Nirnay Ghosh
Indian Institute of Engineering Science and Technology, Shibpur, Singapore University of Technology and Design, Indian Institute of Technology Kharagpur, Heritage Institute of Technology
About
Hi, I am Dr Nirnay Ghosh, currently working as an Assistant Professor in the Department of Computer Science and Technology (CST), under Indian Institute of Engineering Science and Technology Shibpur (IIESTS). I joined here in March 2019.
Prior to this, I was a research fellow in the Research & Security Innovation Lab for IoT (ReSILIoT) under iTrust Research Center for Cyber Security, Singapore University of Technology and Design (SUTD). I worked under the mentorship of Prof. Yuval Elovici and primarily worked on privacy and access control issues related to IoT systems.
Even before that, I was a visiting faculty in the Indian Institute of Information Technology (IIIT), Kalyani, India for one semester (Spring 2018). I designed the syllabus and taught a course on "Discrete Mathematics" to BTech 2nd year students of Computer Science and Engineering (Strength: 96).
I have also worked as a postdoctoral researcher at the Missouri University of Science and Technology (MST), Rolla, USA. At MST, I worked under the mentorship of Prof. Sajal K Das and was a part of the CReWMaN research group from April 2016 to August 2017. During postdoc, my research area was participatory sensing with application in urban computing. Particularly, I looked into the issue of estimation of the quality of information and modelling of user reputation to address the gamification problem in mobile crowd sensing applications.
I completed my masters (MS-by research) and PhD from the Department of Computer Science and Engineering, IIT Kharagpur, under the supervision of Prof. Soumya K Ghosh, in the years 2010 and 2016, respectively. During masters, my broad area of research was the generation of attack graphs using AI technique, modelling network attack using the attack graphs, and finding optimal attack paths using custom security metrics. In PhD, I looked into security aspects of cloud computing, particularly in choosing the optimal cloud service provider for business offloading and also securing multi-party collaborations in a cloud environment.
Till now, I have published five papers in reputed journals and transactions, two book chapters, and 17 papers in the proceedings of international conferences and workshops. I have also worked in two sponsored projects undertaken by IIT Kharagpur in the course of my masters and PhD. The nature of duties in those projects was conducting research on network security vulnerabilities, development of a penetration testing tool for security analysis, and design and develop an attack graph-based security assessment tool for the enterprise LANs. I was also a recipient of TCS Research fellowship and was awarded the best paper award in IEEE ADCOM 2012.
Employment
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Indian Institute of Engineering Science and Technology, Shibpur Assistant Professor2019 - Present
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Singapore University of Technology and Design Research Fellow2018 - 2019
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Indian Institute of Information Technology Visiting Faculty2018 - 2018
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Missouri University of Science and Technology Postdoctoral Researcher2016 - 2017
Education
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Indian Institute of Technology Kharagpur Doctor of Philosophy2010 - 2015
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Indian Institute of Technology Kharagpur Master of Science (MS) - by research2007 - 2010
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Heritage Institute of Technology Bachelor of Technology (BTech)2002 - 2006
Projects & Funding
Projects & funding information is unavailable.
Publications (16)
- PB-PAPP: An Efficient Mechanism for Real-Time Survivor Detection in Disaster Regions Save
- D-RecSys: A Decentralized Recommendation Framework for Web 3.0-Based Content-Sharing Platforms Save
- HessianAuth: A Secure and Efficient Authentication Mechanism for Resource-Constrained IoT Networks Save
- iQUIC: An intelligent framework for defending QUIC connection ID-based DoS attack using advantage actor–critic RL Save
- BloAC: A blockchain-based secure access control management for the Internet of Things Save
- A Survey on Data-Driven Approaches for Reliability, Robustness, and Energy Efficiency in Wireless Body Area Networks Save
- iTRPL: An intelligent and trusted RPL protocol based on Multi-Agent Reinforcement Learning Save
- Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions Save
- ADRIN2.0: Enabling Post-Disaster Communication Through Adaptive Mobility-Informed Routing Save
- FabMAN: A Framework for Ledger Storage and Size Management for Hyperledger Fabric-Based IoT Applications Save