495 citations · 611 across the 24 of their papers we have counts for
6 papers · 1 filter
X-NegoBox: An Explainable Privacy-Budget Negotiation Framework for Secure Peer-to-Peer Energy Data Exchange
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +1
The decentralization of modern energy systems is transforming consumers into prosumers who continuously exchange data with aggregators, peers, and market operators. While such data…
Adaptive Quantum-Safe Cryptography for 6G Vehicular Networks via Context-Aware Optimization
Poushali Sengupta, Mayank Raikwar, Sabita Maharjan +2
Powerful quantum computers in the future may be able to break the security used for communication between vehicles and other devices (Vehicle-to-Everything, or V2X). New security m…
Privacy-Utility-Fairness: A Balanced Approach to Vehicular-Traffic Management System
Poushali Sengupta, Sabita Maharjan, frank Eliassen +1
Location-based vehicular traffic management faces significant challenges in protecting sensitive geographical data while maintaining utility for traffic management and fairness acr…
Data Sharing, Privacy and Security Considerations in the Energy Sector: A Review from Technical Landscape to Regulatory Specifications
Shiliang Zhang, Sabita Maharjan, Lee Andrew Bygrave +1
Decarbonization, decentralization and digitalization are the three key elements driving the twin energy transition. The energy system is evolving to a more data driven ecosystem, l…
Deep Reinforcement Learning and Permissioned Blockchain for Content Caching in Vehicular Edge Computing and Networks
Yueyue Dai, Du Xu, Ke Zhang +2
Vehicular Edge Computing (VEC) is a promising paradigm to enable huge amount of data and multimedia content to be cached in proximity to vehicles. However, high mobility of vehicle…
Deep Learning for Secure Mobile Edge Computing
Yuanfang Chen, Yan Zhang, Sabita Maharjan
Mobile edge computing (MEC) is a promising approach for enabling cloud-computing capabilities at the edge of cellular networks. Nonetheless, security is becoming an increasingly im…