TY - GEN
T1 - Improving network intrusion detection through soft computing and natural immunology
AU - Shahrestani, Seyed A.
PY - 2008
Y1 - 2008
N2 - While it is critical to have the mechanisms capable of preventing security violations, for most modern massively interconnected networks, complete prevention of security breaches is not practical. Intrusion detection can be regarded as an alternative, or as a compromise to this situation. This paper discusses the shortcomings of some of the more traditional approaches used in intrusion detection systems. An alternative view that may provide better security systems, based on adopting the design principles from the natural immune systems, is also presented. The advantages of approximate reasoning and soft computing to provide tolerance to imprecision are also considered.
AB - While it is critical to have the mechanisms capable of preventing security violations, for most modern massively interconnected networks, complete prevention of security breaches is not practical. Intrusion detection can be regarded as an alternative, or as a compromise to this situation. This paper discusses the shortcomings of some of the more traditional approaches used in intrusion detection systems. An alternative view that may provide better security systems, based on adopting the design principles from the natural immune systems, is also presented. The advantages of approximate reasoning and soft computing to provide tolerance to imprecision are also considered.
UR - http://handle.uws.edu.au:8081/1959.7/562902
M3 - Conference Paper
SN - 9789604740284
SP - 87
EP - 92
BT - Recent Advances in Applied Computer Science: Proceedings of the 8th WSEAS International Conference on Applied Computer Science (ACS 08), Venice, Italy, November 21-23, 2008
PB - WSEAS Press
T2 - International Conference on Applied Computer Science
Y2 - 21 November 2008
ER -