Jayanta Mondal

Assistant Professor

Dr. Jayanta Mondal has completed his PhD in CSE from KIIT University, Bhubaneswar in 2018. He has a total experience of 8 years in the field of teaching and research. His research interests include cryptography, sensitive data security, and data mining.

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Research Interests
Information Security and Data Mining

Memberships
IET
Journals/Conferences :
INTERNATIONAL JOURNALS
1. Mondal, J., Swain, D. (2020). A 3-layer RDH method in encrypted domain for medical information security. International Journal of Electronic Security and Digital Forensics, 12(1), 1-15.
2. Mondal, J., Swain, D., Panda, D. D. (2019). A novel LSB-based RDH with dual embedding for encrypted images. International Journal of Electronic Security and Digital Forensics, 11(3), 281-293.
3. Mondal, J., Swain, D., Singh, D. P., Mohanty, S. (2017). An improved LSB-based RDH technique with better reversibility. International Journal of Electronic Security and Digital Forensics, 9(3), 254-268.
4. Mondal, J., Panda, G.K. (2015). Rough set techniques for text classification and sentiment analysis in social media. International Journal of Emerging Technologies in Computational and Applied Sciences, 9(3).
5. Mondal, J., Panda, & G.K. (2013). Critical security threats in online information system. InternationalJournal of Application or Innovation Engineering & Management, 2(5), 55-62.

INTERNATIONAL CONFERENCES
1. Mondal, J., Swain, D., & Panda, D. D. (2017, December). A prevalent study on secure medical image digitization through RDH. In 2017 Fourth International Conference on Image Information Processing (ICIIP) (pp. 1-6). IEEE.
2. Mondal, J., Swain, D., & Panda, D. D. (2018, April). An Improved RDH Model for Medical Images with a Novel EPR Embedding Technique. In International Conference on Advances in Computing and Data Sciences (pp. 421-430). Springer, Singapore.
3. Rao, B., Mitra, A., Mondal, J. (2015). Algorithm for retrieval of sub-community graph from a compressed community graph using graph mining techniques. Procedia Computer Science, 57, 678-685.
4. Bramha, M., Mitra, A., Mondal, J. (2014, December). Solving web-choreographic problem using cooperative and fussion based intelligence system. In 2014 IEEE International Conference on Computational Intelligence and Computing Research (pp. 1-6). IEEE.
5. Sen, S., Mukherjee, A., Mondal, J., Saroliya, A. (2020, February). A Contemplator on Reversible Data Hiding in Encrypted Domain. In 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) (pp. 1-4). IEEE.
6. Saroliya, A., Mondal, J., & Agrawal, M. (2020, February). A Solution for Secured Content Transferring in between Multiple Hosts within P2P Enabled Intranet. In 2020 International Conference on Emerging Trends in Communication, Control and Computing (ICONC3) (pp. 1-3). IEEE.
7. Mondal, J., Das, M. (2020, November). A Novel Multilevel RDH for Medical Image Authentication. In 2020 International Conference on Machine Learning and Information Processing (ICMLIP).


Books :
BOOK CHAPTERS
1. Mondal, J., Swain, D. (2020). A Contemplator on Topical Image Encryption Measures. In Cryptography: Breakthroughs in Research and Practice (pp. 556-573). IGI Global.
2. Sharma, K., Mondal, J. (2020). Applications of Internet of Vehicles in Medical Sector. In Medical Internet of Things: Techniques, Practices and Applications. CRC Press.
4. Singh, A., Saroliya, A., & Mondal, J. (2020). IoT and Fog Computing Based Smart Irrigation System for the Plantation of Medicinal Plants. In Medical Internet of Things: Techniques, Practices and Applications. CRC Press.
BOOKS EDITED
1. Mondal, J., Mitra, A., Das, A. (2020). Medical Internet of Things: Techniques, Practices and Applications. CRC Press.