Overall method is to collect SELinux logs (both benign and malicious) and develop a machine learning model to identify the policy rules that are potential security threats. Using this model the research team aims to refine the policy to enhance its s
The research team explored digital biometric parameters such as skin types and moisture content, crucial fornoptimizing fingerprint sensor functionality. Public biometric data, particularly from LivDet 2015, was extensively analyzed to train and vali
Basic micro-benchmarking of L3 forwarding on HP 3500YL switch along with testing and benchmarking other end-to-end encrypted applications. The design is a much streamlined version that involves use of smart NICs to forward covert traffic (signalled v
The research team identified the bottleneck sub-blocks in the 5G crypto algorithm that uses AES-GCM. They redesigned AES-GCM algorithm with multiple variants, each working on a different objective. Each variant focuses on metrics such as performance
The system Dolphin requires running a client utility on its host, while also requiring a peer (e.g., a friend) outside the shutdown region to run a server utility. Both the peers also require mobile phones, paired to their respective hosts, through w
In this research, raspberry pi was chosen and nRF52840 devices are connected to the Raspberry pi with usb cables. It has also been confirmed that nRF52840 support Over the Air (OTA) updates to flash new images. feature could be exploited to connect m
The proposed security framework directly addresses the vulnerabilities and threats faced by UAV’s kernel during their operations. By focusing on secure boot operations, real-time system call analysis, precise authentication, and proactive malware m
The aim of this project will be to understand the cybersecurity audit process, guidelines, and benchmarks. It will then assess the process and recreate it from a human-centered design standpoint (primarily service design approaches) to produce a tool
The novelty of this proposed work is that it introduces a Digital Twin-based collaborative IDS system that can be a more suitable solution to address intrusion detection in an evolving IoMT network. With this system, multiple clusters of AI-integrate
The research team aims to identify and create CPS-specific SDN and Network Slices attack datasets in the 5G Network. At the same time, most of the datasets are generated in virtualized environments. They aim to present an efficient, fast, scalable, a