Evaluating the Efficacy and Security of Steganography Techniques in Cloud Computing

Abstract

Cloud computing has revolutionized the handling, access, and storage of data. However, ensuring the security and privacy of data within cloud environments remains a significant challenge. This research offers a comprehensive examination aimed at developing a dependable steganographic technique, evaluating its effectiveness, determining its impact on cloud computing performance, and exploring potential vulnerabilities along with solutions. The primary objective is to assess how steganography influences the performance of cloud computing systems. Through performance evaluations and benchmarks, the study investigates the effects of steganography on system performance. It utilizes various file formats and sizes to simulate real-world conditions. The research also identifies potential weaknesses of the proposed steganographic method and explores strategies to mitigate these vulnerabilities. An analysis of security vulnerabilities, including potential attacks and detection techniques, leads to the formulation of effective countermeasures. The findings of this research contribute to the advancement of steganography-based data security in cloud environments. By highlighting the strengths, weaknesses, and areas for improvement of the proposed steganographic approach, the study offers insights into its impact on cloud computing systems and supports the development of robust security measures.