A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing

作者：Soleymani Seyed Ahmad; Abdullah Abdul Hanan; Zareei Mahdi; Anisi Mohammad Hossein^*; Vargas Rosales Cesar; Khan Muhammad Khurram; Goudarzi Shidrokh

来源：IEEE Access, 2017, 5: 15619-15629.

DOI：10.1109/ACCESS.2017.2733225

• Trust
• plausibility
• experience
• fog node
• fuzzy logic
• VANET

In vehicular ad hoc networks (VANETs), trust establishment among vehicles is important to secure integrity and reliability of applications. In general, trust and reliability help vehicles to collect correct and credible information from surrounding vehicles. On top of that, a secure trust model can deal with uncertainties and risk taking from unreliable information in vehicular environments. However, inaccurate, incomplete, and imprecise information collected by vehicles as well as movable/immovable obstacles have interrupting effects on VANET. In this paper, a fuzzy trust model based on experience and plausibility is proposed to secure the vehicular network. The proposed trust model executes a series of security checks to ensure the correctness of the information received from authorized vehicles. Moreover, fog nodes are adopted as a facility to evaluate the level of accuracy of event's location. The analyses show that the proposed solution not only detects malicious attackers and faulty nodes, but also overcomes the uncertainty and imprecision of data in vehicular networks in both line of sight and non-line of sight environments

• 出版日期2017