High-Performance Data Compression-Based Design for Dynamic IoT Security Systems

Abstract

IoT technology is evolving at a quick pace and is becoming an important part of everyday life. Consequently, IoT systems hold large amounts of data related to the user of the system that is vulnerable to security breaches. Thus, data collected by IoT systems need to be secured efficiently without affecting the IoT systems’ performance and without compromising security as well. In this paper, a high-performance dynamic security system is introduced. The system makes use of the ZedBoard’s dynamic partial reconfiguration capability to shift between three distinct cipher algorithms: AEGIS, ASCON, and DEOXYS-II. The switching between the three algorithms is performed using two different techniques: the algorithm hopping technique or the power adaptive technique. The choice of which technique to be used is dependent on whether the system needs to be focused on performance or power saving. The ciphers used are the CAESAR competition finalists that achieved the greatest results in each of the three competition categories, where each cipher algorithm has its own set of significant characteristics. The proposed design seeks to reduce the FPGA reconfiguration time by the application of LZ4 (Lempel-Ziv4) compression and decompression techniques on the ciphers’ bitstream files. The reconfiguration time decreased by a minimum of 38% in comparison to the state-of-the-art design, while the resource utilization increased by approximately 2%.

Efficiency and Security Evaluation of Lightweight Cryptographic Algorithms for Resource-Constrained IoT Devices

“…According to Nayak, Swapna [ 4 ], attention must be paid to the overhead complexity of network resources due to large-scale connectivity and group key management policies when considering using cryptographic algorithms for IoT applications. It is therefore suggested to use a group of cryptography algorithms called lightweight cryptographic algorithms (LWCs) that utilize low power and resources, thereby reducing overhead resource requirements for securing these devices efficiently and effectively [ 5 ].…”