Thesis topic:

Explainable Misinformation Detection Across the Internet of Vehicles using AI and Blockchain

• Supervisor: Mubashar Iqbal
  • contact: mubashar.iqbal@ut.ee
• Misinformation involves disseminating false or inaccurate information. Detecting misinformation is crucial, especially in systems where real-time data is essential for decision-making, such as the Internet of Vehicles (IoV). IoV refers to a network of vehicles equipped with various sensors and communication technologies that enable them to connect and share data with infrastructure systems. IoV has applications in transportation, traffic management, and autonomous driving. In this work, explainable Artificial Intelligence (AI) focuses on creating machine learning models and algorithms to provide understandable and interpretable explanations for their decisions. This is important when dealing with critical systems like IoV, where trust and accountability are paramount. Blockchain is a decentralized and secure ledger technology that can record transactions or data. It is known for its immutability and transparency, making it suitable for enhancing trust in data systems.
• References:
  • Optimizing a MisInformation and MisBehavior (MIB) Attack Targeting Connected Cars by B. DeBruhl

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