Image Security in Cloud using hybrid Compression and Encryption Technique

Puranik, Nikhil Rajendra (2024) Image Security in Cloud using hybrid Compression and Encryption Technique. Masters thesis, Dublin, National College of Ireland.

Preview	PDF (Master of Science) Download (907kB) | Preview
Preview	PDF (Configuration Manual) Download (705kB) | Preview

Abstract

The exponential growth of cloud-based image storage demands efficient, secure, and scalable solutions for managing large volumes of image data. This research introduces the Cloud Hybrid Compatible Algorithm (CHCA), which is an advanced framework for image compression, encryption, and meta-embedding to improve storage, security, and data integrity. Using 2D-Discrete Wavelet Transform (2D-DWT) for compression and a SHABlowfish encryption model, CHCA has made developments in the aspects of compression ratio, security, and scalability. Meta-embedding using SHA-256 means that image traceability, tampering, and self-checking are possible.

Evaluation reveals that the proposed CHCA framework is more effective than current strategies in critical success factors. For JPG images, the proposed method provides an average compression ratio of about 1.43, PSNR of 40.96 dB and up to 30% overhead reduction in encryption. In the case of PNG images, the proposed CHCA achieves the average compression ratio of 0.88, PSNR of 44.92 dB, and the encryption overhead is reduced up to 6%. Unlike other approaches, CHCA provides real-time, serverless processing through AWS Lambda, which is flexible and inexpensive. The system retains high-quality image and provides adequate security against the unauthorized access and data theft. More will be done in the future to enhance the decryption process as well as to identify future uses of CHCA in complex, multiple cloud environments.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Mijumbi, Rashid UNSPECIFIED
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
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Ciara O'Brien
Date Deposited:	16 Jul 2025 10:45
Last Modified:	16 Jul 2025 10:45
URI:	https://norma.ncirl.ie/id/eprint/8142

Actions (login required)

View Item