The research addresses the critical issue of generalizability in deepfake detection algorithms. By diversifying training data, employing transfer learning, and exploring metric learning methodologies, the proposed work aims to enhance adaptability to
The proposed work showcases novelty in both research and engineering aspects. The team introduces a new one-after-another modular approach to filter out LoRa Chirps and authenticate devices sending such chirps. Additionally, we implement this approac
The most vulnerable section of the automotives is CAN (Controller Area Network), which connects many important components of the automotives. Hacker can insert the malicious CAN node into the network and corrupt the data or induce the denial-of-servi
The transition of crypto systems from classical to machine assisted and subsequent trajectory of machine ciphers has enhanced cryptanalysis complexity. The adaptation of computational side of cryptanalysis is the way forward. This present project add
Explore the design of a novel protocol covert for decentralized data-auditing to assist FOG-CPS systems. The novel protocol will use a public blockchain to address the stated problem.
Develope a comprehensive Multi-Authority Attribute-Based Access Control framework specifically designed for collaborative IoT ecosystems.The framework incorporates novel mechanisms for distributed policy management, automated conflict resolution, pri
The team propose to explore the usage of LLMs in improving the robustness of ML models deployed in medical imaging. They will develop an open-source environment that can be used for such robustness analysis.
Develope an indigenously communication network infrastructure for Microgrid hardware setup. This can be used to analyse the cybersecurity challenges and vulnerabilities associated with the microgrid.
Build a viable, practical, streamlined, user-friendly blockchain-based solar trading platform that is also scalable. This will be used by all especially in the rural areas, to trade solar energy without always relying upon the main grid for power or
“explainable solution” for detecting lung pneumonia in patients through chest radiographs. Development of COMiT-Net which performs the tasks of classification and segmentation simultaneously.
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