Volume 11 - Volume 11
Ultra-Lightweight Block Cipher in Medical Internet of Things for Secure Machine-to-Machine Communication Using FPGA
Abstract
With the swift growth of internet applications with the Internet of Things (IoT), medical sensors and
online medical service has become mandatory part of every use case in the recent years. The health
care system has become more connected with the increasing use of IoT devices, and these medical
devices introduce vulnerabilities into health care organizations. Recently, there are significant cyberthreats against the medical IoT and some resisting elements of cryptosystem that cloud help to
combat these threats. Hence, in medical IoT, security and privacy of patients are among the major
areas of concern. However, such methods are very complex to implement in Field Programmable
Gate Array (FPGA) platforms. This paper proposes an ultra-lightweight block ciphers (ULBC) for
medical IoT applications. The first contribution of ULBC algorithm is to propose the chaotic Whale
optimization (CWO) algorithm for key management, which improves the security and reduce hardware cost by reducing the number of iteration rounds. The second contribution is to introduce
the flexible design of modified ULBC algorithm that provides an area, power and delay efficient
design with attack free feature. The flexible design avoids the reconfigurable runtime, power; and it
is surely different from existing block ciphers. Finally, the ULBC algorithm is synthesized in Xilinx
tool with different FPGA families and the performance is compared with existing lightweight ciphers
in terms of maximum clock frequency, power consumption and hardware utilization.
Paper Details
PaperID: 2104
Author's Name: Mahendra Balkrishna Salunke, Parikshit Narendra Mahalle and Gitanjali Rahul Shinde
Volume: Volume 11
Issues: Volume 11
Keywords: Medical IoT, ULBC, FPGA, Block Ciphers, CWO.
Year: 2021
Month: May
Pages: 236-251