5 papers · 1 filter
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…
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…
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…