Anomaly Detection Framework for Securing Next Generation Networks of Platoons of Autonomous Vehicles in a Vehicle-to-Everything System

Author:

Nazat Sazid1ORCID,Abdallah Mustafa1ORCID

Affiliation:

1. Purdue School of Engineering and Technology, Indiana University-Purdue University Indianapolis, USA

Publisher

ACM

Reference35 articles.

1. Mustafa Abdallah , Wo Jae Lee , Nithin Raghunathan , Charilaos Mousoulis , John  W Sutherland , and Saurabh Bagchi . 2021. Anomaly detection through transfer learning in agriculture and manufacturing IoT systems. arXiv preprint arXiv:2102.05814 ( 2021 ). Mustafa Abdallah, Wo Jae Lee, Nithin Raghunathan, Charilaos Mousoulis, John W Sutherland, and Saurabh Bagchi. 2021. Anomaly detection through transfer learning in agriculture and manufacturing IoT systems. arXiv preprint arXiv:2102.05814 (2021).

2. TASHAROK: Using Mechanism Design for Enhancing Security Resource Allocation in Interdependent Systems

3. An Adaptive Switched Control Approach to Heterogeneous Platooning With Intervehicle Communication Losses

4. Aiman Al-Sabaawi , Khamael Al-Dulaimi , Ernest Foo , and Mamoun Alazab . 2021. Addressing malware attacks on connected and autonomous vehicles: recent techniques and challenges . In Malware Analysis Using Artificial Intelligence and Deep Learning . Springer , 97–119. Aiman Al-Sabaawi, Khamael Al-Dulaimi, Ernest Foo, and Mamoun Alazab. 2021. Addressing malware attacks on connected and autonomous vehicles: recent techniques and challenges. In Malware Analysis Using Artificial Intelligence and Deep Learning. Springer, 97–119.

5. Efficient Conditional Anonymity With Message Integrity and Authentication in a Vehicular Ad-Hoc Network

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