Project

Lightweight, Privacy-Preserving and Usable Security Solutions for Internet of Things

The Internet of Things (IoT) is already pervasive and has completely transformed the world by giving us access to real-time information. However, IoT security concerns have attracted much interest from academia and industry. IoT devices are more vulnerable due to weak password settings, lack of encryption and incorrect access control, thus needing robust security measures. However, existing IoT devices do not sufficiently handle the increased security requirements posed by such vulnerabilities. Furthermore, many recent IoT device attacks have shown the need for robust security solutions to protect the developing IoT infrastructure. This dissertation develops lightweight, privacy-preserving, and usable security solutions to safeguard the IoT. Remote user and IoT device authentication being the primary concerns, authentication protocols are proposed and analyzed for IoT and its applications in Smart Home and industrial settings. Moreover, attack detection in IoT devices can also be an effective solution to secure IoT devices from cyberattacks. Further, we propose an Anomaly Detection System (ADS) to track abnormal activities and detect zero-day attacks. 

Outcome

• K Nimmy, Sankaran Sriram, Krishnashree Achuthan, Prasad Calyam, Securing remote user authentication in Industrial Internet of Things, 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC), USA 
• K Nimmy, Sriram Sankaran, Krishnashree Achuthan, Prasad Calyam, “Lightweight and Privacy-Preserving Remote User Authentication for Smart Homes”, IEEE Access, 2021 
• K Nimmy, Dilraj M, Sankaran Sriram, Krishnashree Achuthan, Leveraging power consumption for anomaly detection on IoT devices in smart homes, Journal of Ambient Intelligence and Humanized Computing, Springer, 2022