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Faheed A. F. Alenezi

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2022
[c6]
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  - conf/cns/KumariASC22
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Ranju Kumari, Faheed A. F. Alenezi, Sejun Song, Baek-Young Choi:
ML-AWARE: A Machine Learning Approach for Detecting Wormhole Attack Resonance. CNS 2022: 1-6
[c5]
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Ranju Kumari, Faheed A. F. Alenezi, Sejun Song, Baek-Young Choi:
ML-Defense: Machine Learning for building Dependable Federated Network System. ICTC 2022: 956-961
2021
[c4]
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Faheed A. F. Alenezi, Sejun Song, Baek-Young Choi:
WAND: Wormhole Attack Analysis using the Neighbor Discovery for Software-defined Heterogeneous Internet of Things. ICC Workshops 2021: 1-6
[c3]
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Faheed A. F. Alenezi, Sejun Song, Baek-Young Choi:
CAMEL: Centrality-Aware Multitemporal Discovery Protocol for Software-defined Networks. ICCCN 2021: 1-8
[c2]
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Faheed A. F. Alenezi, Sejun Song, Baek-Young Choi:
SWANS: SDN-based Wormhole Analysis using the Neighbor Similarity for a Mobile ad hoc network (MANET). IM 2021: 653-657
2020
[c1]
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Faheed A. F. Alenezi, Sejun Song, Baek-Young Choi, Haymanot Gebre-Amlak:
TaDPole: Traffic-aware Discovery Protocol for Software-Defined Wireless and Mobile Networks. ICCCN 2020: 1-9

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