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Intrusion Detection System Using Soft Computing Techniques: A Review

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ICDSMLA 2019

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 601))

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Abstract

In the proposed study, the past research work has been reviewed which was based on soft computing techniques for IDS and played a better role to detect the intrusion in computer networks. This study reviewed various research articles during 2009–2017 on the intrusion detection system by using soft computing techniques and tried to present a more comprehensive study. In the review process, the data collected has been related to the tools used, dataset class, approaches, performance metrics related details of the soft computing technique and summarizes it with effectiveness. Finally, considering collected statistics, strengths and weaknesses of reviewed articles the findings of this review shall be useful for future researchers in the field of intrusion detection system in their research.

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Authors and Affiliations

  1. Dr. Shakuntala Misra National Rehabilitation University, Lucknow, Uttar Pradesh, India

    Pooja Agarwal

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  1. Pooja Agarwal
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Correspondence to Pooja Agarwal .

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Editors and Affiliations

  1. BioAxis DNA Research Centre Private Ltd, Hyderabad, Telangana, India

    Amit Kumar

  2. Polish Academy of Science, Systems Research Institute, Warsaw, Poland

    Marcin Paprzycki

  3. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, Telangana, India

    Vinit Kumar Gunjan

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Agarwal, P. (2020). Intrusion Detection System Using Soft Computing Techniques: A Review. In: Kumar, A., Paprzycki, M., Gunjan, V. (eds) ICDSMLA 2019. Lecture Notes in Electrical Engineering, vol 601. Springer, Singapore. https://doi.org/10.1007/978-981-15-1420-3_1

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