45 citations · 97 across the 10 of their papers we have counts for
11 papers
FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination
Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda +4
With the growing concern about the security and privacy of smart grid systems, cyberattacks on critical power grid components, such as state estimation, have proven to be one of th…
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination
Muhammad Akbar Husnoo, Adnan Anwar, Haftu Tasew Reda +4
With growing security and privacy concerns in the Smart Grid domain, intrusion detection on critical energy infrastructure has become a high priority in recent years. To remedy the…
Digital Privacy Under Attack: Challenges and Enablers
Baobao Song, Shiva Raj Pokhrel, Mengyue Deng +3
We present a comprehensive analysis of privacy attacks and countermeasures in data-driven systems. We systematically categorize attacks targeting three domains: anonymous data (lin…
A Secure Federated Learning Framework for Residential Short Term Load Forecasting
Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh +3
Smart meter measurements, though critical for accurate demand forecasting, face several drawbacks including consumers' privacy, data breach issues, to name a few. Recent literature…
Towards Privacy-Preserving Neural Architecture Search
Fuyi Wang, Leo Yu Zhang, Lei Pan +2
Machine learning promotes the continuous development of signal processing in various fields, including network traffic monitoring, EEG classification, face identification, and many…
Weak-Key Analysis for BIKE Post-Quantum Key Encapsulation Mechanism
Mohammad Reza Nosouhi, Syed W. Shah, Lei Pan +4
The evolution of quantum computers poses a serious threat to contemporary public-key encryption (PKE) schemes. To address this impending issue, the National Institute of Standards…
FedREP: Towards Horizontal Federated Load Forecasting for Retail Energy Providers
Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh +3
As Smart Meters are collecting and transmitting household energy consumption data to Retail Energy Providers (REP), the main challenge is to ensure the effective use of fine-graine…
False Data Injection Threats in Active Distribution Systems: A Comprehensive Survey
Muhammad Akbar Husnoo, Adnan Anwar, Nasser Hosseinzadeh +3
With the proliferation of smart devices and revolutions in communications, electrical distribution systems are gradually shifting from passive, manually-operated and inflexible one…
A Bytecode-based Approach for Smart Contract Classification
Chaochen Shi, Yong Xiang, Robin Ram Mohan Doss +3
With the development of blockchain technologies, the number of smart contracts deployed on blockchain platforms is growing exponentially, which makes it difficult for users to find…
Towards Decentralized IoT Updates Delivery Leveraging Blockchain and Zero-Knowledge Proofs
Edoardo Puggioni, Arash Shaghaghi, Robin Doss +1
We propose CrowdPatching, a blockchain-based decentralized protocol, allowing Internet of Things (IoT) manufacturers to delegate the delivery of software updates to self-interested…
Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey
Purathani Praitheeshan, Lei Pan, Jiangshan Yu +2
Smart contracts are software programs featuring both traditional applications and distributed data storage on blockchains. Ethereum is a prominent blockchain platform with the supp…