Hello, I am
Arindam Ghosh
Junior Research Fellow in Cryptography
I am a JRF student at the Indian Statistical Institute, Kolkata, working on the cryptanalysis of Multivariate Public Key Cryptography (MPKC) within the broader landscape of post-quantum cryptography.
My work sits at the intersection of finite field algebra, multivariate polynomial systems and computational hardness.
AG
02 — Research
Research Interests
My research focuses on understanding the algebraic structure underlying multivariate cryptosystems and exploiting it to assess their real-world security in the post-quantum era.
Multivariate Public Key Cryptography
Studying the hardness of solving systems of multivariate polynomial equations over finite fields, and the design and cryptanalysis of MPKC schemes.
Post-Quantum Cryptography
Exploring cryptographic primitives that are believed to be secure against quantum adversaries, with a focus on standardisation and practical security analysis.
Algebraic Cryptanalysis
Applying Gröbner basis methods and algebraic techniques to assess the concrete security of cryptographic schemes.
Computational Complexity
Investigating the theoretical foundations of hard problems that underpin cryptographic security assumptions.
03 — Academics
Education & Background
My academic journey has been shaped by a deep curiosity about the mathematical structures underlying secure communication.
Junior Research Fellow (JRF) · Ph.D. Programme
Indian Statistical Institute, Kolkata — Cryptology & Security Research Unit
Focus: Cryptanalysis of Multivariate Public Key Cryptography
Advisor: Dr. Mriganka Mandal
Summer Internship
Indian Institute of Tropical Meteorology, Pune
Topic: Influence of Initial Conditions in Global Forecast System model (GFS T1534) for predicting heavy and extreme rainfall over India
Advisor: Dr. Malay Ganai
M.Sc. Mathematics
Indian Institute of Technology Jodhpur
M.Sc. project topic: Trail search algorithms for block ciphers
Advisor: Dr. Bimal Mandal
B.Sc. Mathematics
Presidency University, Kolkata
Class 3 to 12
Howrah Zilla School
Conferences & Schools
Indocrypt 2025 and National Workshop on "CipherStorm: Unlocking Digital Security"
International Institute of Information Technology (IIIT) Bhubaneswar
04 — Projects
Projects
A mix of research-adjacent work, technical explorations, and side projects.
M.Sc. Project — Trail Search Algorithms for Block Ciphers
This project investigates trail search algorithms for block ciphers, with a focus on identifying optimal differential trails to enhance cryptographic security. Using the lightweight MIDORI cipher as a case study, the research analyzes AES-like structures and implements two key algorithms: the Difference Distribution Table method and Matsui’s depth-first search technique.
The report also investigates permutation characteristics in AES-like block ciphers, concentrating on how linear layers composed of permutation matrices influence the structure and equivalence of differential trails. We define and analyze the concept of permutation characteristics and leverage their properties to reduce redundancy in trail search algorithms.
By identifying equivalence classes via first-round word-wise permutations, we construct reduced activity patterns that significantly reduce the search space. These methods provide computational tools to evaluate the resistance of block ciphers to differential cryptanalysis and highlight opportunities to refine and adapt the algorithms to various cipher designs.
Influence of Initial Conditions on Extreme Rainfall Prediction
Summer Internship · Indian Institute of Tropical Meteorology, Pune · May–July 2024
This project investigated how the choice of model initialization time (00Z, 06Z, 12Z) affects the accuracy of heavy and extreme rainfall forecasts over India using the Global Forecast System (GFS T1534). Analyzed 10 extreme rainfall events from 2020–2023 monsoon seasons, comparing Day-1 and Day-2 GFS forecasts against IMD-GPM observed rainfall data and ERA5 reanalysis. Examined atmospheric dynamics — horizontal divergence, moisture convergence, and vertical velocity — to understand forecast failures and successes. Key finding: the GFS model consistently underestimates rainfall intensity, and 06Z initialization produced the best forecasts in the majority of cases.
Read report (PDF) →06 — Contact
Get in Touch
I am always happy to discuss research, potential collaborations, or questions about post-quantum cryptography and more. Feel free to reach out.
📍 Cryptology & Security Research Unit · Indian Statistical Institute · 203 B.T. Road, Kolkata 700108, India