April 29, 2020
Dr. S. Saraswathi – Associate Professor
cse
Dr. S. Saraswathi, Associate Professor in the Department of Computer Science and Engineering has around 17 years of teaching experience. She received her Ph.D. from Anna University in 2015, Masters in Computer Science & Engineering (M.E.) from Manonmaniam Sundaranar University in 2005 and Bachelor in Computer Science & Engineering (B.E.) from National Engineering College, Manonmaniam Sundaranar University in 1999. She has two faculty internal funded projects funded by SSN trust.
Areas of Research: Network Security, Cyber Security, IoT, Blockchain |
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Selected Publications:
1. Shunmuganathan S. “Enforcing a Source-end Cooperative Multilevel Defense Mechanism to Counter Flooding Attack” COMPUTER SYSTEMS SCIENCE AND ENGINEERING. 2023 Jan 1;44(1):67-79. 2. Lokeswari Y Venkataramana , Venkata Vara Prasad D S. Saraswathi, C. M. Mithumary, R. Karthikeyan,N. Monika “Classifcation of COVID-19 from tuberculosis and pneumonia using deep learning techniques” in Medical & Biological Engineering & Computing Jul 2022, Springer. 3. Prasad VV, Venkataramana LY, Saraswathi S, Mathew S, Snigdha V. Bayesian approach to incremental batch learning on forest cover sensor data for multiclass classification. CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS. 2021 Dec 1;29(4):405-14. 4. Shunmuganathan S. A Reliable Lightweight Two Factor Mutual Authenticated Session Key Agreement Protocol for Multi-Server Environment. Wireless Personal Communications. 2021 Dec;121(4):2789-822. 5. S Renuka Devi , L Shyamala, S Saraswathi, “Adaptive Learning Based Whale Optimization and Convolutional Neural Network Algorithm for Distributed Denial of Service Attack Detection in Software Defined Network Environment”, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 10 Issue: 6 PP: 80-93 Funded Projects: 2 (Faculty internal funded) 1. Design and Development of Wearable Textronic System for Monitoring Physiological Parameters 2. Building a Streaming Air Quality Monitoring System and Analyse Trend for Healthy Living 7 (Student internal funded) 1. Smart Fire Detection System Using Electronic Nose. 2. Omilia- The Sign Language Converter 3. Smart Air Pollution Monitoring System 4. IOT enabled water quality management and conservation smart water storage 5. Smart receptionist for enhanced security at home and office 6. Smart Lock 7. Floating water waste collecting robot Google Scholar: https://scholar.google.com/citations?user=3X6oOKQAAAAJ&hl=en LinkedIn: |