基于计算机免疫的入侵检测技术研究

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1、北京交通大学硕士学位论文基于计算机免疫的入侵检测技术研究姓名：解功申请学位级别：硕士专业：信号与信息处理指导教师：梁满贵20080601ABSTRACTABSTRACT：Alongwiththecomputernetworkdailypopularizationandtheapplication，thenetworkinformationsecurityalsoismoreandmoreattended．Asthesecond—generationnetworksecuritytechnology,intrusiondetectiontechnologyhasbecomeakeyres

2、earchinrecentyears．Immune—basedintrusiondetectionCanexplorenaturalimmunelogicaltheories，mechanismsandprinciplesfordetectingandreactingtointrusions．Alsoitcalldetectunknownattackmodesaccordingtoimmatureinformation，whichhasgreatactualsignificance．SeveralaspectsWereprobedintoasfollows．Firstly,ontheb

3、asisofstudyingtheworkingmechanismofartificialimmunesystemcompletelythepapermakessomeimprovementonexistingartificialimmunemodel．Themodificationincludesdesignofdetector,CO-stimulation，mutationandevolutionofmemorystrings，makingtheartificialimmunemodeleasiertorealize．Thepaperalsodevisesanetwork-base

4、dintrusiondetectionsystemaccordingtotheimprovedmodel．TheIDStakesnetworkpacketsasdetectingdataresourceandhastheadvantagesofdetectingunknownintrusion，distributeddisposition．Secondly,thepaperresearchedonthedetectorgeneratingalgorithms，whichisthekeyalgorithminthesystem．Bytheanalysesontheexistingdete

5、ctorgeneratingalgorithms，weachievedtheimprovementofthelineartimedetectorgeneratingalgorithm，whichWaswidelyusedatpresent．Theefficiencyofthelinearalgorithmwasimprovedbyeliminatingthereluctantdetectors，andatthesametimetheimprovedalgorithmWasensuredtocoverthenonselfspaceasmuchaspossible．Afterwards，a

6、nalyzingthereasonofdetectingholesonthebasisofgeneratingalgorithms．Thethesisproposedakindofnewalgorithmsoncomputingdetectionholesandsummarizedthedetectorgeneratingalgorithms，atthesametime，pointingoutthequestionsexistinginthealgorithm．Finally,theinitializationdetectorsetscaleandthefailureprobabili

7、tiesofdetectorgeneratingalgorithmhavebeentestedandthetestresultsindicatethattheimprovedalgorithmenhancedthematurityandthereliabilitycontrastingwiththeformeralgorithm．Anewwaywasintroducedtothefieldsofcomputersafetysystemthrou