tailieunhanh - Báo cáo hóa học: " Editorial Signal Processing Applications in Network Intrusion Detection Systems"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Signal Processing Applications in Network Intrusion Detection Systems | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2009 Article ID 527689 2 pages doi 2009 527689 Editorial Signal Processing Applications in Network Intrusion Detection Systems Chin-Tser Huang 1 Rocky K. C. Chang 2 and Polly Huang3 department of Computer Science and Engineering University of South Carolina Columbia SC29208 USA 2 Department of Computing The Hong Kong Polytechnic University HungHom Kowloon HongKongSAR China 3 Department of Electrical Engineering National Taiwan University Taipei 10617 Taiwan Correspondence should be addressed to Chin-Tser Huang huangct@ Received 25 February 2009 Accepted 25 February 2009 Copyright 2009 Chin-Tser Huang et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. In recent years the problem of network intrusion detection has attracted a lot of attention in the field of network security. Network intrusions carried out in various forms such as worms virus spamming Trojan horse and many others pose two major threats and damage on the victims. First the intruders probe gather and deduce sensitive information about target hosts in an effort to gain unauthorized access to them and their networks. Second the intruders inject unwanted packets into the target networks aiming to disrupt the normal communications and services provided by the target networks. It is therefore critically important to implement effective network intrusion detection systems NIDSs to monitor the network and detect the intrusions in a timely manner. Signal processing techniques have found applications in NIDS because of their ability of detecting novel intrusions and attacks which cannot be achieved by signature-based NIDS. Therefore the primary objective of an NIDS based on signal processing techniques is to profile the normal network traffic .