Projects

Funded Projects and Awards

• Programmable cryptosystem for 5G telecommunication networks, Rinku Shah (PI), Praveen Tamanna (co-PI) and Sumit Darak (co-PI), C3iHub, IIT Kanpur, 2023-2026 (Grant amount: ₹32 lakh)
• Siegebreaker II: End-to-middle Covert Internet Communication Using Programmable Network Hardware (Deceptive Communication Strategies), Sambuddho Chakravarty (PI) and Rinku Shah (co-PI), C3iHub, IIT Kanpur, 2023-2026 (Grant amount: ₹28 lakh)
• FastCrypt – a smart security hardware for data centers, Rinku Shah (PI), NIDHI PRAYAS Program at IIITD Innovation & Incubation Center (IIITD-IC), 2023-2024 (Grant amount: ₹7 lakh)
• Real-time Traffic Surveillance: With cities trying to reduce traffic accidents and improve traffic flow, hundreds of thousands of traffic cameras are currently deployed in major cities for traffic surveillance. However, processing such data in real-time is still challenging, due to the cost of bandwidth as well as hardware. In this project, we look at how to process such large data at a minimal cost by designing lightweight filtering algorithms, as well as utilization of low-powered edge devices.
• Modeling of Edge Compute Infrastructure: While edge computing has become increasingly relevant to satisfy the demand for low-latency based compute services, the hardware used in edge computing has become extremely complex. This is due to the incorporation of processing units such as graphical processing units, neural processing units and field processing gate arrays. Our focus is on designing better abstraction models to identify which processing units should be used for such computation, and the tradeoffs involved in them. This would enable both lower latency and more energy-efficient computation.
• Spectrum Monitoring: With spectrum getting expensive, it is essential to monitor its usage and protect it from illegal users. Current state-of-the-art techniques deploy sensors using crowdsourcing. However, running each sensor costs energy and data. This project looks at various techniques of improving accuracy of spectrum monitoring while keeping its cost low.
• Computation Offloading: With a large number of small devices being connected to the Internet, it is essential for applications running on them to utilize the capability of more powerful devices located nearby or the cloud. A key issue is to determine the location of execution of each component of the applications, while ensuring that the latency and energy requirements of execution are satisfied. Current studies depend on heuristics which may provide poor results for different applications, or some optimization solver which may take a long time to compute. In contrast, we propose algorithms that both improve the performance of offloaded applications in actual applications, as well as provide some performance guarantees. We validate our approach using trace-driven simulations.
• 360 Video Streaming: Although 360 videos are becoming popular, streaming them over wireless networks is still challenging. A key reason for this problem is that a lot of the data downloaded is not seen by the viewer and is, therefore, wasted. In this project, we combine state-of-the-art computer vision techniques and bitrate adaptation algorithms to make streaming over wireless networks feasible. By integrating our technique with an off-the-shelf 360 video player, we show that significant data savings can be made without much loss of user Quality of Experience.
• Design and Development of a Sustainable Video Streaming Framework over Low and Very Low Bandwidth Networks, Mukulika Maity (PI) and Sandip Chakraborty IIT KGP (co-PI), Core Research Grant (CRG), DST/SERB, 2022-2025
• Internet Data over the Cellular Voice Channel -- Deceptive Communication Strategies, Mukulika Maity (PI) and Sambuddho Chakravarty (co-PI), C3i Hub, IIT Kanpur, 2023-2026
• Optimal Allocation of Traffic to Links in Multi-link Operation of WiFi 7, Arista Networks, 2022-2023
• Un-traceable and un-blockable real-time internet telephony, Sambuddho Chakravarty (PI) and Mukulika Maity (Co-PI), National Security Council (NSC), 2020-2024
• Solution Approaches for Improving WiFi Performance in Dense Settings, Early Career Research Award (ECR), DST/SERB, 2019-2022
• POWER: Platform for Open WLAN Experimentation and Research, Dr. Samar Agnihotri, IIT Mandi (PI), Dr. Venkatesh Ramaiyan, IIT Madras (Co-PI), Prof. Joy Kuri, IISC Bangalore (Co-Pi), Mukulika Maity (Co-PI), Industry partnet Arista Networks (formerly known as Mojo Networks), IMPRINT-2, DST/SERB, 2019-2022