IJCSIS Vol. 11 No. 10, October 2013 ISSN 1947-5500 International Journal of Computer Science & Information Security © IJCSIS PUBLICATION 2013 JCSI I S ISSN (online): 1947-5500 Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results. CALL FOR PAPERS International Journal of Computer Science and Information Security (IJCSIS) January-December 2013 Issues The topics suggested by this issue can be discussed in term of concepts, surveys, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas. See authors guide for manuscript preparation and submission guidelines. 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Deadline: see web site Notification: see web site Revision: see web site Publication: see web site Context-aware systems Agent-based systems Networking technologies Mobility and multimedia systems Security in network, systems, and applications Systems performance Evolutionary computation Networking and telecommunications Industrial systems Software development and deployment Evolutionary computation Knowledge virtualization Autonomic and autonomous systems Systems and networks on the chip Bio-technologies Knowledge for global defense Knowledge data systems Information Systems [IS] Mobile and distance education IPv6 Today - Technology and deployment Intelligent techniques, logics and systems Modeling Knowledge processing Software Engineering Information technologies Optimization Internet and web technologies Complexity Digital information processing Natural Language Processing Cognitive science and knowledge Speech Synthesis Data Mining For more topics, please see web site https://sites.google.com/site/ijcsis/ For more information, please visit the journal website (https://sites.google.com/site/ijcsis/) Editorial Message from Managing Editor International Journal of Computer Science and Information Security (IJCSIS – established since May 2009), is a venue to disseminate research and development results of lasting significance in the theory, design, implementation, analysis, and application of computing and security. As a scholarly open access peer-reviewed international journal, the primary objective is to provide the academic community and industry a forum for ideas and for the submission of original research related to Computer Science and Security. High caliber authors are solicited to contribute to this journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the Computer Science & Security. IJCSIS archives all publications in major academic/scientific databases; abstracting/indexing, editorial board and other important information are available online on homepage. Indexed by the following International agencies and institutions: Google Scholar, Bielefeld Academic Search Engine (BASE), CiteSeerX, SCIRUS, Cornell’s University Library EI, Scopus, DBLP, DOI, ProQuest, EBSCO. Google Scholar reported a large amount of cited papers published in IJCSIS. IJCSIS supports the Open Access policy of distribution of published manuscripts, ensuring "free availability on the public Internet, permitting any users to read, download, copy, distribute, print, search, or link to the full texts of [published] articles". IJCSIS editorial board consisting of international experts solicits your contribution to the journal with your research papers, projects, surveying works and industrial experiences. IJCSIS is grateful for all the insights and advice from authors & reviewers. We look forward to your collaboration. For further questions please do not hesitate to contact us at [email protected]. A complete list of journals can be found at: http://sites.google.com/site/ijcsis/ IJCSIS Vol. 11, No. 10, October 2013 Edition ISSN 1947-5500 © IJCSIS, USA. Journal Indexed by (among others): IJCSIS EDITORIAL BOARD Dr. Yong Li School of Electronic and Information Engineering, Beijing Jiaotong University, P. R. China Prof. Hamid Reza Naji Department of Computer Enigneering, Shahid Beheshti University, Tehran, Iran Dr. Sanjay Jasola Professor and Dean, School of Information and Communication Technology, Gautam Buddha University Dr Riktesh Srivastava Assistant Professor, Information Systems, Skyline University College, University City of Sharjah, Sharjah, PO 1797, UAE Dr. Siddhivinayak Kulkarni University of Ballarat, Ballarat, Victoria, Australia Professor (Dr) Mokhtar Beldjehem Sainte-Anne University, Halifax, NS, Canada Dr. Alex Pappachen James (Research Fellow) Queensland Micro-nanotechnology center, Griffith University, Australia Dr. T. C. Manjunath HKBK College of Engg., Bangalore, India. Prof. Elboukhari Mohamed Department of Computer Science, University Mohammed First, Oujda, Morocco TABLE OF CONTENTS 1. Paper 30091303: The Application of Data Mining to Build Classification Model for Predicting Graduate Employment (pp. 1-7) Bangsuk Jantawan, Department of Tropical Agriculture and International Cooperation, National Pingtung University of Science and Technology, Pingtung, Taiwan Cheng-Fa Tsai, Department of Management Information Systems, National Pingtung University of Science and Technology, Pingtung, Taiwan Abstract — Data mining has been applied in various areas because of its ability to rapidly analyze vast amounts of data. This study is to build the Graduates Employment Model using classification task in data mining, and to compare several of data-mining approaches such as Bayesian method and the Tree method. The Bayesian method includes 5 algorithms, including AODE, BayesNet, HNB, NaviveBayes, WAODE. The Tree method includes 5 algorithms, including BFTree, NBTree, REPTree, ID3, C4.5. The experiment uses a classification task in WEKA, and we compare the results of each algorithm, where several classification models were generated. To validate the generated model, the experiments were conducted using real data collected from graduate profile at the Maejo University in Thailand. The model is intended to be used for predicting whether a graduate was employed, unemployed, or in an undetermined situation. Keywords-Bayesian method; Classification model; Data mining; Tree method 2. Paper 30091323: Randomness Analysis of 128 bits Blowfish Block Cipher on ECB mode (pp. 8-21) (1) Ashwak ALabaichi (2) Ramlan Mahmod (3) Faudziah Ahmad (1)(3) Information Technology Department, University Utara Malaysia, 06010, Sintok, Malaysia (1) Department of computer science, Faculty of Sciences , Kerbala University, Kerbala,00964, Iraq (2) Faculty of Computer Science and Information Technology, University Putra Malaysia, Serdang, Selangor, 43400, Malaysia Abstract - This paper presents the statistical test of randomness on the Blowfish Block Cipher 128-bit is continuation with our eaelier papers title" Randomness Analysis on Blowfish Block Cipher using ECB mode" and "Randomness Analysis on Blowfish Block Cipher using ECB and CBC Modes", . Blowfish128-bit is extention of blowfish 64-bit. Blowfish 128-bit resemble blowfish 64-bit but only in blowfish algorithm block size is 64 bits but in an extension version block size is 128 bits and all operations based on 64 bits instead of on 32 bits. Blowfish 128-bit is a symmetric block cipher with variable key lengths from 64 bits up to a maximum of 896 bits this leads to increase security of the algorithm. The randomness testing was performed using NIST Statistical Test Suite. The tests were performed on Blowfish 128-bit with ECB mode.Our analysis showed that Blowfish 128-bit algorithm with ECB mode such as blowfish 64-bit where is not inappropriate with text and images files that contain huge number of identical bytes and better than blowfish 64-bit with video files. c++ is used in the implementation of the blowfish 128-bit while NIST is implemented under Linux operating system. Keywords: Block Cipher, Blowfish Algorithm 128-bit, ECB mode, randomness testing. 3. Paper 30091328: Relay Assisted Epidemic Routing Scheme for Vehicular Ad hoc Network (pp. 22-26) Murlidhar Prasad Singh, Deptt of CSE, UIT, RGPV Bhopal, MP, India Dr. Piyush Kumar Shukla, Deptt of CSE, UIT, RGPV Bhopal,MP, India Anjna Jayant Deen, Deptt of CSE, UIT, RGPV Bhopal, MP, India Abstract — Vehicular ad hoc networks are networks in which no simultaneous end-to-end path exists. Typically, message delivery experiences long delays as a result of the disconnected nature of the network. In this form of network, our main goal is to deliver the messages to the destination with minimum delay. We propose relay assisted epidemic routing scheme in which we tend to use relay nodes (stationary nodes) at an intersection with a completely different number of mobile nodes which differs from existing routing protocols on how routing decision are made at road intersection where relay nodes are deployed. Vehicles keep moving and relay nodes are static. The purpose of deploy relay nodes is to increase the contact opportunities, reduce the delays and enhance the delivery rate. With various simulations it has been shown that relay nodes improves the message delivery probability rate and decreases