This work aims to design and develop an anomalous power consumption automated detection tool for critical systems of Cyber-Physical Systems. Its novelty is that it detects electrical power consumption anomalies in real time and monitors power consump
In the present proposal an analytical approach based on physical laws and network theorems is sought for detection and classification of intrusions of a power network. Specific localization after detections helps in early execution of the troubleshoo
This project aims to combine multiple cryptography techniques to enhance the security of the proposed multivariate digital signature scheme. They will explore and demonstrate real-world applications for multivariate digital signature schemes such as
The proposed portal will be a step ahead of the existing solutions by enhancing search capabilities with the use of state-of-the-art AI/ML techniques. The proposed portal, on one hand, will act as a centralized database for all missing/trafficked per
The research objective is designing a patient-centric blockchain-based healthcare framework. The framework would empower patients to control their data through specific access permissions. The framework would also be tailored to demonstrate its appli
Proposing a cutting-edge approach to bolstering EV security, this project introduces an innovative solution through the integration of AI. By leveraging AI capabilities, the focus is onpioneering a robust system for the detection and prevention of cy
The novel approach here not only adds a level of security to the UAV against acoustic based attack but also devises mechanism to counter rogue drone entering into forbidden zone. This technique directly targets the internal electronic components cruc
The utilization of NOMA techniques specifically tailored for UAV communication represents a novel approach. Existing tools may not be optimized for the unique challenges posed by UAV networks, and this work aims to fill that gap.
Existing solutions are unable to detect unknown APT attacks and are limited by the crumbling of the heterogeneous threat intelligence and slow detection of threats and forensic analysis. Thus, to overcome these limitations, this research proposal aim
In environments where GPS and NAVIC signals are either weak or unavailable, the performance of drone navigation becomes particularly challenging. In such scenarios, Optical Flow Systems play a crucial role in enhancing the drone's ability to navigate
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