Applying Genetic Algorithms in the Identification of Novel Behavior Patterns in Network Data Streams

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" Applying Genetic Algorithms in the Identification of Novel Behavior Patterns in Network Data Streams "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149847
Doc. No	:	ET21639
Main Entry	:	Todd A. Johnson
Title Proper	:	Applying Genetic Algorithms in the Identification of Novel Behavior Patterns in Network Data Streams
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The National Strategy to Secure Cyberspace encourages individuals and organizationsto identify vulnerabilities before a security breech occurs (PCIPB, 2003). Cabrera et alidentify the detection of novel attacks as one of the most elusive and significant problemsin intrusion detection (Cabrera, 2000). This sentiment is reiterated by other computersecurity researchers: (Endler, 1998), (Erbacher, 2002), (Ghosh, 1998) and (Lunt, 2000).A method to detect novel attacks has not been achieved because it implies thehopeless prerequisite of predicting the future. However, there has not been any researchthat attempts to automate the production of novel attacks. By automating theconstruction of novel attacks, the intrusion detection system (IDS) may be preemptivelyenhanced to recognize new attacks. The only difficulty is generating novel attacks.Motivated by the elusive and significant IDS vulnerability to unfamiliar attacks, thegoal of this research was to create an evolutionary algorithm (EA) capable of creatingoriginal attacks. The EA, known as the Automated Vulnerability Detector (AVD), wasdesigned to be capable..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL44816.pdf
Title and statement of responsibility and	:	Applying Genetic Algorithms in the Identification of Novel Behavior Patterns in Network Data Streams [Thesis]