Kerberos是一个成熟的产品，广泛应用于金融、邮电、保险等行业。但仍存在一些隐患，例如：重放攻击、密码猜测、会话中选择明文攻击等等。该文针对Kerberos系统登录时可能遭到密码猜测，即所谓的离线字典攻击(Off line Dictionary Atta...Kerberos是一个成熟的产品，广泛应用于金融、邮电、保险等行业。但仍存在一些隐患，例如：重放攻击、密码猜测、会话中选择明文攻击等等。该文针对Kerberos系统登录时可能遭到密码猜测，即所谓的离线字典攻击(Off line Dictionary Attack)的问题，提出一种基于椭圆曲线的零知识证明方法对系统进行改进，并给出相应的协议。展开更多
Existing location privacy- preserving methods, without a trusted third party, cannot resist conspiracy attacks and active attacks. This paper proposes a novel solution for location based service （LBS） in vehicular a...Existing location privacy- preserving methods, without a trusted third party, cannot resist conspiracy attacks and active attacks. This paper proposes a novel solution for location based service （LBS） in vehicular ad hoc network （VANET）. Firstly, the relationship among anonymity degree, expected company area and vehicle density is discussed. Then, a companion set F is set up by k neighbor vehicles. Based on secure multi-party computation, each vehicle in V can compute the centroid, not revealing its location to each other. The centroid as a cloaking location is sent to LBS provider （P） and P returns a point of interest （POI）. Due to a distributed secret sharing structure, P cannot obtain the positions of non-complicity vehicles by colluding with multiple internal vehicles. To detect fake data from dishonest vehicles, zero knowledge proof is adopted. Comparing with other related methods, our solution can resist passive and active attacks from internal and external nodes. It provides strong privacy protection for LBS in VANET.展开更多
文摘Kerberos是一个成熟的产品，广泛应用于金融、邮电、保险等行业。但仍存在一些隐患，例如：重放攻击、密码猜测、会话中选择明文攻击等等。该文针对Kerberos系统登录时可能遭到密码猜测，即所谓的离线字典攻击(Off line Dictionary Attack)的问题，提出一种基于椭圆曲线的零知识证明方法对系统进行改进，并给出相应的协议。
基金the National Natural Science Foundation of China，by the Natural Science Foundation of Anhui Province，by the Specialized Research Fund for the Doctoral Program of Higher Education of China，the Fundamental Research Funds for the Central Universities
文摘Existing location privacy- preserving methods, without a trusted third party, cannot resist conspiracy attacks and active attacks. This paper proposes a novel solution for location based service （LBS） in vehicular ad hoc network （VANET）. Firstly, the relationship among anonymity degree, expected company area and vehicle density is discussed. Then, a companion set F is set up by k neighbor vehicles. Based on secure multi-party computation, each vehicle in V can compute the centroid, not revealing its location to each other. The centroid as a cloaking location is sent to LBS provider （P） and P returns a point of interest （POI）. Due to a distributed secret sharing structure, P cannot obtain the positions of non-complicity vehicles by colluding with multiple internal vehicles. To detect fake data from dishonest vehicles, zero knowledge proof is adopted. Comparing with other related methods, our solution can resist passive and active attacks from internal and external nodes. It provides strong privacy protection for LBS in VANET.
