Jeba Praba. J.

Work place: Department of Computer Applications, Christ College, Rajkot, India Marwadi University, Rajkot, Gujarat, India



Research Interests: Information Security, Network Security, Information-Theoretic Security


One of a few researchers in the field of cloud security in the Gujarat province of India, Mrs. Jeba Praba J. (Assistant Professor, Dept. of Computer Science & Applications, Christ College, Rajkot, Gujarat, India), is a PhD research scholar of the Marwadi University, Rajkot, Gujarat, India. She has over 17 years of experience in teaching, research, and academic administration. She has been an organizing committee member for various International and National Symposia, Workshops, Seminars, etc. She has published many research papers and book chapters in internationally reputed journals and books. She has also presented her research work at many international and national conferences and has attended several international and national conferences. She is a life member of various International and National Scientific organizations, including the Institute of Electrical and Electronics Engineers (IEEE), the Computer Society of India (CSI) and the International Association of Computer Science and Information Technology (IACSIT), Singapore. She is a highly dynamic teacher, researcher, and academic administrator.

Author Articles
LCDT-M: Log-Cluster DDoS Tree Mitigation Framework Using SDN in the Cloud Environment

By Jeba Praba. J. R. Sridaran

DOI:, Pub. Date: 8 Apr. 2023

In the cloud computing platform, DDoS (Distributed Denial-of-service) attacks are one of the most commonly occurring attacks. Research studies on DDoS mitigation rarely considered the data shift problem in real-time implementation. Concurrently, existing studies have attempted to perform DDoS attack detection. Nevertheless, they have been deficient regarding the detection rate. Hence, the proposed study proposes a novel DDoS mitigation scheme using LCDT-M (Log-Cluster DDoS Tree Mitigation) framework for the hybrid cloud environment. LCDT-M detects and mitigates DDoS attacks in the Software-Defined Network (SDN) based cloud environment. The LCDT-M comprises three algorithms: GFS (Greedy Feature Selection), TLMC (Two Log Mean Clustering), and DM (Detection-Mitigation) based on DT (Decision Tree) to optimize the detection of DDoS attacks along with mitigation in SDN. The study simulated the defined cloud environment and considered the data shift problem during the real-time implementation. As a result, the proposed architecture achieved an accuracy of about 99.83%, confirming its superior performance.

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