Artificial Intelligence-Based Technique for Intrusion Detection in Wireless Sensor Networks

Author:

Kalnoor Gauri,Agarkhed Jayashree

Publisher

Springer Singapore

Reference21 articles.

1. Tyugu, E. (2011, June). Artificial intelligence in cyber defense. In Cyber Conflict (ICCC), 2011 3rd International Conference on (pp. 1–11). IEEE.

2. Patel, A., Taghavi, M., Bakhtiyari, K., & Júnior, J. C. (2012). Taxonomy and proposed architecture of intrusion detection and prevention systems for cloud computing. In Cyberspace Safety and Security (pp. 441–458). Springer Berlin Heidelberg.

3. Çakır, H., & Sert, E. (2010). Bilişim Suçları ve Delillendirme Süreci. 2. Uluslararası Terörizm ve Sınıraşan Suçlar Sempozyumu Bildirisi, 143.

4. Artificial Intelligence, Wikipedia, http://en.wikipedia.org/wiki/Artificial_intelligence , (24/11/2014).

5. Shamshirband, S., Patel, A., Anuar, N. B., Kiah, M. L. M., & Abraham, A. (2014). Cooperative game theoretic approach using fuzzy Q-learning for detecting and preventing intrusions in wireless sensor networks. Engineering Applications of Artificial Intelligence, 32, 228–241.

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