Qualification:
• M.Phil., Ph.D., and Certified MS, MCP, MCSA, MCITP, MCTS, ECSA, CHFI, AZURE AZ-500/900
Subject you teach:
• Cyber Security and Digital Forensics
Interests:
• Biking
• Listening Music
• Socializing
Journals:
• Sethy, P. K., Jena, D., Barpanda, N. K., & Panigrahi, G. R. A Smart CAN-Bus Model for In-Vehicle Message Passing Channel, International Journal of Research in Advent Technology, Vol.7, No.5, May 2019, E-ISSN: 2321-9637.
• Sethy, P. K., Panigrahi, G. R., Barpanda, N. K., Behera, S. K., & Rath, A. K. (2018). Application of Soft Computing in Crop Management. In Intelligent Engineering Informatics: Proceedings of the 6th International Conference on FICTA (pp. 633-646). Springer Singapore.
• Sethy, P. K., Bisoi, A., Panigrahi, G. R., & Behera, S. K. (2019). Detection and Identification of Downy Mildew Diseased Leaf of Cucurbita Pepo (Pumpkin) Using Digital Image Processing. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 3 (pp. 353-363). Springer Singapore.
• Panigrahi, G. R., Barpanda, N. K., & Panda, M. (2020, March). A Virtual & Pragmatic Analysis on Networked Security Incident, its Handling & Reporting Measures. In 2020 International Conference on Computer Science, Engineering and Applications (ICCSEA) (pp. 1-4). IEEE.
• Panigrahi, G. R., Barpanda, N. K., & Panda, M. (2021). Machine automation making cyber-policy violator more resilient: A proportionate study. In Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science (pp. 329-345). IGI Global.
• Gyana Ranjana Panigrahi, Nalini Kanta Barpanda, Prabira Kumar Sethy, Navigating the cyber forensics landscape review of recent innovations, International Journal of Informatics and Communication Technology (IJ-ICT)Vol. 13, No. 1, April2024, pp. 27~33ISSN: 2252-8776, DOI: 10.11591/ijict.v13i1.pp27-33.
• Panigrahi, G. R., Barpanda, N. K., Biswal, R., & Samantaray, D. (2021, December). A Machine Automated Big Data Modular Framework for Finding Network Security Vulnerabilities. In 2021 19th OITS International Conference on Information Technology (OCIT) (pp. 161-166). IEEE.
• Panigrahi, G. R., Barpanda, N. K., Chandra Mohanty, S., & Das, A. (2022). AI-Powered Smart Routers. In Smart and Sustainable Technologies: Rural and Tribal Development Using IoT and Cloud Computing: Proceedings of ICSST 2021 (pp. 113-126). Singapore: Springer Nature Singapore.
• Gyana Ranjana Panigrahi, Nalini Kanta Barpanda, Komma Anitha, Shanti Rathore, Preesat Biswas, Prabira Kumar Sethy, Indonesian Journal of Electrical Engineering and Computer ScienceVol.29, No.3, March2023, pp. 1802~1808ISSN: 2502-4752, DOI: 10.11591/ijeecs.v29.i3.pp1802-1808.
• Panigrahi, G. R., Sethy, P. K., Borra, S. P. R., Barpanda, N. K., & Behera, S. K. (2023). Deep Ensemble Learning for Fake Digital Image Detection: A Convolutional Neural Network-Based Approach. Revue d’Intelligence Artificielle, 37(3), 703.
• Panigrahi, G. R., Barpanda, N. K., Sethy, P. K., & Samantaray, D. (2023). A Comparison of Capability Measurement between Various Incident Handling and Reporting Schemas. In Social Media and Crowdsourcing (pp. 93-124). Auerbach Publications.
• Panigrahi, G. R., Sethy, P. K., Behera, S. K., Gupta, M., Alenizi, F. A., Suanpang, P., & Nanthaamornphong, A. (2024). Analytical Validation and Integration of CIC-Bell-DNS-EXF-2021 Dataset on Security Information & Event Management. IEEE Access.
• Panigrahi, G. R., Sethy, P. K., Behera, S. K., Gupta, M., Alenizi, F. A., & Nanthaamornphong, A. (2024). Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation. IEEE Access.
• Naik, N. K., Subbarao, M. V., Sethy, P. K., Behera, S. K., & Panigrahi, G. R. (2024). Machine learning with analysis-of-variance-based method for identifying rice varieties. Journal of Agriculture and Food Research, 18, 101397.
Awards:
• “Best Dressed man” – 2013, HVET.
• “Silent Achiever Award” – 2015, HVET.
• “Dynamic Personality Award of the Year” – 2016, HVET.
• “Trustees Special Award” – 2018, HVET.
• “Award of Excellence” – 2019, HVET.
• “Award of Excellence” – 2022, HVET.
Other Accomplishments
• Academic Reviewer:
• Served as a reviewer for leading journals such as:
• The Journal of Cybersecurity (ISSN 2057-2093),
• IEEE Access (ISSN 2169-3536), and
• Oxford and so on.
• International Memberships:
• IEEE
• Microsoft
• EC-Council and
• NASSCOM FutureSkills Prime.
• As an invited speaker, I delivered a talk on Cybersecurity and Digital Forensics at EC-Council University, New Mexico, USA:
• AI in Cyber Warfare: AI-Powered Attacks and Defense.
• Mobile Device Forensics: A Beginner’s Guide.
• Decentralized Security: Role of Blockchain in Cybersecurity.
• Exploring the Intersection of Digital Forensics and Identity Management.
• Blockchain and Identity Management: Building Trust in a Digital World.
• A Guide to Incident Response Framework: Data Mining and Managed Review.
