All Outputs (4)

DEP2SA: A Decentralized Efficient Privacy-Preserving and Selective Aggregation Scheme in Advanced Metering Infrastructure (2015)
Journal Article
Fan, Z., Mustafa, M. A., Zhang, N., & Kalogridis, G. (2015). DEP2SA: A Decentralized Efficient Privacy-Preserving and Selective Aggregation Scheme in Advanced Metering Infrastructure. IEEE Access, 3, 2828-2846. https://doi.org/10.1109/ACCESS.2015.2506198

This paper proposes a novel solution, called a decentralized, efficient, privacy-preserving, and selective aggregation (DEP2SA) scheme, designed to support secure and user privacy-preserving data collection in the advanced metering infrastructure. DE... Read More about DEP2SA: A Decentralized Efficient Privacy-Preserving and Selective Aggregation Scheme in Advanced Metering Infrastructure.

Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids (2015)
Journal Article
Fan. (2015). Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids. IEEE Transactions on Industrial Informatics, 1198 - 1209. https://doi.org/10.1109/TII.2015.2475695

This paper discusses malicious false data injection attacks on the wide area measurement and monitoring system in smart grids. Firstly, methods of constructing sparse stealth attacks are developed for two typical scenarios: random attacks in which ar... Read More about Sparse Malicious False Data Injection Attacks and Defense Mechanisms in Smart Grids.

Rule Induction-Based Knowledge Discovery for Energy Efficiency (2015)
Journal Article
Fan. (2015). Rule Induction-Based Knowledge Discovery for Energy Efficiency. IEEE Access, 1423 - 1436. https://doi.org/10.1109/ACCESS.2015.2472355

Rule induction is a practical approach to knowledge discovery. Provided that a problem is developed, rule induction is able to return the knowledge that addresses the goal of this problem as if-then rules. The primary goals of knowledge discovery are... Read More about Rule Induction-Based Knowledge Discovery for Energy Efficiency.

A Game Theoretic Optimization Framework for Home Demand Management Incorporating Local Energy Resources (2015)
Journal Article
Fan. (2015). A Game Theoretic Optimization Framework for Home Demand Management Incorporating Local Energy Resources. IEEE Transactions on Industrial Informatics, 353 - 362. https://doi.org/10.1109/TII.2015.2390035

Facilitated by advanced ICT infrastructure and optimization techniques, smart grid has the potential to bring significant benefits to the energy consumption management. This paper presents a game theoretic consumption scheduling framework based on th... Read More about A Game Theoretic Optimization Framework for Home Demand Management Incorporating Local Energy Resources.