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@article{181018,
        author = {Sai Santosh Achanta},
        title = {SLA – DRIVEN APPROACHES FOR ENHANCED CLOUD DATA SECURITY},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3689-3695},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181018},
        abstract = {Cloud computing has emerged as a cost-effective solution for IT infrastructure management, yet it brings significant concerns regarding data security, privacy, and regulatory compliance. Service Level Agreements (SLAs) are essential instruments to define and manage expectations between cloud providers and customers; however, existing SLAs often emphasize performance over information security. This study aims to bridge that gap by identifying SLA-based information security metrics aligned with the COBIT framework. Through a systematic literature review (SLR), the research identifies key information security threats and attributes pertinent to cloud environments. The Goal Question Metric (GQM) approach is used to derive a set of 41 security metrics from 10 essential IT process areas within COBIT. These metrics serve as a standardized method for both cloud providers and consumers to evaluate and improve the security posture of cloud services. The study provides actionable insights into the development of more security-conscious SLAs, ultimately enhancing trust and assurance in cloud adoption.},
        keywords = {},
        month = {June},
        }