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Home/ Staff A–Z/ Dr. Gokul Kannan Sadasivam
Gokul Kannan Sadasivam
Teaching

Dr. Gokul Kannan Sadasivam

Professor

Computer Science EC Campus gokul@pes.edu +91 80 6618 6610
4
Research Areas
10
Publications
13
Courses Taught
4
Qualifications
7
Roles Held
0
Achievements

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, and data science. 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.

Research Areas

4
Research Interest
  • Network Forensics
  • Network Attacks
  • IoT Botnets
  • Data Science

Publications

10
Conferences
  • 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
  • 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
  • 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
  • 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
  • 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
Journals
  • 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
  • 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
  • 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
  • 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
Others
  • Honeypot Challenges and Countermeasures, Symposium on Information Security, Hyderabad, 2013

Teaching

13
Machine LearningBlockchainComputer NetworksStatistics for Data Science (Mathematics for Computer Science and Engineering)Web Security (Special Topic)R Programming (Summer Course)UNIX Shell Programming (Special Topic)Compiler DesignMobile and Autonomous Robotics SystemsAutomata Formal Languages and LogicComputer Network SecurityReinforcement Learning (Summer Course)Intrusion Detection and Prevention (Summer Course)

Education

4
  • 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

Experience

7
  • Assistant Professor
    Birla Institute of Technology & Science, Pilani
    September 2012 – Dec. 2018
  • Professor
    PES University
    May 2025 – Till date
  • Systems Engineer
    Transit Link Pte Ltd
    May 2007 – January 2008
  • Associate Professor
    PES University
    July 2022 – April 2025
  • .NET Software Engineer
    Sopra Steria Asia Pte Ltd
    January 2008 – December 2009
  • Guest Faculty
    Birla Institute of Technology & Science, Pilani (WILP, Bangalore Center)
    December 2020 – April 2021
  • Associate Professor
    Vel Tech Rangarajan Dr. Sagunthala R & D Institute of Science and Technology
    April 2021 – July 2022

Responsibilities

2
  • Class Coordinator
  • Anchor - Mobile and Autonomous Robotics Systems

Campus

EC Campus