174 citations · 501 across the 12 of their papers we have counts for
12 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…
Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach
Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman +2
Security concerns for IoT applications have been alarming because of their widespread use in different enterprise systems. The potential threats to these applications are constantl…
Enhancing AES Using Chaos and Logistic Map-Based Key Generation Technique for Securing IoT-Based Smart Home
Ziaur Rahman, Xun Yi, Mustain Billah +2
The Internet of Things (IoT) has brought new ways for humans and machines to communicate with each other over the internet. Though sensor-driven devices have largely eased our ever…
A Systematic Literature Review on Blockchain Enabled Federated Learning Framework for Internet of Vehicles
Mustain Billah, Sk. Tanzir Mehedi, Adnan Anwar +2
While the convergence of Artificial Intelligence (AI) techniques with improved information technology systems ensured enormous benefits to the Internet of Vehicles (IoVs) systems,…
Emerging Trends of Recently Published Datasets for Intrusion Detection Systems (IDS): A Survey
Rishabh Jindal, Adnan Anwar
With the ubiquitous nature of information technology solutions that facilitate communication in the modern world, cyber attacks are increasing in volume and becoming more sophistic…