Seminars

View all Seminars  |  Download ICal for this event

Enhancing Privacy and Efficiency of Distributed Encryption

Series: Ph.D. Thesis Defense

Speaker: Anirban Chakrabarti, Ph.D. (Engg) student, Department of Computer Science and Engineering,

Date/Time: Nov 11 14:00:00

Location: CSA Auditorium, (Room No. 104, Ground Floor)

Faculty Advisor: Prof. Bhavana Kanukurthi

Abstract:
This work enhances both privacy and efficiency in distributed encryption systems, which are designed to eliminate reliance on centralized trusted authorities. In these systems, users generate their own key materials and exchange information through untrusted servers. The thesis introduces a deduplication scheme tailored for distributed environments. Deduplication refers to the process by which, for example, a cloud storage provider optimizes storage space by identifying and retaining only a single copy of identical data. Performing this task securely and in a privacy-preserving manner is the challenge addressed by secure deduplication, which relies on cryptographic techniques. While prior research on secure deduplication has primarily focused on detecting and removing exact duplicates, this work enables users to share ciphertext only for redundant portions of files, thereby preserving the privacy of unique content. Specifically, the thesis presents a formal framework for fuzzy deduplication by introducing a paradigm called data-adaptive clustering, aimed at improving compression ratios. Building on this, the thesis proposes a security model, a concrete construction, and a formal security analysis for secure fuzzy deduplication, inspired by the message-locked encryption framework of Bellare et al. The efficiency of the proposed scheme is evaluated using real-world datasets??including images and genomic sequences??across multiple similarity metrics such as Hamming distance, set difference, and edit distance.

Speaker Bio:
Anirban Chakrabarti is a Ph.D. student in Cryptography at the Indian Institute of Science (IISc). Prior to his doctoral studies, he worked for several years as a software developer. He holds a Bachelors degree in Information Technology from West Bengal University of Technology. Anirbans research focuses on applied cryptography, with a particular interest in secure fuzzy matching. He is also exploring topics such as threshold encryption in distributed settings and traitor tracing schemes.