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The internet has revolutionized the way we do business, service delivery and our social interaction. This shift has created new challenges of ensuring the security of information systems and their data. Intrusion detection, involved with identifying malicious activities, has been identified as one approach to help address these challenges. Artificial immune systems (AIS), inspired by the natural immune systems have been considered a possible technique to intrusion detection. However, a major breakthrough still remains elusive partly because of the naïve biological metaphor employed. In this…mehr

Produktbeschreibung
The internet has revolutionized the way we do business, service delivery and our social interaction. This shift has created new challenges of ensuring the security of information systems and their data. Intrusion detection, involved with identifying malicious activities, has been identified as one approach to help address these challenges. Artificial immune systems (AIS), inspired by the natural immune systems have been considered a possible technique to intrusion detection. However, a major breakthrough still remains elusive partly because of the naïve biological metaphor employed. In this book we explore some biological metaphors that would help improve the design of AIS-based systems. We particularly present some innate system concepts that would, improve and integrate with, existing adaptive system concepts, in development of efficient and effective AIS systems and which we believe should be important in inspiring future AISs. A network intrusion detection problem is used to analyze the feasibility of the approach. The analysis should help shed some light on this integration approach, and should be especially useful to professionals in network security and AIS researchers.
Autorenporträt
Richard Rimiru has been involved with bio-inspired computing since 2002, when he applied genetic algorithms for his MSc. work. He is currently working towards completion of his Ph.D. degree at the Central South University, Changsha, China. His main research areas are in bio-inspired computing, network security and data analysis methods.