Rapidly Deployable IoT Architecture with Data Security: Implementation and Experimental Evaluation

Abstract

Internet of Things (IoT) has brought about a new horizon in the field of pervasive computing and integration of heterogeneous objects connected to the network. The broad nature of its applications requires a modular architecture that can be rapidly deployed. Alongside the increasing significance of data security, much research has focused on simulation-based encryption algorithms. Currently, there is a gap in the literature on identifying the effect of encryption algorithms on timing and energy consumption in IoT applications. This research addresses this gap by presenting the design, implementation, and practical evaluation of a rapidly deployable IoT architecture with embedded data security. Utilizing open-source off-the-shelf components and widely accepted encryption algorithms, this research presents a comparative study of Advanced Encryption Standards (AES) with and without hardware accelerators and an eXtended Tiny Encryption Algorithm (XTEA) to analyze the performance in memory, energy, and execution time. Experimental results from implementation in multiple IoT applications has shown that utilizing the AES algorithm with a hardware accelerator utilizes the least amount of energy and is ideal where timing is a major constraint, whereas the XTEA algorithm is ideal for resource constrained microcontrollers. Additionally, software implementation of AES on 8-bit PIC architecture required 6.36x more program memory than XTEA.

MICKEY 2.0.85: A Secure and Lighter MICKEY 2.0 Cipher Variant with Improved Power Consumption for Smaller Devices in the IoT

“…(The operations described above and depicted in Figures 2-4 make use of these data structures.) 1,3,4,5,6,9,12,13,16,19,20,21,22,25,28,37,38,41,42,45,46…”

“…Currently, the most effective and widely used cryptosystems, such as Advanced Encryption Standard (AES) [3], require greater computation ability as well as greater ship sizes. The non-lightweight ciphers have slower speed and low throughput [4,5]. Lightweight cryptosystems provide solutions for issues raised by implementing AES, for example, encryption speed and power consumption.Lightweight stream ciphers, for example, present a more secure solution for small devices, such as microcontrollers and RFID components, namely, RFID tags and RFID readers.…”

The Implementation Results of Identity-Based Hashing Algorithm for Iot

“…In IoT heterogeneous devices are able to remotely connect to the network on the fly necessitating the requirement of security. Monitoring an organization's security perimeter is crucial for intrusion detection to control unauthorized access [9]. Also, it is not practical for an administrator to scan each individual association request.…”

Hybrid Lightweight Proxy Re-Encryption Scheme for Secure Fog-to-Things Environment

“…The ''Things'' in IoT refers to the smart devices that have limited computing capabilities, with the ability to automatically sense and react to the working environment. IoT has greatly revolutionized our lifestyle by offering us the convenience and flexibility through innovative applications, such as smart homes, smart cities, smart vehicles, health-monitoring systems, and many other IoT applications [1].…”