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Muhammad Akbar Husnoo

3 papers hereh-index 6280 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR3

identity via Semantic Scholar / OpenAlex

most citedFeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination

1 citations · 1 across the 1 of their papers we have counts for

collaborators

3 papers

cs.CR2024

Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach

Muhammad Akbar Husnoo, Adnan Anwar, Md Enamul Haque +1

The increasing security and privacy concerns in the Smart Grid sector have led to a significant demand for robust intrusion detection systems within critical smart grid infrastruct…

cs.CR2023

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…

cs.CR2023★ 1 cited

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…

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