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researcher

Mohanad Sarhan

2 papers here

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

author position
  • first author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CR1
  • cs.NI1

identity via Semantic Scholar / OpenAlex

most citedHBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection

7 citations · 7 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CR2022★ 7 cited

HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection

Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy +1

The continuous strengthening of the security posture of IoT ecosystems is vital due to the increasing number of interconnected devices and the volume of sensitive data shared. The…

cs.NI2020

NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems

Mohanad Sarhan, Siamak Layeghy, Nour Moustafa +1

Machine Learning (ML)-based Network Intrusion Detection Systems (NIDSs) have proven to become a reliable intelligence tool to protect networks against cyberattacks. Network data fe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.