Standout Papers

E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT 2022 2026 2023 2024115
  1. E-GraphSAGE: A Graph Neural Network based Intrusion Detection System for IoT (2022)
    Wai Weng Lo, Siamak Layeghy et al. arXiv (Cornell University)

Immediate Impact

13 standout
Sub-graph 1 of 7

Citing Papers

Anomaly detection in IoT-based healthcare: machine learning for enhanced security
2024 Standout
A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
2024 Standout
2 intermediate papers

Works of Mohanad Sarhan being referenced

Exploring edge TPU for network intrusion detection in IoT
2023
HBFL: A hierarchical blockchain-based federated learning framework for collaborative IoT intrusion detection
2022

Author Peers

Author Last Decade Papers Cites
Mohanad Sarhan 348 390 198 11 486
Sebastián García 404 436 266 8 515
Michalis Kallitsis 262 372 257 13 500
Deepak Kumar 263 350 275 11 515
Lowri Williams 288 303 205 15 434
Nayeem Islam 250 345 222 16 526
Rick Hofstede 279 377 121 19 421
Yuyang Zhou 371 501 277 17 574
Arunan Sivanathan 302 392 203 6 489
Giovanni Apruzzese 368 448 335 24 559
Wathiq Laftah Al-Yaseen 343 341 162 16 453

All Works

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2026