Jnana Ramakrishna Chodisetti, Tata Consultancy Services, India
Jnana Ramakrishna Chodisetti is a Cybersecurity Engineer at Tata Consultancy Services, specializing in malware analysis, threat hunting, and incident response. He holds a Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, where he graduated with First Class honors. Jnana’s expertise spans digital forensics, cryptography, and machine learning, with significant contributions to image encryption and malicious URL detection. His research includes developing advanced encryption algorithms and analyzing lightweight cryptographic methods for IoT. He has also gained practical experience through internships and research roles, and actively participates in cybersecurity competitions and organizations.
ORCID
Education
Jnana Ramakrishna Chodisetti earned his Bachelor of Technology in Electronics and Communication Engineering from Amrita School of Engineering, Bengaluru, India, graduating in 2023 with First Class honors and a CGPA of 7.71 on a 10.0 scale. His academic coursework covered a broad range of subjects including Computer Networks, Calculus, Probability and Random Processes, Linear Algebra, Matrix Algebra, Computer Programming, and Data Structures and Algorithms.
Jnana began his professional career as a Cybersecurity Engineer at Tata Consultancy Services in Chennai, India, starting in August 2023. In this role, he works within the DFIR – Threat Hunting unit, focusing on Malware Analysis, Threat Hunting, and Incident Response, utilizing tools such as Splunk, QRadar, and Sentinel. Prior to this, he completed an internship as a Blue Teaming Trainee with Virtual Cyber Labs, where he gained practical knowledge in threat detection and research. He also served as a Research Intern at TIFAC-CORE in Cybersecurity, Amrita Vishwa Vidyapeetham, where he worked on image encryption schemes and cryptanalysis, proposing innovative methods using Elliptic Curve Cryptography.
Research focus
Jnana’s research has primarily concentrated on advancing cybersecurity and encryption technologies. His work includes developing novel image encryption algorithms using a 3D Logistic Map and an improved Chirikov Map, as well as analyzing lightweight cryptographic algorithms for IoT environments. Additionally, his research explores efficient authenticated encryption schemes based on Elliptic Curve Cryptography, aimed at enhancing both security and authentication for digital images.
