Abstract
In this paper, a new technique is used by implementing artificial immune system (AIS). Artificial immune system is inspired by the human immune system (HIS). It has been applied for solving complex computational problem in classification, pattern recognition, and optimization. Proposed method developed a new model for anomaly detection process by negative selection algorithm (NSA) and classification algorithm. NSA algorithm of AIS is based on the principle of self- and nonself-discrimination in the immune system.
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Mehare, V., Thakur, R.S. (2018). Data Mining Models for Anomaly Detection Using Artificial Immune System. In: Tiwari, B., Tiwari, V., Das, K., Mishra, D., Bansal, J. (eds) Proceedings of International Conference on Recent Advancement on Computer and Communication . Lecture Notes in Networks and Systems, vol 34. Springer, Singapore. https://doi.org/10.1007/978-981-10-8198-9_44
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