Project Title: Energy Efficient Intrusion Detection System for Zigbee based Wireless Sensor Networks using Machine Learning Techniques
Team Members
Principal Investigators:
Dr. G. Padmavathi, Dean - PSCS, Professor - Department of Computer Science
Dr. V. Sasirekha, Assistant Professor (SS), Department of Physics
Co - Principal Investigators:
Dr. D. Shanmugapriya, Assistant Professor and Head, Department of Information Technology
Dr. D. Nethra Pingala Suthishni, Assistant Professor, Department of Information Technology
Project Summary
ZigBee-based WSNs are now widely employed in a variety of real-world applications, including sustainable control, military applications, healthcare, logistics, habitat monitoring, and home security networks. Apart from consumer and industry adoption, one of the primary problems of ZigBee-based WSNs is security. Despite the fact that the ZigBee communication protocol has many appealing features such as low cost, low power consumption, and low complexity, ZigBee-based WSNs are vulnerable to a variety of security attacks due to the open nature of the wireless communication channels and the deployment of nodes in hostile environments. As a result, security is a pre-requisite for these networks. Although security solutions like as authentication, cryptography, or key management approaches improve the security of ZigBee-based WSNs, they are not appropriate for resource-constrained networks, and they also require more energy for attack detection. Because standard cryptography-based security measures are ineffective against such attacks, a practical security defence technique called Intrusion Detection System is required to strengthen the security of ZigBee-based WSNs. As a result, a unique and lightweight energy efficient IDS for resource restricted ZigBee-based WSN is needed. Machine Learning algorithms can be employed in this project to classify intrusions and to enhance the security features in the sensor network. A robust and energy efficient IDS that can identify the probe and Denial of Service (DoS) attacks is proposed for protection of ZigBee-based wireless sensor networks.
