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Cyber Security pp 101–109Cite as

Review of CIDS and Techniques of Detection of Malicious Insiders in Cloud-Based Environment

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 729))

Abstract

Cloud computing has gained an extreme importance nowadays. Every organization is getting attracted toward the Cloud computing due to its attractive features like cost saving, adaptability, etc. Although it offers the attractive features but still Cloud threats need great consideration. The insider threat is critically challenging in the Cloud-based environments. In order to mitigate from insider attacks in Clouds, the use of Intrusion detection system (IDS) is quite challenging. Every type of IDS has different methods of attack detection. So, single IDS cannot guarantee the protection from all types of attacks. Thus, in this paper, we have studied the various types of IDS and their features which made them either suitable or unsuitable for cloud computing. Also on the basis of review, required features for the Cloud-based IDS are identified.

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Author information

Authors and Affiliations

  1. M.M. Institute of Computer Technology & Business Management, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India

    Priya Oberoi & Sumit Mittal

Authors
  1. Priya Oberoi
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  2. Sumit Mittal
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Corresponding author

Correspondence to Priya Oberoi .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Aligarh Muslim University, Aligarh, Uttar Pradesh, India

    M. U. Bokhari

  2. National Institute of Financial Management, Faridabad, Haryana, India

    Namrata Agrawal

  3. Bharati Vidyapeeth’s College of Engineering (BVCOE), New Delhi, India

    Dharmendra Saini

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Cite this paper

Oberoi, P., Mittal, S. (2018). Review of CIDS and Techniques of Detection of Malicious Insiders in Cloud-Based Environment. In: Bokhari, M., Agrawal, N., Saini, D. (eds) Cyber Security. Advances in Intelligent Systems and Computing, vol 729. Springer, Singapore. https://doi.org/10.1007/978-981-10-8536-9_11

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  • DOI: https://doi.org/10.1007/978-981-10-8536-9_11

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8535-2

  • Online ISBN: 978-981-10-8536-9

  • eBook Packages: EngineeringEngineering (R0)

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