Socialengineeringattacksarebecomingseriousthreatstocloudservice.Socialengineeringattackers couldgetCloudservicecustomprivacyinformationorattackvirtualmachineimagesdirectly.Existing securityanalysisinstrumentsaredifficulttoquantifythesocialengineeringattackrisk,resultingin invaliddefenseguidanceforsocialengineeringattacks.Inthisarticle,ariskanalysisframeworkfor socialengineeringattackisproposedbasedonuserprofiling.Theframeworkprovidesapathwayto quantitativelycalculatethepossibilityofbeingcompromisedbysocialengineeringattackandpotential loss,soastoeffectivelycomplementcurrentsecurityassessmentinstruments.Thefrequencyofrelated operationsisusedtoprofileandgroupusersforrespectiveriskcalculation,andotherfeaturessuch assecurityawarenessandcapabilityofprotectionmechanismarealsoconsidered.Finally,examples aregiventoillustratehowtousetheframeworkinactualscenarioandapplyittosecurityassessment. KEywORdS Authority, Cloud Security, Network Security Assessment, Operating Frequency, Risk Analysis, Social Engineering, User Profiling, Vulnerability

中文翻译：

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基于用户概要分析的社会工程攻击风险分析框架

还考虑了其​​他功能，例如安全意识和保护机制的能力。最后，给出了示例以说明如何使用实际情况下的框架，并将其应用于安全评估。KEywORdS机构，云安全，网络安全评估，运行频率，风险分析，社会工程，用户配置文件，漏洞