Instructional Professor, Computer and Data Sciences
Dr. Jhansi’s work focuses on the design of hash functions in the domain of chaos-based cryptography. Her main contribution is in designing hash functions, PRBGs, and symmetric encryption schemes, keeping the design simple and transparent, and to achieve the twin goals of, (a) reducing the computational complexity and (b) being amenable to cryptanalysis.
She also has expertise in the areas of machine learning, big data analytics, and algorithms. She worked on Face mask detection using MobileNetV2 and transfer learning; predicting mental illness using machine learning classification algorithms; IPL auction player price prediction using machine learning regression algorithms; and using face recognition for attendance marking. As part of the industry-institute interaction, she collaborated with other faculty and worked on the project from Eurofins IT Solutions India Pvt Ltd to determine the risk associated with a code change in a software-using machine learning techniques.
Sagarika Behera, Jhansi Rani Prathuri, FPGA-Based Acceleration of K-Nearest Neighbor Algorithm on Fully Homomorphic Encrypted Data, Cryptography 2024, 8, 8., MDPI.
Sagarika Behera, Jhansi Rani Prathuri, Design of Novel Hardware Architecture for Fully Homomorphic Encryption Algorithms in FPGA for Real-Time Data in Cloud Computing, IEEE Access, Volume 10, Page(s): 131406 – 131418, 2022.
Kanthimathi S, P Jhansi Rani, An efficient packet dropping attack detection mechanism in wireless ad-hoc networks using ECC based AODV- ACO protocol, 2022, Wireless Networks, Springer.
Sagarika Behera, B Rekha, Pragya Pandey, B Vidya, Jhansi Rani Prathuri, Preserving the Privacy of Medical Data using Homomorphic Encryption and Prediction of Heart Disease using K-Nearest Neighbor, 2022 IEEE International Conference on Data Science and Information System (ICDSIS).
Sagarika Behera, Ashwin Kanth, Avik Adithya Suresh, CVR Ashwin, and Jhansi Rani Prathuri, Chat Application Using Homomorphic Encryption, ITM Web of Conferences 50, 01011, ICAECT 2022.
Kanthimathi S, Jhansi Rani Prathuri, A novel congestion control approach for optimal routing in Wireless Ad Hoc Networks, International Journal of Communication Systems, 2022.
Khanyisa Manzini M’25 splits her time studying remotely at Merrimack College and working as a community liaison manager for the Nelson Mandela University.
