perrylongwani/My-Research-Work-PMSEA-AABS: PMSEA-AABS

A Lightweight Cryptographic Algorithm with a Multi-Purpose Encipher Key for IoT (Internet of Things (IoT) is a rapidly developing technology that has the potential to change how individuals and businesses interact. However, the actual realization of IoT technology has been hampered by numerous security and privacy concerns. Increased number of CPU clock cycles among the traditional error sensitive cryptographic algorithms is an increasing concern in IoT devices. As most IoT devices rely on batteries for power, new low power consumption algorithms are required. As a result, we have created an algorithm that uses an encipher key for more than one security concern with the goal of reducing power consumption while maintaining security. Using a synthetic dataset, this study compared the proposed algorithm's results against a synthetic algorithm. It results in less CPU time, fewer clock cycles, and higher throughput than the synthetic algorithm. Furthermore, during the encryption process, our algorithm was able to establish an encipher key that was later used to maintain message integrity. In this study, we have addressed the question of multi-purpose and power consumption.) Adaptive ASCII-Based Substitution for Lightweight Cryptography (AABS): Enhancing Security and Efficiency in Resource-Constrained Environments (The paper discusses about the low-memory cryptographic applications, adaptive ASCII-based substitution offers a powerful solution for securing data with minimal computational overhead. This study examines the effectiveness of adaptive ASCII-based substitution compared to traditional S-box methodologies, focusing on memory efficiency, software performance, and throughput. The Pop Make Shift Encipher Algorithm (PMSEA), introduced in Lightweight Cryptographic Algorithms with a Multipurpose Encipher for IoT, has been enhanced by integrating adaptive ASCII-based substitution layer, improving its suitability for handling larger data exchanges in resource constrained environments such as IoT devices. Instead of relying on S-boxes, our algorithm utilizes ASCII characters adjusted within a controlled range to prevent overflow or underflow, ensuring encryption integrity across different platforms. This range minimizes alterations while preserving data security and computational efficiency. To introduce randomness and mitigate predictable patterns, a key-driven mechanism dynamically adjusts the PMSEA substitution encryption layer. By eliminating large static tables, adaptive ASCII-based substitution significantly reduces memory consumption. Comparative analysis with S-box-based encryption highlights improvements in memory efficiency, software performance, and throughput, demonstrating its robustness for lightweight cryptographic applications in IoT and similar environments.)