面向深度殘差網(wǎng)絡(luò)的移動目標(biāo)防御決策算法研究
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中圖分類號：TN918.1 文獻(xiàn)標(biāo)識碼：A文章編號：1009-3583（2025）-0098-05
Research on Mobile Target Defense Decision Algorithm Based on Deep Residual Network
CAI Jie-feng
（School of Information Engineering，Minnan University of Science and Technology， Quanzhou 36220o， China）
Abstract：Inthurretnewoksecuritycndefeeproeseeishenmatitisastttckddilttdefend Inordertorealizemovingtargetdefenseandenhancenetworksecurityamovingtargetdefensedecision-makingalgorithmontedto deepresidualetworkisroposed，icharks tecaractesticampledataschasobilargettaffchracteristicndetwork systemlogsateiputvectorofthedepresidualnetworkndbtains teoutputvectorafterthtreeresidualfullyonectedlaes ofthedepresidualnetworkrainandleanthinputvectorAccording toteobtainedoutputvector，theoutputlaersolvesthemoving targetbehaviorprobabilityvalueofthe movingtarget trainingsampledata.Underthisprobabilityvaue，theSoftmax layerealizeste clasificationofanoalmoving argetsandnoalmovingtargetsAccordingtothejectivefunctionsofboththeoffnsiveandde fensivesidesinthetime game，theoptimalmulti-stageMarkowtime gameresultissolved.Theexperimentalresultsshowthathealgorithmcanefectivelyidentifyteseuritystateofthemovingtargetandobtainthedefensedecisionofthemoving argetwiththegreatest benefit from the game.
Keywords：depresidualnetwork;mobiletargetdefense;decisionalgorith;timeae;Mrkowdecision;ofensiveandefensiveconfrontation
隨著網(wǎng)絡(luò)的普及和發(fā)展，互聯(lián)網(wǎng)信息系統(tǒng)網(wǎng)絡(luò)安全成為現(xiàn)今社會信息系統(tǒng)發(fā)展需要攻克的難題[1-3]。（剩余6930字）