Abstract
Detection is one of the biggest threats to the organization. The detection of abnormal behaviors is one of the most difficult tasks for administrators of information systems (IS). Anomaly behavior is defined as any behavior that deviates from normal within or outside the organization IS, including insider attacks and any behavior that threatens the confidentiality, integrity, and availability of information systems for organizations. The detection of anomalies is extremely important to prevent and reduce illegal activities and to provide an effective emergency response.
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The authors express gratitude toward the assistance provided by Accendere Knowledge Management Services Pvt. Ltd. in preparing the manuscripts. We also thank our mentors and faculty members who guided us throughout the research and helped us in achieving the desired results.
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Lakshmi, K.N., Neema, N., Mohammed Muddasir, N., Prashanth, M.V. (2020). Anomaly Detection Techniques in Data Mining—A Review. In: Ranganathan, G., Chen, J., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 89. Springer, Singapore. https://doi.org/10.1007/978-981-15-0146-3_76
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DOI: https://doi.org/10.1007/978-981-15-0146-3_76
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