Trace malicious source to guarantee cyber security for mass monitor critical infrastructure

The proposed traceback scheme does not take into account the trust of node which leads to the low effectiveness. A trust-aware probability marking (TAPM) traceback scheme is proposed to locate malicious source quickly. In TAPM scheme, the node is marked with difference marking probability according to its trust which is deduced by trust evaluation. The high marking probability for low trust node can locate malicious source quickly, and the low marking probability for high trust node can reduce the number of marking to improve the network lifetime, so the security and the network lifetime can be improved in TAPM scheme

A Trust-Based Model for Security Cooperating in Vehicular Cloud Computing

VCC is a computing paradigm which consists of vehicles cooperating with each other to realize a lot of practical applications, such as delivering packages. Security cooperation is a fundamental research topic in Vehicular Cloud Computing (VCC). Because of the existence of malicious vehicles, the security cooperation has become a challenging issue in VCC. In this paper, a trust-based model for security cooperating, named DBTEC, is proposed to promote vehicles’ security cooperation in VCC. DBTEC combines the indirect trust estimation in Public board and the direct trust estimation in Private board to compute the trust value of vehicles when choosing cooperative partners; a trustworthy cooperation path generating scheme is proposed to ensure the safety of cooperation and increase the cooperation completion rates in VCC. Extensive experiments show that our scheme improves the overall cooperation completion rates by 6~7%