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AES算法优化及其在ARM上的实现 Abstract TheAESalgorithmiswidelyusedforencryptionanddecryptioninvariousapplications.However,itsefficiencycanbefurtherimprovedbyoptimizingcertainaspectsofthealgorithm.Inthispaper,weexploredifferentoptimizationtechniquesfortheAESalgorithmanddiscusstheirimpactonperformance.Additionally,weinvestigatetheimplementationoftheAESalgorithmonARMprocessors,whicharecommonlyusedinembeddedsystemsandmobiledevices.WeevaluatetheperformanceoftheoptimizedAESalgorithmonARMandcompareitwiththestandardimplementation. 1.Introduction TheAdvancedEncryptionStandard(AES)algorithmisasymmetricencryptionalgorithmthathasbecomethedefactostandardforsecurecommunicationanddataprotection.ItwasadoptedbytheNationalInstituteofStandardsandTechnology(NIST)in2001andhasbeenwidelyimplementedinbothsoftwareandhardware. WhiletheAESalgorithmprovidesahighlevelofsecurity,itcanbecomputationallyintensive,especiallywhenworkingwithlargeamountsofdata.Therefore,itisimportanttooptimizethealgorithmtoimproveitsefficiencyandreducetheprocessingtime. 2.OptimizingtheAESAlgorithm ThereareseveraltechniquesthatcanbeemployedtooptimizetheperformanceoftheAESalgorithm.Theseinclude: 2.1.DataAlignment OnewaytooptimizetheAESalgorithmistoensurethatthedataisalignedinmemory.Aligneddataaccesscanimprovememoryaccessefficiencyandreducethenumberofmemoryaccesscyclesrequiredfordataprocessing.Thiscanbeachievedbyusingcompiler-specificalignmentdirectivesorbymanuallyaligningthedatainmemory. 2.2.LoopUnrolling Loopunrollingisacompileroptimizationtechniquethataimstoreduceloopoverheadbyexecutingmultipleloopiterationsinparallel.ByunrollingtheloopintheAESalgorithm,wecanreducethenumberofloopiterationsandimprovetheoverallperformance. 2.3.Parallelization ParallelizationisanothertechniquethatcanbeusedtoimprovetheperformanceoftheAESalgorithm.Bydividingthedataortasksintosmallerindependentunits,wecanexecutetheminparallelonmultiplecoresorprocessors.Thiscansignificantlyspeeduptheprocessingtime,especiallyonmulti-coresystems. 3.ImplementationonARMProce