BSMACRN: Design of an Efficient Blockchain-Based Security Model for Improving Attack-Resilience of Cognitive Radio Ad-hoc Networks

Cognitive Radio Ad-hoc Networks (CRAHNs) are under constant attacks from compromised primary & secondary nodes. These attacks focus on bandwidth manipulation, internal configuration manipulation, and selective spoofing, which can disturb the normal working of the CRAHNs. Researchers propo...

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出版年:	IEEE Access
主要な著者:	Debabrata Dansana, Prafulla Kumar Behera, S. Gopal Krishna Patro, Quadri Noorulhasan Naveed, Ayodele Lasisi, Anteneh Wogasso Wodajo
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2024-01-01
主題:	Cognitive radio ad-hoc networks blockchain attack security mayfly optimization
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10384347/