All Stories

  1. SecHFed: Achieving secure hierarchical federated learning against poisoning attacks without data assumptions
  2. B2PATCH: Designing Adversarial Patches to Manipulate Bounding Box Perception in Vehicular Attacks
  3. Rethinking Prefix-Based Steganography for Enhanced Security and Efficiency
  4. SpotAttack: Covering Spots on Surface to Attack LiDAR-Based Autonomous Driving Systems
  5. A Dependable and Efficient Decentralized Trust Management System Based on Consortium Blockchain for Intelligent Transportation Systems
  6. A Decision Theoretic Framework for Message Prioritization via Machine Learning Algorithm in Vehicular Networks
  7. FL2DP: Privacy-Preserving Federated Learning Via Differential Privacy for Artificial IoT
  8. An Efficient and Privacy-Preserving Information Reporting Framework for Traffic Monitoring in Vehicular Networks
  9. Silence is Golden: A Source Location Privacy Scheme for Wireless Sensor Networks Based on Silent Nodes
  10. Semi-automatic ladderisation: improving code security through rewriting and dependent types
  11. An Efficient Privacy-Preserving Scheme for Traffic Monitoring Services in Vehicular Networks
  12. Throughput Aware Authentication Prioritisation for Vehicular Communication Networks
  13. Phantom walkabouts: A customisable source location privacy aware routing protocol for wireless sensor networks
  14. A decision theoretic framework for selecting source location privacy aware routing protocols in wireless sensor networks
  15. Phantom walkabouts in wireless sensor networks
  16. Towards fake sources for source location privacy in wireless sensor networks with multiple sources
  17. Assessing the Performance of Phantom Routing on Source Location Privacy in Wireless Sensor Networks