Intrusion Detection System Based on Feature Reduced Back Propagation Neural Network Using Ant Colony Optimization-Reference-Cited by-同舟云学术

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Intrusion Detection System Based on Feature Reduced Back Propagation Neural Network Using Ant Colony Optimization

Published:2022-08-30 Issue: Volume: Page:169-179
ISSN:2367-3370
Container-title:Cyber Technologies and Emerging Sciences
language:
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Author:

Dubey Ghanshyam Prasad,Bhujade Rakesh Kumar

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2538-2_16

Reference21 articles.

1. Jabez J, Muthukumar B (2015) Intrusion detection system (IDS): anomaly detection using outlier detection approach. In: Proceedings of international conference on intelligent computing, communication and convergence (ICCC-2015), published under Procedia Computer Science, vol 48, Science Direct, ELSEVIER, pp 338–346

2. Mane V, Pawar S (2016) Anomaly based IDS using back propagation neural network. Int J Comput Appl (IJCA) [0975-8887] 136(10):29–34

3. Ossowicka A, Pietrolaj M, Ruminski J (2020) A survey of neural networks usage for intrusion detection systems. J Ambient Intell Humanized Comput

4. Sharma R, Kalita H, Borah P (2016) Analysis of machine learning techniques based intrusion detection systems. In: Proceedings of 3rd international conference on advanced computing, networking and informatics, published under Smart Innovation, Systems and Technologies, vol 44. Springer, pp 485–493

5. Kumar S, Viinikainen A, Hamalainen T (2016) Machine learning classification model for network based intrusion detection system. In: Proceedings of 11th international conference for internet technology and secured transactions (ICITST-2016). IEEE, pp 242–249

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