A5060405150- Smart Grid Security and Resilience
- Network Security and Intrusion Detection
- Infrastructure Resilience and Vulnerability Analysis
- Advanced Malware Detection Techniques
- Water Systems and Optimization
- Neural Networks and Applications
- Underwater Vehicles and Communication Systems
- EEG and Brain-Computer Interfaces
- Physical Unclonable Functions (PUFs) and Hardware Security
- Energy Efficient Wireless Sensor Networks
- Indoor and Outdoor Localization Technologies
- Muscle activation and electromyography studies
Singapore University of Technology and Design
2019-2022
Arizona State University
2022
Indian Institute of Information Technology Allahabad
2017
Indian Institute of Technology Roorkee
2016
Abstract Modern critical infrastructure, such as a water treatment plant, distribution system, and power grid, are representative of Cyber Physical Systems (CPSs) in which the physical processes monitored controlled real time. One source complexity systems is due to intra-system interactions inter-dependencies. Consequently, these potential target for attackers. When one or more infrastructure attacked, connected may also be affected cascading effects. In this paper, we report study...
Industrial Control Systems (ICS) monitor and control physical processes. ICS are found in, among others, critical infrastructures such as water treatment plants, distribution systems, the electric power grid. While existence of cyber-components in an leads to ease operations maintenance, it renders system under vulnerable cyber attacks. An experimental study was conducted with replay attacks launched on operational (WADI) plant understand what conditions attacker/attack can remain undetected...
Node Localization is the major challenge in Wireless Sensor network. The presence of measurement error and noise environment makes process localization more erroneous complicated. In this paper LLE-Isomap based manifold learning algorithm used to solve problem node localization. Results compared with various others algorithms like MDS, Isomap, LLE method PLS-Isomap. show that outperforms other techniques
The primary aim of the piece work is to classify extension and flexion positions thumb, index finger middle by use EEG Signal. Signal a human subject recorded used for offline training feedforward neural network which learn relation between motion. Six features have been extracted per sample signal over 10 channels, that is, from different regions brain. Analysis data these channels revealed certain few important then selected feature extraction network. Observations show three fingers are...