SHAKE-ESDRL-based energy efficient intrusion detection and hashing system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12243-023-00963-w.pdf
Reference25 articles.
1. Abdallah EE, Eleisah W, Otoom AF (2022) Intrusion detection systems using supervised machine learning techniques: a survey. Procedia Comput Sci 201(C):205–212. https://doi.org/10.1016/j.procs.2022.03.029
2. Alruhaily NM, Ibrahim DM (2021) A multi-layer machine learning-based intrusion detection system for wireless sensor networks. Int J Adv Comput Sci Appl 12(4):281–288. https://doi.org/10.14569/IJACSA.2021.0120437
3. Chikkalwar SR, Garapati Y (2022) Autoencoder – support vector machine – grasshopper optimization for intrusion detection system. Int J Intell Eng Syst 15(4):406–414. https://doi.org/10.22266/ijies2022.0831.36
4. Gavel S, Raghuvanshi AS, Tiwari S (2021) A novel density estimation based intrusion detection technique with Pearson’s divergence for Wireless Sensor Networks. ISA Trans 111:180–191. https://doi.org/10.1016/j.isatra.2020.11.016
5. Godala S, Vaddella RPV (2020) A study on intrusion detection system in wireless sensor networks. Int J Commun Netw Inf Secur 12(1):127–141. https://doi.org/10.17762/ijcnis.v12i1.4429
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