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Conferences Update on Tuesday, 20 November 2018: Prof. Sara Paiva / Instituto Polit├ęcnico de Viana do Castelo, Viana do Castelo, Portugal becomes Conference Chairperson of the 1st International Conference on Smart Cities and Smart Technologies (MIC-Smart 2019).
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CNIT Conferences with Published Papers

MIC-CNIT 2009, Amman
2 Papers

MIC-CNIT 2010, Amman
7 Papers
Papers Published at MIC-CNIT 2010
All 7 Papers
IDAuthors and TitlePages
18.Cnf-10 Mr. Muamer Mohammed, Dr. Norrozila Sulaiman and Mr. Osama A. Muhsin, A Novel Intrusion Detection System by Using Intelligent Data Mining in Weka Environment1-4
18.Cnf-15 Prof. Khireddine Abdelkrim, Mr. Djamel Derardja and Mr. J. Salvestrini, Artificial Intelligence Applied for a Telecommunication Satellite5-9
18.Cnf-22 Mr. Jiri Libich and Prof. Stanislav Zvanovec, Thermal Influences of Buildings on Availability of Free Space Optical Links10-13
18.Cnf-24 Mr. Saifur R. Sabuj and Mr. Md S. Islam, Suppression of Intercarrier Interference Using Self-Cancellation Data Conjugate Scheme in MIMO-OFDM System14-18
18.Cnf-25 Mr. Saifur R. Sabuj, Mr. Zulfiker Mahmud and Mr. M. E. Mollah, Suppression ICI Self-Cancellation Technique in OFDM using ADS 19-22
18.Cnf-26 Mr. Majid Naghmash, Prof. Mohd F. Ain and Mr. Yin H. Chye, Low-Power Decimation Filter Design for SDR Receiver Applications23-27
18.Cnf-39 Dr. Cinzia Bernardeschi, Dr. Luca Cassano, Dr. Andrea Domenici and Dr. Paolo Masci, Analysis of FPGAs Using the SAN Formalism28-33
18.Cnf-10 Paper View Page
Title A Novel Intrusion Detection System by Using Intelligent Data Mining in Weka Environment
Authors Mr. Muamer Mohammed, Universiti Malaysia Pahang, Kuantan, Malaysia
Dr. Norrozila Sulaiman, Universiti Malaysia Pahang, Kuantan, Malaysia
Mr. Osama A. Muhsin, University Tenaga Nasional, ,
Abstract Nowadays, the using of intelligent data mining approaches to predict intrusion in local area networks has been increasing rapidly. In this paper, an improved approach for Intrusion Detection System (IDS) based on combining data mining and expert system is presented and implemented in WEKA. The taxonomy consists of a classification of the detection principle as well as certain WEKA aspects of the intrusion detection system such as open-source data mining. The combining methods may give better performance of IDS systems, and make the detection more effective. The result of the evaluation of the new design produced a better result in terms of detection efficiency and false alarm rate from the existing problems. This presents useful information in intrusion detection.
Track CIT: Communication and Information Technology
Conference 4th International Conference on Communications, Networking and Information Technology (MIC-CNIT 2010), 3-5 December 2010, Amman, Jordan
Pages 1-4
Topics Internet Security
Optimization of Computing Algorithms
ISSN 2227-331X
Paper Views 208 Paper Views Rank 27/452
Paper Downloads 133 Paper Downloads Rank 29/452
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