L. Lanuwabang

Work place: Kalasalingam Academy of Research and Education, and Director, National Institue of Electronics & Information Technology, Kohima 797001, Nagaland, India

E-mail: lanu@nielit.gov.in

Website: https://orcid.org/0009-0004-3579-6763

Research Interests:

Biography

L. Lanuwabang, a Research Scholar at Kalasalingam Academy of Research and Education, is the Director at National Institute of Electronics & IT under the Ministry of Electronics & IT, Government of India. He holds an M.Tech in Computer Science and Engineering with over 21 years of experience in leadership, teaching, and project management. With 15+ years of expertise in digital forensics and cyber security , he developed tools like the Live Web Acquisition Tool, LEA Helpdesk, and Cyber Crime Case Management Systems. He developed interactive cybersecurity educational apps in 22 Indian and 7 foreign languages. He has promoted entrepreneurship by establishing NIELIT Kohima’s Incubation Centre, nurturing 25+ startups. His contributions in curriculum design, 15+ project execution, and digital forensics solutions have significantly supported national growth and enhanced NIELIT’s impact.

Author Articles
Detection of Anomalies Based on User Behavioral Information: A Survey

By L. Lanuwabang P. Sarasu

DOI: https://doi.org/10.5815/ijwmt.2025.03.04, Pub. Date: 8 Jun. 2025

User and entity behaviour analytics (UEBA) solutions are becoming more and more popular for detecting anomalies since they establish baseline models of typical user behaviour and highlight deviations from them. Modelling normal user behavior and identifying any new behavior that deviates from the normal model user i.e., an attack, which is the main concept of Anomaly Detection (AD) techniques. In this work, a comprehensive review of various AD techniques based on user behavior is presented. Accordingly, this survey is concerted on various techniques employed for AD based on user behavior.  Among various research articles, 50 research articles based on AD are considered and categorized based on different parameters, like techniques, publication year, performance metrics, utilized tools, and so on.  At last, the research gaps and challenges of this method are illustrated in such a way that a goal for emerging an efficient technique for allowing the effective AD technique is defined.

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