Research Area: AI Security and Privacy

Rec-Def: A Recommendation-based Defence Mechanism for Privacy Preservation in Federated Learning Systems

November 19, 2023
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An emergence of attention and regulations on consumer privacy can be observed over the recent years with the ubiquitous availability of IoT systems handling personal data. Federated Learning (FL) arises as a privacy-preserved Machine Learning (ML) technique where data can be kept private within these devices without transmitting to third parties. Yet, many privacy attacks […]

From Opacity to Clarity: Leveraging XAI for Robust Network Traffic Classification

November 19, 2023
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A wide adoption of Artificial Intelligence (AI) can be observed in recent years over networking to provide zero-touch, full autonomy of services towards the next generation Beyond 5G (B5G)/6G. However, AI-driven attacks on these services are a major concern in reaching the full potential of this future vision. Identifying how resilient the AI models are […]

Privacy-preserved Collaborative Federated Learning Platform for Industrial Internet of Things

November 19, 2023
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Federated learning (FL) is an intriguing approach to privacy-preserving collaborative learning. Decentralised FL is achieving increased favour for investigation due to the mitigation of vulnerability for a single point of failure and more controllability for end users over their models. However, many existing decentralised FL systems face limitations, such as privacy concerns, latency in aggregation, […]

FL-TIA: Novel Time Inference Attacks on Federated Learning

November 19, 2023
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Federated Learning (FL) is an emerging privacy-preserved distributed Machine Learning (ML) technique where multiple clients can contribute to training an ML model without sharing private data. Even though FL offers a certain level of privacy by design, recent works show that FL is vulnerable to numerous privacy attacks. One of the key features of FL […]

A Federated Learning Approach for Improving Security in Network Slicing

November 17, 2023
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Network Slicing (NS) is a predominant technology in future telecommunication networks, including Fifth Generation (5G), which supports the realization of heterogeneous applications and services. It allows the allocation of a dedicated logical network slice of the physical network to each application. Security is one of the paramount challenges in an NS ecosystem. Several technologies, including […]

Service Migration Authentication Protocol for MEC

December 7, 2022
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Multi-Access Edge Computing (MEC) is a novel edge computing paradigm that enhances the access level capacity of mobile networks by shifting the serviceable Data center infrastructure proximate to the end devices. With this proximate placement and service provisioning, migration of a service from one edge enabled gNodeB (gNB) to another is intrinsic to maintain the […]

A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions

October 10, 2022
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Massive developments in mobile wireless telecommunication networks have been made during the last few decades. At present, mobile users are getting familiar with the latest 5G networks, and the discussion for the next generation of Beyond 5G (B5G)/6G networks has already been initiated. It is expected that B5G/6G will push the existing network capabilities to […]

An improved and provably secure symmetric-key based 5G-AKA Protocol

September 12, 2022
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One of the primary authentication mechanisms defined for the 5G system is the 5G-Authentication and Key Agreement (5G-AKA) protocol. It is set to be used in the next generation of mobile communications but has several serious flaws such as privacy issues, vulnerability to traceability attacks, and has de-synchronization problem. To deal with these issues, An Braeken presented […]

A survey on the convergence of edge computing and AI for UAVs: Opportunities and challenges

September 1, 2022
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The latest 5G mobile networks have enabled many exciting Internet of Things (IoT) applications that employ unmanned aerial vehicles (UAVs/drones). The success of most UAV-based IoT applications is heavily dependent on artificial intelligence (AI) technologies, for instance, computer vision and path planning. These AI methods must process data and provide decisions while ensuring low latency […]

An EAP-Based Mutual Authentication Protocol for WLAN-Connected IoT Devices

July 29, 2022
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Several symmetric and asymmetric encryption based authentication protocols have been developed for the wireless local area networks (WLANs). However, recent findings reveal that these protocols are either vulnerable to numerous attacks or computationally expensive. Considering the demerits of these protocols and the necessity to provide enhanced security, a lightweight extensible authentication protocol based authentication protocol […]