Modified Bio-Inspired Algorithms for Intrusion Detection System-Reference-Cited by-同舟云学术

Modified Bio-Inspired Algorithms for Intrusion Detection System

Published:2020-08-02 Issue: Volume: Page:185-201
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Sharma Moolchand,Saini Shachi,Bahl Sneha,Goyal Rohit,Deswal Suman

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-5113-0_14

Reference16 articles.

1. P.U. Kadam, M. Deshmukh, Various approaches for intrusion detection system: an overview 2(11), Nov 2014. Accessed on 15 Jan 2019. [Online]. Available http://www.ijircce.com/upload/2014/november/38X_Various.pdf

2. Basic intrusion detection system. elprocus.com, Accessed on 16 Jan 2019. [Online]. Available https://www.elprocus.com/basic-intrusion-detection-system/

3. S. Binitha, S.S. Sathya, A survey of bio-inspired optimization algorithms. Int. J. Soft Comput. Eng. IJSCE. 2(2). ISSN: 2231-2307, May 2012

4. N. Pazhaniraja, P.V. Paul, G. Roja, K. Shanmugapriya, B. Sonali, A study on recent bio-inspired optimization algorithms, in 2017 Fourth International Conference on Signal Processing, Communication and Networking (ICSCN). https://doi.org/10.1109/icscn.2017.8085674

5. J. Kaliappan, R. Thiagarajan, K. Sundararajan, Intrusion detection using artificial neural networks (ANN) with the best set of features. Int. Arab J. Inf. Technol. (2015)

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