Machine Learning-Driven Optimization for Intrusion Detection in Smart Vehicular Networks

Security and privacy preservation in fog-based crowd sensing on the internet of vehicles

(2019) Gang Sun et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A New Spectrum Management Scheme for Road Safety in Smart Cities

(2018) Ayoub Alsarhan et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

A survey on Intrusion Detection Systems and Honeypot based proactive security mechanisms in VANETs and VANET Cloud

(2018) Sparsh Sharma et al.   Vehicular Communications

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

(2017) Seyed Ahmad Soleymani et al.   IEEE Access

Host-Based Intrusion Detection for VANETs: A Statistical Approach to Rogue Node Detection

(2016) Kamran Zaidi et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

RPRep: A Robust and Privacy-Preserving Reputation Management Scheme for Pseudonym-Enabled VANETs

(2016) Jin Wang et al.   International Journal of Distributed Sensor Networks

Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security

(2016) Min-Joo Kang et al.   PLoS One

VANET-cloud: a generic cloud computing model for vehicular Ad Hoc networks

(2015) Salim Bitam et al.   IEEE WIRELESS COMMUNICATIONS

An Efficient and Lightweight Intrusion Detection Mechanism for Service-Oriented Vehicular Networks

(2014) Hichem Sedjelmaci et al.   IEEE Internet of Things Journal

A social network approach to trust management in VANETs

(2012) Zhen Huang et al.   Peer-to-Peer Networking and Applications

A Multifaceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad Hoc Vehicular Networks

(2010) Umar Farooq Minhas et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE