One of the most important Internet of Things applications is the wireless body sensor network (WBSN), which can provide universal health care, disease prevention, and control. Due to large deployments of small scale smart sensors in WBSNs, security, and privacy guarantees (e.g., security and safety-critical data, sensitive private information) are becoming a challenging issue because these sensor nodes communicate using an open channel, i.e., Internet. We implement data integrity (to resist against malicious tampering) using the secure hash algorithm 3 (SHA-3) when smart sensors in WBSNs communicate with each other using the Internet. Due to the limited resources (i.e., storage, computation, and communication capabilities) of sensors in WBSNs, a lightweight implementation of SHA-3 is needed. To address this challenge, we propose a new implementation of the SHA-3, which has a compact hardware architecture. Our implementation of SHA-3 consists of a reliable logic structure, random access memory, and an enhanced finite state machine. The simulation on a Vitrtex-5 field programmable gate array shows that the proposed implementation is suitable for the WBSN on different applications. We evaluate the sensor area of the proposed SHA-3 implementation and compare it with other recently proposed hardware implementations of SHA-3. In addition, our hardware implementation approach reduces the area by almost 74.7% compared with the recently proposed hardware implementation which has the smallest area.
Digital Object Identifier (DOI)
This work was supported in part by the National Natural Science Foundation of China under Grant 61501333, Grant 61572379, Grant 61572370, and Grant U1536204, in part by the National High-Tech Research and Development Program of China (863 Program) under Grant 2015AA016004, and in part by the Natural Science Foundation of Hubei Province of China under Grant 2015CFB257.
Yang, Yi; He, Debiao; Kumar, Neeraj; and Zeadally, Sherali, "Compact Hardware Implementation of a SHA-3 Core for Wireless Body Sensor Networks" (2018). Information Science Faculty Publications. 53.