I am an Associate Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Bombay.

Research Interests: Computer and Network Security (blockchain, IoT security, Ransomware), Wireless Networks, Indoor positioning and navigation

My Google Scholar Profile


Ongoing Course (IIT Bombay): CS224: Computer Networks


Recent Research:

1. Blockchain

NDSS Paper on Blockchain: We have come up with a novel method to implement computationally intensive smart contracts on blockchains such as those of Ethereum, Bitcoin, Hyperledger etc. NDSS is a top-tier Computer Security Conference.
Paper Details: Sourav Das, Vinay Joseph Ribeiro, Abhijeet Anand, YODA: Enabling computationally intensive contracts on blockchains with Byzantine and Selfish nodes, NDSS 2019 [arXiv link]

ICPE Paper on Blockchain: Our measurements of the Ethereum blocks and transactions show that miners can speed up block validation significantly using cached state.
Paper Details: Nitin Awathare, Sourav Das, Vinay J. Ribeiro, Umesh Bellur, RENOIR: Accelerating Blockchain Validation using State Caching, ICPE 2021

2. IoT Security

ACM Transactions paper on IoT Security: My student, Samuel Wedaj, has invented a decentralized attestation scheme for device swarms.

Paper Details: Samuel Wedaj, Kolin Paul, Vinay J. Ribeiro, DADS: Decentralised attestation of Device Swarms , ACM Transactions on Privacy and Security 2019.

3. Machine learning for Malware detection

RANSOMWARE Solution: My student, Saiyed Kashif Shaukat, has developed a multi-layered solution, implemented for Microsoft Windows, for a dreaded type of malware called Ransomware. Ransomware encrypts a user's files and asks for a ransom in order to decrypt files. The solution, called RansomWall, uses machine learning in one of its layers. The paper was presented at COMSNETS 2018 in January 2018.
Paper Details: Saiyed Kashif Shaukat, Vinay J. Ribeiro, RansomWall: A Layered Defense System against Cryptographic Ransomware Attacks using Machine Learning, COMSNETS 2018. Download Paper: IEEEXplore OR preprint

How to choose Data and Feature sets well for IoT malware detection using ML:
Paper Details: Misha Mehra, Jay N. Paranjape, Vinay J. Ribeiro Improving ML Detection of IoT Botnets using Comprehensive Data and Feature Sets, COMSNETS 2021 Download Paper: IEEEXplore



Personal Blog: Orthomolecular Medicine: the best kept secret of the medical profession



Last Updated: 3rd March, 2021