An intrusion detection system for wireless sensor networks using deep neural network-Reference-Cited by-同舟云学术

An intrusion detection system for wireless sensor networks using deep neural network

Published:2021-11-17 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Gowdhaman V.,Dhanapal R.

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06473-y.pdf

Reference28 articles.

1. Alaparthy VT, Morgera SD (2018) A multi-level intrusion detection system for wireless sensor networks based on immune theory. IEEE Access 6:47364–47373

2. Borkar GM, Patil LH, Hutke A (2019) A novel clustering approach and adaptive SVM classifier for intrusion detection in WSN: a data mining concept. Sustain Comput Inf Syst 23:120–135

3. Cauteruccio F, Fortino G, Vega MT (2019) Short-long term anomaly detection in wireless sensor networks based on machine learning and multi-parameterized edit distance. Inf Fusion 52:13–30

4. Filho GPR, Villas LA, Ueyama J (2018) Towards a smarter smart home system for decision-making using wireless sensors and actuators. Comput Netw 135:54–69

5. Gavel S, Raghuvanshi AS, Tiwari S (2020) A novel density estimation based intrusion detection technique with Pearson’s divergence for wireless sensor networks. ISA Trans 111:180–191

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