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The Intrusion Detection System Research Based On Adaptive Genetic Algorithm

Posted on:2013-06-19Degree:MasterType:Thesis
Country:ChinaCandidate:K AnFull Text:PDF
GTID:2268330401466067Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Intrusion detection system as a kind of positive safe protection technology,provides for internal and external attack and attack the incorrect operation of real-timeprotection, in network system harm intercept and response before the invasion.Therefore considered firewall second word after the security gate, in does not affect theperformance of network situations of network monitoring. It through perform thefollowing tasks to realize: monitor, analyze customer and system activities; Systemstructure and weakness of auditing, Identify reflect the known attack pattern of actiityand make relevant alarm, A statistical analysis of the abnormal behavior patterns,Evaluation system and the data file of important integrity, The operating system audittracking management, and to identify users violating the security strategy behavior.Genetic algorithm is a random search method, which is from biological evolution,the so-called "survival of the fittest, survival of the fittest survive rule and theestablishment of. It can be on the structure object directly, without such as derivationand the continuity of function and limit; therefore, the genetic algorithm of concealmentand global searching ability is stronger; genetic automatically receive and guide optimalsearch space, the search direction is adaptive, without specific rules.Poor adaptability, false positive rate and false negative rate high is the mostcommon intrusion detection system, in view of this phenomenon, this paper presents agenetic algorithm based on adaptive intrusion detection system, and the experimentproves the validity of the. Trial discussion and improved fitness function in geneticalgorithm to determine the species identified, crossover operator, mutation operator, thecore issues, and the crossover probability and mutation probability were focused on theimprovement of intrusion detection system, the repeated simulations, can be seen thatthe improved genetic algorithm applied in intrusion detection system can effectivelyimprove the IDS detection rate.
Keywords/Search Tags:Adaptive Genetic Algorithm, Intrusion Detection, Crossover Probability, Mutation Probability, Fitness Function
PDF Full Text Request
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