Artificial Intelligence (AI) and Blockchain-Enabled Secure and Privacy-Preserving Air and Ground Smart Vehicular Networks (SVNs) - Call for Papers

AIBESVN: Artificial Intelligence (AI) and Blockchain-Enabled Secure and Privacy-Preserving Air and Ground Smart Vehicular Networks (SVNs)

Call for Papers

 

The workshop invites high-quality research papers in security and privacy preservation of air and ground Smart Vehicular Networks (SVNs) using state-of-the-art technologies, such as AI and blockchain. Works on UAVs/Drones, Intelligent Transportations Systems (ITS), Internet of Vehicles (IoV), and VANETs, which focus on developing novel authentication mechanisms, lightweight security frameworks, low computation schemes, etc., based on AI and blockchain techniques, are highly encouraged for submission in this workshop. The workshop scope includes the following (but not limited to) topics: Unsupervised and supervised learning strategies for securing air and ground SVNs.

Following the success of the first workshop, the 2^nd AIBESVN Workshop will be held as an virtual workshop in conjunction with IEEE INFOCOM 2022.

Topics of interest for this workshop include but are not limited to the following:

• Responsible data-driven AI for air and ground vehicle security.
• Cyberattack classification and detection strategies for air and ground SVNs using advanced AI techniques.
• AI-enabled intrusion detection strategies for the security of air and ground SVNs.
• Novel AI, machine learning, and deep learning-based anomaly detection schemes for air and ground vehicular network security.
• Reinforcement learning-based security schemes for air and ground SVNs.
• Transfer learning and Reinforcement learning for VANET and UAV-Network (UAV-NET) security.
• AI-based VANET and UAV-NET security schemes against adversarial machine learning attacks.
• Generative Adversarial Network (GAN) inspired intrusion detection schemes for VANETs and UAV-NETs.
• Privacy-preserving machine learning techniques for air and ground SVNs.
• FPGA prototyping of AI-based VANET and UAV-NET security strategies.
• AI-based security, encryption, and privacy for intelligent air and ground vehicles.
• Blockchain-based trust management schemes for air and ground SVNs.
• Lightweight and privacy-preserving consensus mechanism for securing blockchain-based air and ground SVNs.
• Blockchain-based authentication schemes for air and ground SVNs.
• Novel blockchain-based air and ground SVN frameworks.
• AI and blockchain-enabled security and privacy-preserving schemes for air and ground SVN.