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  • GC-CNIT 2010
  • 18.Cnf-10
Papers Published at GC-CNIT 2010
All 7 Papers
IDAuthors and TitlePages
18.Cnf-10 Mr. Muamer Mohammed
Dr. Norrozila Sulaiman
Mr. Osama A. Muhsin
A novel intrusion detection system by using intelligent data mining in WEKA environment
1-4
18.Cnf-15 Prof. Khireddine Abdelkrim
Mr. Djamel Derardja
Mr. J. Salvestrini
Artificial intelligence applied for a telecommunication satellite
5-9
18.Cnf-22 Mr. Jiri Libich
Prof. Stanislav Zvanovec
Thermal Influences of Buildings on Availability of Free Space Optical Links
10-13
18.Cnf-24 Mr. Saifur R. Sabuj
Mr. Md S. Islam
Suppression of intercarrier interference using self-cancellation data conjugate scheme in MIMO-OFDM system
14-18
18.Cnf-25 Mr. Saifur R. Sabuj
Mr. Zulfiker Mahmud
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
Mr. Yin H. Chye
Low-power decimation filter design for SDR receiver applications
23-27
18.Cnf-39

GS Citations

Dr. Cinzia Bernardeschi
Dr. Luca Cassano
Dr. Andrea Domenici
Dr. Paolo Masci
Analysis of FPGAs Using the SAN formalism
28-33
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 Mosharaka International Conference on Communications, Networking and Information Technology (MIC-CNIT 2010)
Congress 2010 Global Congress on Communications, Networking and Information Technology (GC-CNIT 2010), 3-5 December 2010, Amman, Jordan
Pages 1-4
Topics Internet Security
Optimization of Computing Algorithms
ISSN 2227-331X
DOI
BibTeX @inproceedings{10CNIT2010,
title={A novel intrusion detection system by using intelligent data mining in WEKA environment},
author={Muamer Mohammed, and Norrozila Sulaiman, and Osama A. Muhsin},
booktitle={2010 Global Congress on Communications, Networking and Information Technology (GC-CNIT 2010)},
year={2010},
pages={1-4},
doi={}},
organization={Mosharaka for Research and Studies} }
Paper Views 46 Paper Views Rank 37/524
Paper Downloads 19 Paper Downloads Rank 216/524
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