Affiliation:
1. Computer Engineering Department, A. D. Patel Institute of Technology, Karamsad, Gujarat, India
Abstract
Intrusion Detection System (IDS) is a tool, or software application, that monitors network or system activity and detects malicious activity occurring. The protected evolution of the network must incorporate new threats and related approaches to avoid these threats. The key role of the IDS is to secure resources against the attacks. Several approaches, methods and algorithms of the intrusion detection help to detect a plethora of attacks. The main objective of this paper is to provide a complete system to detect intruding attacks using the Machine Learning technique which identifies the unknown attacks using the past information gained from the known attacks. The paper explains preprocessing techniques, model comparisons for training as well as testing, and evaluation technique.
Reference23 articles.
1. C. Chang and C. J. Lin, LIBSVM, “A Library for Support Vector Machines”, the use of LIBSVM, 2009.
2. Rung-Ching Chen, Kai-Fan Cheng and Chia-Fen Hsieh, “Using Rough Set and Support Vector Machine for Network Intrusion Detection”, International Journal of Network Security & Its Applications (IJNSA), Vol 1, No 1, 2009.
3. Need and study on existing Intrusion Detection System. Available at: http://www.sans.org/resources/idfaq.
4. Resources about packet capturing. Available at: http://www.netsearch.org/jpcap.
5. Salvatore Pontarelli, Giuseppe Bianchi, Simone Teofili. Traffic-aware Design of a High Speed FPGA Network Intrusion Detection System. Digital Object Identifier 10.1109/TC.2012.105, IEEE TRANSACTIONS ON COMPUTERS.
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