Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach - researchr publication related

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Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed, Rafiqul Islam. Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach. IACR Cryptology ePrint Archive, 2022:453, 2022. [doi]

The following publications are possibly variants of this publication:

Dependable Intrusion Detection System for IoT: A Deep Transfer Learning Based ApproachSk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman 0003, Kawsar Ahmed, Rafiqul Islam 0002. tii, 19(1):1006-1017, 2023. [doi]

Adaptive Network Intrusion Detection Learning: Attribute Selection and ClassificationDewan Md Farid, Jerome Darmont, Nouria Harbi, Huu-Hoa Nguyen, Mohammad Zahidur Rahman. In International Conference on Computer Systems Engineering (ICCSE 09), Bangkok, Thailand. 2009:

Scaling up Detection Rates and Reducing False Positives in Intrusion Detection using NBTreeDewan Md Farid, Huu-Hoa Nguyen, Jerome Darmont, Nouria Harbi, Mohammad Zahidur Rahman. In International Conference on Data Mining and Knowledge Engineering (ICDMKE 10), Rome, Italy. 2010:

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