A novel Intrusion Detection System by using intelligent data mining in WEKA environment

• 主要な著者: Mohammed, Muamer N., Norrozila, Sulaiman, Abdulkarim Muhsin, Osama
• フォーマット: 論文
• 言語: English
• 出版事項: Elsevier 2011
• 主題: QA76 Computer software
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/24995/1/A%20novel%20Intrusion%20Detection%20System%20by%20using%20intelligent%20data%20mining%20in%20WEKA%20environment.pdf; http://umpir.ump.edu.my/id/eprint/24995/; https://doi.org/10.1016/j.procs.2010.12.198; https://doi.org/10.1016/j.procs.2010.12.198

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 taxon...