Madhusanka Liyanage – Page 2

Smart Grid 2.0 Security

January 21, 2024
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Utilization of a Blockchain-based Reputation Management System for Energy Trading in SmartGrid 2.0

January 21, 2024
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The futuristic energy grids comprise of predominantly renewable generation, to align with the sustainable development goals. This would require integration of renewable energy sources at different levels of the power system out of which, consumers turning into power producers, often referred to as prosumers is an important aspect. Prosumers who generate excess power beyond self-consumption […]

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 […]

Trust Management and Bad Data Reduction in Internet of Vehicles Using Blockchain and AI

November 19, 2023
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Blockchain offers cryptographically secure storage for recording transactions. However, one issue with blockchains is the problem of bad data and data reliability, where bad data refers to inaccurate, incomplete, or irrelevant data. This paper investigates how machine learning (ML) can be used to identify inaccurate sensor data added to a blockchain in Internet of Vehicles […]

Survey on Network Slicing for Internet of Things Realization in 5G Networks

November 17, 2023
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Internet of Things (IoT) is an emerging technology that makes people’s lives smart by conquering a plethora of diverse application and service areas. In near future, the fifthgeneration (5G) wireless networks provide the connectivity for this IoT ecosystem. It has been carefully designed to facilitatethe exponential growth in the IoT field. Network slicing is one […]

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 […]

A Comprehensive Analysis on Network Slicing for Smart Hospital Applications

November 17, 2023
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Network slicing (NS) is a utilitarian technology that enables heterogeneous smart use cases in Fifth Generation (5G) and beyond networks. Smart hospitals require NS to realize its applications with diverse network requirements, which can not facilitate via traditional networks in hospital environments. NS can be performed under different strategies based on dynamicity, ownership, and application. […]