T. Sarkar

Self-Healing Cybersecurity Framework using Generative Artificial Intelligence for Autonomous Network Recovery

Traditional cybersecurity technologies have difficulty adapting to the increasing sophistication and numbers of cyberattacks. Typically, traditional technologies use manual interventions and static rules to defend against cyberattacks; therefore, they are limited in their ability to adapt and respond quickly to changin...

Neuro-Symbolic Artificial Intelligence for Context-Aware Cyber Threat Detection in Autonomous Networks

Enhancing Energy Efficiency in Wireless Sensor Networks through Genetic Algorithm-Based Routing Approaches

Modern technological systems rely heavily on Wireless Sensor Networks (WSNs), which support many kinds of applications, including but not limited to: (1) environmental monitoring (2) medical monitoring and (3) smart city/infrastructure development. One major problem with extending the overall life of the network is the...