Project

IoT Security in Resource-Constrained Devices

This project deals with security algorithms for resource-constrained Green IoT devices deployed in an outdoor environment.

Project Description

A wide-scale outdoor remote deployment involves a large number of low-cost nodes that are powered by green energy, such as solar. We deal with such a system for landslide monitoring where the tiny nodes with ultra-low memory as little as 2 KB are directly connected to the Internet using cellular networks, thereby constituting Cellular IoT’s (C-IoT). This makes them vulnerable to a wide range of Denial of Service (DoS) attacks during their collaborative communications. Further, due to memory constraints, the nodes are not able to run resource-hungry security algorithms. Existing IoT protocols also cannot offer resiliency to DoS attacks for these memory-constrained devices. We proposes the Voice Response Internet of Things (VRITHI), which addresses the above issues by using the voice channel between the nodes. To the best of our knowledge, this is the first solution in the IoT domain where both the voice and data channels are being used for collaborative communications. Evaluation results demonstrate that VRITHI is able to reduce external DoS attacks from 82–65% to less than 28% and improves real-time communications in such a memory-constrained environment. In addition, it also contributes to green IoT energy saving by more than 50% in comparison with other IoT protocols.

Publication Details

• “Resilient green cellular IoT for landslide monitoring using voice channels.”, Kumar, Sangeeth, Subhasri Duttagupta, and Venkat P. Rangan.  Journal of Sensor and Actuator Networks (2021): 59.
• Urmila, M. S., Balaji Hariharan, and Rekha Prabha. “Enabling Internet of things (IoT) security via blockchain framework.” Innovations in Computer Science and Engineering: Proceedings of 7th ICICSE (2020): 575-582.
• Urmila, M. S., Balaji Hariharan, and Rekha Prabha. “A comparitive study of blockchain applications for enhancing internet of things security.” In 2019 10th international conference on computing, communication and networking technologies (ICCCNT), pp. 1-7. IEEE, 2019.
• Karthik, A., Sangeeth Kumar, and Sethuraman N. Rao. “Security considerations for a real time Landslide Monitoring System.” In 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), pp. 1-4. IEEE, 2017.
• Kumar, Sangeeth, Preeja Pradeep, and Sumesh Kj. “Detection of spam attacks in the remote triggered WSN experiments.” In Information Science and Applications (ICISA) 2016, pp. 715-727. Singapore: Springer Singapore, 2016.
• Sangeeth, K., Preeja Pradeep, P. Rekha, P. Divya, R. D. Aryadevi, and Maneesha Sudheer. “Over the Air Programming Method for Learning Wireless Sensor Networks.” In Information Science and Applications (ICISA) 2016, pp. 555-566. Singapore: Springer Singapore, 2016.

Patent Details

• “Method of Reducing DoS Attacks Using Voice Response in IoT Systems“,  US Patent (US20210297445A1), Sangeeth Kumar, Venkat P. Rangan, Maneesha Vinodini Ramesh, Amrita Vishwa Vidyapeetham, Granted 2022-05-24