Simple Lightweight Cryptographic Algorithm to Secure Imbedded IoT Devices

Abstract

The internet of things (IoT) revolution has been sparked by the exponential increase in connected devices caused by recent advances in wireless technology. These embedded devices gather, analyze, and send vast data via the network. Data transmission security is a primary problem in IoT networks. Several lightweight encryption/decryption algorithms have been developed for such resource-constraint devices. One of most effective and fast lightweight encryption algorithms for IoT applications is the Tiny Encryption Algorithm (TEA). TEA has few lines source of codes to implement and based on Feistel structure to provide cryptographic primitive confusion and diffusion features in order to hide statistical aspects of plaintext. However, it is vulnerable to assaults using equivalent and related key attacks. This study suggested modifying TEA by employing a new proposed generating keys function using two Linear Feedback Shift Registers (LFSRs) as a combination to address the security flaw caused by utilizing different keys for each round function. The key sensitivity, Avalanche effect, and a completeness test were used to evaluate its security performance. The key sensitivity of the proposed modified TEA outperforms original TEA by 50.18 % to 44.88 %. The modified TEA avalanche effect outperforms TEA by 52.57 % to 47.69 %, and its completeness test outperforms TEA by 51.75 % to 48.36 %. Experimental results indicates that, the encryption performance of proposed modified TEA is better than original TEA.

Enhancement of Tiny Encryption Algorithm for Resource-Constrained WSNs Using Four Connected Additive Fibonacci Generators

“…It can be implemented in any programming language. The encryption algorithm employs a number called "Delta", which is derived from a golden ratio [13].…”

“…A mere few lines of source code are sufficient to build TEA. However, TEA does have a limitation when it comes to key scheduling [12,13]. In general, achieving cryptographically secure keys are challenging task in lightweight cryptography due to the limitations of conducted devices [14,15].…”

POGIL Learning Model—Metaphorming for Mobile-Based Cryptography Creation

“…The art of transforming the original message into incomprehensible codes is to prevent unauthorized parties from POGIL Learning Model-Metaphorming for Mobile-Based Cryptography Creation understanding it [6]. Cryptography involves the analysis and design of mathematical techniques to secure communications from potential threats [5], [45]. Based on several descriptions, it can be concluded that cryptography is the art of creating secret codes using fundamental mathematical principles for security purposes.…”

Image encryption based on s-box and 3D-chaotic maps and secure image transmission through ofdm in rayleigh fading channel

“…For this reason, research has been conducted into developing several image encryption techniques. Chaosbased encryption research is one of these subjects [3,4]. There is a close association between chaotic systems and cryptology [5,6].…”