An Immunological Model of Distributed Detection and Its Application to Computer Security

An Immunological Model of Distributed Detection and Its Application to Computer Security (1999)

by Steven Andrew Hofmeyr

Citations:

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Datum	Value	Source
TITLE	An Immunological Model of Distributed Detection and Its Application to Computer Security	user correction - Legacy Corrections
AUTHOR NAME	Steven Andrew Hofmeyr	user correction
AUTHOR AFFIL	The University of New Mexico	user correction
ABSTRACT	This dissertation explores an immunological model of distributed detection, called negative detection, and studies its performance in the domain of intrusion detection on computer networks. The goal of the detection system is to distinguish between illegitimate behaviour (nonself ), and legitimate behaviour (self ). The detection system consists of sets of negative detectors that detect instances of nonself; these detectors are distributed across multiple locations. The negative detection model was developed previously; this research extends that previous work in several ways. Firstly, analyses are derived for the negative detection model. In particular, a framework for explicitly incorporating distribution is developed, and is used to demonstrate that negative detection is both scalable and robust. Furthermore, it is shown that any scalable distributed detection system that requires communication (memory sharing) is always less robust than a system that does not require communication...	user correction - Legacy Corrections
YEAR	1999	user correction - Legacy Corrections
CITATIONS	82 found	ParsCit 1.0