一种基于攻击树的VANET位置隐私安全风险评估的新方法  

Novel attack tree based risk assessment approach for location privacy preservation in VANETs

作　　者：任丹丹[1] 杜素果[1] 

机构地区：[1]上海交通大学安泰经济与管理学院管理科学与工程系,上海200030

出　　处：《计算机应用研究》2011年第2期728-732,共5页Application Research of Computers

基　　金：国家自然科学基金资助项目(70971086)

摘　　要：为了系统分析评估车载自组织网络中位置隐私所面临的风险,建立了以位置隐私泄露为攻击目标的攻击树模型方法,在攻击树的基础上采用布尔代数法求出各种可能的攻击序列,并通过对叶子节点进行多属性赋值最后计算出了系统总的风险值和各攻击序列发生的概率,由此为决策者采取相应的位置隐私保护措施提供依据。To comprehensively analyze and evaluate the location privacy risk in VANETs,this paper established an attack tree model in which location privacy leakage was chosen as its attack goal.While based on the attack tree,it found all possible attack sequences by using Boolean algebra,and adopted the multi-attribute utility theory to calculate the system＇s total risk value as well as the probabilities of each attack sequence.According to the result of calculation it can provide support for decision makers to make corresponding protection measures of location privacy.

关 键 词：位置隐私 攻击树 风险评估 攻击序列 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]