Major objective is to design, develop and analyze the access control mechanisms and policies (based on attributes of each involved entities of the system, i.e. ABAC) which will be able to protect any resources efficiently that have been kept in the m
Development of a defense mechanism to protect a CNN model which processes malaria cell images against white-box adversarial attacks. The modified CNN involves the utilization of additional features- HOG, LBP, KAZE and SIFT along with features extract
ln this project, control theory is mainly based on non-linear octive disturbance rejection control. However, work is also carried out on odditionol control theories such os discrete IMC Controller, discrete IMC PID Controller, ond series PID Controll
The first objective is based on Ethical Hacking Demonstration in which Local server was programmed with Python in Kali Linux to respond to anyURL from the IoT device, and it responds the same way ThingSpeck.com responds when DNS spoofing is applied.
A secure scan Design-for-Test (DfT) architecture to counter the existing scan-based side-channel attacks for both standard and lightweight ciphers for IoT applications. The developed secure scan design will maintain the test capability of the convent
Developed the Secure Light Weight Face Recognition Module deployed on Raspberry PI. Implementation on FPGA is in progress. GDS-II file for a prototype is developed.
In MRI Diagnostic Systems using deep learning-based neuroimaging screening, it is a common practice to use state-of-the-art neural networks designed initially for complex, large-scale natural image screening. However, these networks, when used for br
Integrated particle swarm optimization (i-PSO) was developed. The i-PSO approach is better than traditional PSO in three ways: initialization of the population, fitness function and crossover. Using i-PSO we get the global position of the particle in
Accessibility Controls