ASSET: A Parallel Lightweight Cryptographic Framework for IoT and Cloud Security

Shivashankaramurthy, Amrutha (2025) ASSET: A Parallel Lightweight Cryptographic Framework for IoT and Cloud Security. Masters thesis, Dublin, National College of Ireland.

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Abstract

Lightweight cryptography is very important for securing Internet of Things (IoT) environments which demands encryption models that balance performance, diffusion and latency. Traditional models like Advanced Encryption Standard (AES) while highly secure, suffer from high computational costs, making them less suitable for real-time IoT applications. Lightweight alternatives such as SPECK and SIMON gives better performance but compromise on security and avalanche effect. Traditional models proposed a modified AES-based lightweight cryptographic scheme (LWC-AES) that partially addressed performance issues by removing MixColumns and using continued fractions. However, their approach remained sequential, resulting in persistent latency and reduced diffusion. This study introduces a novel parallel hybrid cryptographic model that combines AES, SPECK, and SIMON (ASSET) in a multi-threaded architecture. Unlike prior layered methods, this model encrypts plaintext in parallel segments, drastically reducing latency and enhancing diffusion through diversified cipher strengths—AES for security, SPECK for speed, and SIMON for diffusion. It has been implemented using Python, Flask and AWS Cloud9. The model performs good than LWC-AES in encryption/decryption speed, avalanche effect and CPU usage. This study gives a scalable and secure cryptographic solution for high performance, real-time cloud and IoT environments.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Lugones, Diego UNSPECIFIED
Uncontrolled Keywords:	Lightweight Cryptography; Diffusion; Cloud; Internet of Things (IoT); SPECK; SIMON
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing Q Science > QA Mathematics > Computer software > Computer Security T Technology > T Technology (General) > Information Technology > Computer software > Computer Security T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunications > Computer networks > Internet of things
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	25 Nov 2025 17:55
Last Modified:	25 Nov 2025 17:55
URI:	https://norma.ncirl.ie/id/eprint/8960

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