Dr. Gokul Kannan Sadasivam
Professor
- Teaching
About
Works in the intersection of Network Security and Data Science, with thirteen plus years of experience in teaching/research/industry roles. Research skills/interests in network forensics, network attacks, IoT botnets, data science, and robotics. Published several papers in reputed conferences and journals. Good team player with excellent communication/interpersonal skills. Highly motivated to learn new enhancements in technology and a flair for creativity.
Systems Engineer, Transit Link Pte Ltd, 2007 - 2008
.NET Software Engineer, Sopra Steria Asia Pte Ltd., 2008 - 2009
Assistant Professor, Birla Institute of Technology & Science, Pilani, 2012 - 2018
Associate Professor, Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology, 2021 - 2022
Associate Professor, PES University, 2022 - 2025
Professor, PES University, 2025 - Till date
Machine Learning
Blockchain
Computer Networks
Statistics for Data Science (Mathematics for Computer Science and Engineering)
Web Security (Special Topic)
R Programming (Summer Course)
UNIX Shell Programming (Special Topic)
Compiler Design
Mobile and Autonomous Robotics Systems
Automata Formal Languages and Logic
Computer Network Security
Reinforcement Learning (Summer Course)
Intrusion Detection and Prevention (Summer Course)
Class Coordinator
Anchor - Mobile and Autonomous Robotics Systems, Computer Network Security
Attendance Coordinator
Centre Head - Centre for Advanced Robotics
Network Forensics
Network Attacks
IoT Botnets
Data Science
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Gokul Kannan Sadasivam and Chittaranjan Hota. "Efficient Detection of Malwares using Low-Interaction Honeypots". In: Intelligent systems, Computing and Information Technology (NCICIT), 2014 National Conference on. Anna University, Tiruchirappalli, India, 2014. Page 2 of 6
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Gokul Kannan Sadasivam and Chittaranjan Hota. "Scalable Honeypot Architecture for Identifying Malicious Network Activities". In: Emerging Information Technology and Engineering Solutions (EITES), 2015 International Conference on. Pune, India, 2015, pp. 27–31. doi: 10.1109/EITES.2015.15
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Gokul Kannan Sadasivam, Chittaranjan Hota, and Anand Bhojan. "Classification of SSH Attacks Using Machine Learning Algorithms". In: 2016 6th International Conference on IT Convergence and Security (ICITCS). Prague, The Czech Republic, 2016, pp. 1–6. doi:10.1109/ICITCS.2016.7740316
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Gokul Kannan Sadasivam, Chittaranjan Hota, and Anand Bhojan. "Honeynet Data Analysis and Distributed SSH Brute-Force Attacks". In: The International Conference Towards Extensible and Adaptable Methods in Computing, TEAMC 2018. 26-28 March. Netaji Subhas Institute of Technology, New Delhi, India, 2018. url: https://drive.google.com/file/d/1bhdcUA0EJBhDTbyMw2Y0mSVkXWlCf8W4
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A Kavitha et al. "Diagnosing Musculoskeletal Disorders from Shoulder Radiographs Using Deep Learning Models". In: 2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC). 22 April. Vel Tech Rangarajan Dr Sagunthala R and D Institute of Science and Technology, Chennai, India, 2022, pp. 85–90. doi: 10.1109/ICESIC53714.2022.9783501
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Gokul Kannan Sadasivam, Chittaranjan Hota, and Anand Bhojan. "Detection of Severe SSH Attacks Using Honeypot Servers and Machine Learning Techniques". In: Journal of Software Networking 2017.1 (Jan. 2017), pp. 79–100. doi: 10.13052/jsn2445-9739.2017.005. url: doi.org/10.13052/jsn2445-9739.2017.005
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Gokul Kannan Sadasivam, Chittaranjan Hota, and Anand Bhojan. "Detection of stealthy single-source SSH password guessing attacks". In: Evolving Systems (2021). (SCIE, Scopus), pp. 1–15. doi: 10.1007/s12530- 020- 09360-3. url: https://doi.org/10.1007/s12530-020-09360-3
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Vighnesh M S et al. "Attendance Automation Using Deep Learning". In: International Journal of Engineering Research & Technology (IJERT) 12.3 (2023). doi: 10.17577/IJERTV12IS030043. url: https://www.ijert.org/attendance-automation-using-deep-learning
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Manas et al. "Detection of SSH Password Guessing Attacks using Classification Algorithms". In: International Journal on Recent and Innovation Trends in Computing and Communication, doi: doi.org/10.17762/ijritcc.v11i9.9883, url: https://ijritcc.org/index.php/ijritcc/article/view/9883
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Honeypot Challenges and Countermeasures, Symposium on Information Security, Hyderabad, 2013
Education
PhD (Computer Science and Engineering), BITS Pilani, 2021
M.Sc. (Computer Science), San Francisco Bay University, 2012
M.Sc. (Computer Engineering), National University of Singapore, 2007
B.E., College of Engineering Guindy, Anna University, 2004