDEH , SHAHRUL N. YAAKOB, ROZMIE RAZIF BIN OTHMAN
Abstract:	Information security algorithms are widely used in the recent times to protect data and messages over internet. Elliptic Curve Cryptography (ECC) is one of the most efficient techniques that are used for this issue, because it is difficult for the adversary to solve the elliptic curve discrete logarithm problem to know the secret key that is used in encryption and decryption processes. A new efficient method has been proposed in this paper to improve the Menezes-Vanstone Elliptic Curve Cryptography (MVECC). This modification reduces the running time needed for encryption and decryption processes compared with the original method and another two methods. In the modified method, only addition and subtraction operations are used, and no inversion or multiplication operations because it consumes a long time comparing with addition and subtraction, and this makes the proposed algorithm faster in computations and running time than the original and other methods. Moreover, the modified method uses the hexadecimal ASCII value to encode each character in the message before encryption, which makes the algorithm more secure and complicated to resist the adversaries.
Keywords:	Elliptic Curve Cryptography, Menezes-Vanstone Elliptic Curve Cryptosystem, Encryption, Decryption, Hexadecimal ASCII.
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	ENRICHING PROCESS OF ICE-CREAM RECOMMENDATION USING COMBINATORIAL RANKING OF AHP AND MONTE CARLO AHP
Author:	AKASH RAMESHWAR LADDHA, RAHUL RAGHVENDRA JOSHI, Dr.PEETI MULAY
Abstract:	Diabetes disease is the curse to human life and it is one of the worst nightmares of everyone’s life. The patient needs to keep count on the sugar level each time when he/she consumes food, sugar free ice-creams are not spared from this and are favorite dessert of every one. Very less systems exist which can guide diabetic and non-diabetic persons about the contents of sugar free ice-creams. Many methodologies exist to recommend the ice-creams which are based on some traditional techniques like collaborative filtering and content recommendations. But most of the time their results are not up to the mark and they may wrongly recommend the ice-cream which may adversely disturb blood sugar level of the person. So, proposed methods put forward an idea of recommending sugar free ice-creams based on its ingredients like carbohydrates, fats, proteins and dietary fibers, which play a vital role in affecting blood glucose levels of diabetics and non-diabetics. The proposed system uses advanced techniques like Analytic Hierarchy Process (AHP) and Monte Carlo AHP (MCAHP) which can be powered with Goal programming and classification process. It is observed that rankings obtained from these two techniques are same for ice creams under consideration. This paper mainly focuses on the techniques of AHP and MCAHP for the ranking of considered sugar free ice-creams.
Keywords:	Analytic Hierarchy Process (AHP), Sugar Free, Ice-creams, Monte Carlo AHP (MCAHP), Ranking etc
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	APPLICATION IN PRACTICE AND OPTIMIZATION OF INDUSTRIAL INFORMATION SYSTEMS
Author:	LIDIYA ALEKSEEVNA BONDARENKO, AFANASY VLADIMIROVICH ZUBOV, VYACHESLAV BORISOVICH ORLOV, VALENTINA ALEKSANDROVNA PETROVA, NIKITA SERGEEVICH UGEGOV
Abstract:	The article is concerned with the research of the issues of the optimization and practical application of industrial information systems in the management of complex organizational systems. The article contains an example of the application of the developed methods for the training of experts in the application of industrial information systems for automated bookkeeping and management accounting, calculation of salaries and personnel inventory, implemented at the St. Petersburg State University.
Keywords:	Industrial Information Systems, Manufacturing Execution Systems, Enterprise Resource Planning, Enterprise Resource Planning, On-Line Analytic Processing, “1C:Enterprise 8”
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	CUSTOMIZED INSTRUCTIONAL PEDAGOGY IN LEARNING PROGRAMMING – PROPOSED MODEL
Author:	MUHAMMED YOUSOOF, MOHD SAPIYAN
Abstract:	Computer programming is a highly cognitive skill. It requires mastery of many domains. But in reality many learners are not able to cope with the mental demands required in learning programming. Thus it leads to rote learning and memorization. There are many reasons for this situation. However one of the main reasons is the nature of the novice learners who experience high cognitive load while learning programming. Given the fact that the novice learners lack well defined schema and the limitation of the working memory, the students could not assimilate the knowledge required for learning. It is to be noted that some learning support in the form of visualization may help in learning programming, as teachers are always reminded that use of visual aids could enhance learning in students. The effect of visualization in learning is not clearly tangible. This paper address this issue by employing NASA TLX rating scale to measure the cognitive load in learning programming using visualizations. The measurement of cognitive load could help to understand the difficulty level of the learners. The learners vary one another in terms of their learning style and capabilities and hence the load experienced during learning programming may differ significantly from one another in a same homogenous group. This paper will propose a model to optimize the instruction to learners based on their background profile and will employ neural network to optimize the instruction by suggesting the best visualization tool for each learner.
Keywords:	Programming, Visualization, Cognitive Load, NASA TLX scale, Neural Network
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	PARALLEL IMPLEMENTATION OF APRIORI ALGORITHMS ON THE HADOOP-MAPREDUCE PLATFORM- AN EVALUATION OF LITERATURE
Author:	A.L.SAYETH SAABITH , ELANKOVAN SUNDARARAJAN , AND AZURALIZA ABU BAKAR
Abstract:	Data mining is the extraction of useful, prognostic, interesting, and unknown information from massive transaction databases and other repositories. Data mining tools predict potential trends and actions, allowing various fields to make proactive, knowledge-driven decisions. Recently, with the rapid growth of information technology, the amount of data has exponentially increased in various fields. Big data mostly comes from people’s day-to-day activities and Internet-based companies. Mining frequent itemsets and association rule mining (ARM) are well-analysed techniques for revealing attractive correlations among variables in huge datasets. The Apriori algorithm is one of the most broadly used algorithms in ARM, and it collects the itemsets that frequently occur in order to discover association rules in massive datasets. The original Apriori algorithm is for sequential (single node or computer) environments. This Apriori algorithm has many drawbacks for processing huge datasets, such as that a single machine’s memory, CPU and storage capacity are insufficient. Parallel and distributed computing is the better solution to overcome the above problems. Many researchers have parallelized the Apriori algorithm. This study performs a survey on several well-enhanced and revised techniques for the parallel Apriori algorithm in the Hadoop-MapReduce environment. The Hadoop-MapReduce framework is a programming model that efficiently and effectively processes enormous databases in parallel. It can handle large clusters of commodity hardware in a reliable and fault-tolerant manner. This survey will provide an overall view of the parallel Apriori algorithm implementation in the Hadoop-MapReduce environment and briefly discuss the challenges and open issues of big data in the cloud and Hadoop-MapReduce. Moreover, this survey will not only give overall existing improved Apriori algorithm methods on Hadoop-MapReduce but also provide future research direction for upcoming researchers.
Keywords:	Data mining big data ARM Hadoop-MapReduce Cloud Apriori
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	A NEW APPROACH TO DESIGN AN ATTRACTIVE GAME BASED LEARNING IN VARIOUS DOMAINS
Author:	LAMYAE BENNIS, SAID BENHLIMA
Abstract:	Serious Games has been extensively utilized in diverse domains such as the military, education, marketing and advertising. In this article, we are particularly interested in Serious Games (SG) for education, called Learning Game (LG). Currently Learning Games consumers still suffer from the high prices and complications of emerging and designing an effective learning game without being a developer or an informatics designer. In addition there is a huge lack of authoring tool which allows the generation of LG linked to various culture, ethnicity, and language for example (our Moroccan culture, ethnicity and our native language). Therefore the main aim of this research work is to develop and design an authoring tool entitled (Serious Game Generator) “S.G.G” which addresses all the problems above using the generic model DICE to ease the conception of Game Based Learning (GBL) generated by this tool.
Keywords:	Serious Games, Learning Games, Design, Method DICE, Authoring Tool, Game Based Learning
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	AN EFFICIENT TECHNIQUE USING LIFTING BASED 3-D DWT FOR BIO-MEDICAL IMAGE COMPRESSION
Author:	M. KALAIARASI, T. VIGNESWARAN
Abstract:	Compression technique is significant in day to day scenario for smooth transmission of data. By utilizing this technique the bandwidth utilization is reduced. Even compression techniques help us for efficient memory utilization to make overall data transmission better. Data size in different cases is quite huge and difficult to send without compressing it. In the bio- medical arena, it is applicable because of the large image size, but at the same time it is having its own challenges in terms of data loss. While reconstructing the image, the possibility of data loss or quality loss comes into picture. Though there are many techniques which suggest lossless compression and decompression but still refinement is required. There are techniques using discrete wavelet transform to do the lossless image compression. The recent one is the Three-Dimensional Discrete Wavelet Transform (3-D DWT). In this research work, a lifting based Discrete Wavelet Transform architecture for three dimensional images is presented. The proposed architecture has been implemented on Xilinx Virtex-6 Series Field-Programmable Gate Array (FPGA). Implementation results show the efficiency of proposed system in terms of power consumption and operating frequency. The proposed architecture of Discrete Wavelet Transform achieves a maximum operating frequency of 298 MHz with a power consumption of 7 mW.
Keywords:	Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT), Peak-Signal-to-Noise Ratio (PSNR), Very-Large-Scale Integration (VLSI), Lifting scheme.
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	K-TIER SEPARATION BASED ABSTRACTION REFINEMENT SCHEDULERS FOR PARALLEL JOB IN MULTIPLE CLOUD CENTERS
Author:	MR.C.ANTONY, DR.C.CHANDRASEKAR, DR.S.NITHYA REKHA
Abstract:	Current approaches to enforce cloud computing for complex applications, processed in remote data centers are based on parallel processing capabilities. Under such approaches, parallel applications minimize the CPU utilization on the cloud whenever communication and synchronization between different parallel processes takes place. Also data center thus incur workloads in the cloud. A better approach should take responsiveness as the top priority so as to minimize the overhead at the data centers while assuring nontrivial effort from the side of the data centers. But at the same time it not only increases the communication cost but also results in the improper utilization of nodes in the data center with poor responses to parallel workload with many data center in the cloud. In this paper we propose an approach to improve the utilization of nodes and also respond to parallel workload in an efficient manner. We propose an approach called abstraction refinement scheduling for parallel job in multiple cloud centers. Under our approach, the problem of large-scale scheduling is solved using abstraction refinement schedulers. A challenging issue is how to solve the problem of scheduling for K-tier separation such that the scheduling is done fast with small abstraction refinements. On the basis of abstraction refinement schedulers, different schedulers are developed from various computing domains on simulated data centers. Extensive experiments are conducted to validate our approach where the results are implemented with CloudSim in JAVA on the parametric factors such as number of data centers, job assigned, time intervals, memory rate and CPU Cycles for abstraction scheduler.
Keywords:	Parallel Processing, Communication, Synchronization, Parallel Workload, Abstraction Refinement Scheduling
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	PILOT STUDY OF EHRS ACCEPTANCE IN JORDAN HOSPITALS BY UTAUT2
Author:	MALIK BADER. ALAZZAM, ABD. SAMAD HASAN BASARI, ABDUL SAMAD SIBGHATULLAH, MOHAMAD RAZIFF RAMLI, MUSTAFA MUSA JABER, MOHD HARIZ NAIM
Abstract:	Purpose: Electronic health records (EHRs) exchange improves hospital quality and reduces health costs. However, few studies address the antecedent factors of healthcare professionals’ intentions to use EHR system. We examine the factors that effecting on EHRs acceptance by Unified Theory of Acceptance and Use o[f Technology (UTAUT2) model, this is a new methodology for evaluating acceptance of EHRs. We propose a theoretical model to explain the exercise behavior of health care professionals’ to use an EHR system acceptance. The goal from this study to investigate the factors that affect the acceptance of electronic health records system by healthcare professionals. This study applied in Jordanian hospitals which use EHR system. Our objectives to build a clear vision of the factors that affect the user acceptance of the system by pilot test to be the start of an in-depth study and expanded in the future, based on a preliminary study Methods: We conducted a pilot test survey in Jordan hospitals to collect data from healthcare professionals who had experience using the EHR systems. A valid sample of 22 responses from 70 questionnaires were collected for data analysis to pilot test
Keywords:	EHRs, Healthcare Professionals, UTAUT1, UTAUT2, Healthcare Professionals, Acceptance, Trust Factors
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	AN INVESTIGATION ON THE VIABILITY OF USING IOT FOR STUDENT SAFETY AND ATTENDANCE MONITORING IN IRAQI PRIMARY SCHOOLS
Author:	AMMAR KHALEEL, SALMAN YUSSOF
Abstract:	In Iraq, many student abduction cases are reported due to the lack of safety mechanisms and the lack of law enforcement. Educational institutions such as primary schools are looking for a better mechanism to monitor the student attendance so that the safety of the students can be better monitored. Currently, student attendance in schools is done in a traditional manner where the teachers will manually check and record the attendance of students in their class. However, this traditional method has many drawbacks such as it can only be taken at certain time interval and therefore cannot monitor students in real time. The main aim of this study is to investigate the viability of using Internet of Things (IoT) approach to monitor student attendance and their presence in the school compound in real time in order to ensure their safety. A quantitative data collection using questionnaire with 113 working staff from Iraqi primary schools was conducted to identify the current challenges of student monitoring and the viability of using IoT to address these challenges. The results of the questionnaire analysis show that the use of IoT could improve the safety environment of primary schools by being able to monitor student attendance accurately in real time.
Keywords:	IoT, Primary Schools, Students, Attendance Monitoring, Safety.
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	ENTERPRISE RESOURCE PLANNING ADOPTION LIFECYCLE: A SYSTEMATIC LITERATURE REVIEW
Author:	MARINA HASSAN, MARZANAH A. JABAR, FATIMAH SIDI, YUSMADI YAH JUSOH, SALFARINA HASSAN
Abstract:	Enterprise Resource Planning (ERP) system is a tool in managing the business management function from operational, tactical and strategic management towards the emergence of Information System (IS). The awareness of ERP technology is slowly develops among industrial and non-industrial people. Needs of having the ERP software is not properly discussed within the organization. Some does not even know why they need ERP in their industry. Few in depths knowledge regarding ERP will bring to failure of ERP adoption. The paper was conducted by following systematic literature review methods. Literature search related to ERP methodology reveal 345 papers. After further reading done, 133 papers were identified as a key paper for the topics chosen. Obtaining details understanding of ERP lifecycle, we identified 19 ERP lifecycle papers from the literature from 2009 to 2015. We do a tabulated table to check on ERP needs, objectives and factors affecting the success of ERP adoption in order to get the expectations usage of ERP. A conceptual model of ERP lifecycle will be developed to understand the stages on how to choose a quality ERP software based on the organization objectives. The paper includes the details stages in ERP adoption lifecycle so that user will know specifically what they need to do before or during implementing ERP software. This paper expected to bring awareness about the ERP model itself and to acknowledge people that ERP model will lead to the successful of ERP adoption in developing their business.
Keywords:	ERP models, ERP success factors, ERP adoption
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	PATTERN BASED EVALUATION FOR EXTRACTING PERSONALIZED PROFILES
Author:	P. SATHVIK NAGA SAI, DR .P. SIVA KUMAR
Abstract:	The customer server model, we display a point by point structural planning and outline execution of PMSE. In this configuration, customer accumulates and stores locally the explore data to secure protection, while substantial undertakings, for instance, thought extraction, get ready, and re situating are performed near PMSE server. PMSE altogether enhances the exactness contrasting with the benchmark. In the event that any system presents for enhancing the productivity of their relative system is being referred to examples also, travel examples getting to. In this paper, we propose CPHC (Classification by Pattern based Hierarchical Clustering), a semi-controlled grouping calculation that uses an example based bunch chain of command as an immediate implies for order. All preparation what's more, test occasions are initially bunched together utilizing an occurrence driven example based progressive grouping calculation that permits every case to "vote" for its agent size-2 designs in a way that adjusts neighborhood design centrality and worldwide example interestingness. These examples structure beginning groups and whatever is left of the bunch chain of command is acquired by taking after a remarkable iterative group refinement prepare that endeavors neighborhood data. The subsequent group progressive system is then utilized straightforwardly to characterize test cases, taking out the need to prepare a classifier on an upgraded preparing set. Our exploratory results appear productive preparing of each inquiry improvement in preparing data set.
Keywords:	PMSE, CPHC, Cluster Chain Of Command, Group Refinement, Semi-Directed Characterization
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	STRENGTHENING USER AUTHENTICATION FOR BETTER PROTECTION OF MOBILE APPLICATION SYSTEMS
Author:	KARTINI MOHAMED , FATIMAH SIDI ,MARZANAH A. JABAR , ISKANDAR ISHAK , NORAHANA SALIMIN , NOR SAFWAN AMIRUL SALLEH , ABDUL QAIYUM HAMZAH , AHMAD DAHARI JARNO , MUHAMAD FAEEZ PAUZI
Abstract:	For most of us now, life is incomplete if living without mobile phones. This is because mobile phones are like a necessity to many people nowadays. Statistics have shown that more than seven billion people in the world are having these devices in 2015. This also means 97% of the human world populations are actually mobile phone users. Besides, more than 50% of the mobile phone users are using smarts phones which are capable of downloading a lot of mobile application systems (apps). It is estimated that more than 200 million apps are being downloaded in 2007 and this number is believed to be growing. Unfortunately, many of these apps involve the transfer of important and confidential personal data or business information. How to ensure this sensitive information is well protected from being stolen or misused by unauthorized parties? One of the ways to secure this communication is to properly control the access to the system by strengthening the user authentication. Thus, this paper focuses on one the techniques to enhance the protections of mobile apps to prevent intrusions by unpermitted users. The enhancement is focusing on improving the multi-factor elements and the text ciphering technique of the user authentication. In this study, random number and time are added in the existing text-based multifactor user authentication. Besides, encryption and hash are used as the text ciphering technique to improve the protection. To measure how secure the proposed enhancement is, an independent testing body has been appointed to perform Vulnerability Test and Functionality Test to the apps. If all these tests are passed, it can be said that the proposed enhancement is strong enough to protect the apps from being intruded. Based on the test results provided by the testing body, CyberSecurity Malaysia, the apps has passed all the Vulnerability Test and Functionality Test. This shows that the control of the access to these apps are strong and able to prevent from being accessed by unpermitted users. This also means the proposed enhancement is able to give better protections to ensure the mobile apps can't be easily broken into by unauthorized mobile phone users.
Keywords:	User authentication, Data Protection, Data Transmission, Wireless Communication, Mobile Application Systems
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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Title:	DESIGN OF A MONITOR FOR DETECTING MONEY LAUNDERING AND TERRORIST FINANCING
Author:	TAMER HOSSAM HELMY, MOHAMED ZAKI, TAREK SALAH, KHALED BADRAN
Abstract:	Money laundering is a global problem that affects all countries to various degrees. Although, many countries take benefits from money laundering, by accepting the money from laundering but keeping the crime abroad, at the long run, “money laundering attracts crime”. Criminals come to know a country, create networks and eventually also locate their criminal activities there. Most financial institutions have been implementing anti-money laundering solutions (AML) to fight investment fraud. The key pillar of a strong Anti Money Laundering system for any financial institution depends mainly on a well designed and effective monitoring system. The main purpose of the Anti Money Laundering transactions monitoring system is to identify potential suspicious behaviors embedded in legitimate transactions. This paper presents a monitor framework that uses various techniques to enhance the monitoring capabilities. This framework is depending on rule base monitoring, behavior detection monitoring, cluster monitoring and link analysis based monitoring. The monitor detection processes are based on a money laundering deterministic finite automaton that has been obtained from their corresponding regular expressions.
Keywords:	Anti Money Laundering system, Money laundering monitoring and detecting, Cycle detection monitoring, Suspected Link monitoring
Source:	Journal of Theoretical and Applied Information Technology 31^st March 2016 -- Vol. 85. No. 3 -- 2016
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