Secure and optimized intrusion detection scheme using LSTM-MAC principles for underwater wireless sensor networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-023-03470-x.pdf
Reference59 articles.
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3. Li, S., Qu, W., Liu, C., Qiu, T., & Zhao, Z. (2019). Survey on high reliability wireless communication for underwater sensor networks. Journal of Network and Computer Applications, 148, 102446.
4. Ahmad, Z., Shahid Khan, A., Wai Shiang, C., Abdullah, J., & Ahmad, F. (2021). Network intrusion detection system: A systematic study of machine learning and deep learning approaches. Transactions on Emerging Telecommunications Technologies, 32(1), e4150.
5. Narayanan, K. L., Krishnan, R. S., Julie, E. G., Robinson, Y. H., & Shanmuganathan, V. (2022). Machine learning based detection and a novel EC-BRTT algorithm based prevention of DoS attacks in wireless sensor networks. Wireless Personal Communications, 127, 479–503.
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