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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | Generating cloud monitors from models to secure clouds |
| Authors Name: | Dr K VIJAYA BHASKAR , G.Madhavi , K .Banu Prakash Reddy , M .Teja |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_207213
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| Published Paper Id: | IJNRD2310276 |
| Published In: | Volume 8 Issue 10, October-2023 |
| DOI: | |
| Abstract: | In the era of cloud computing, ensuring the security and reliability of cloud environments is of paramount importance. This paper proposes a novel approach for enhancing cloud security through the generation of cloud monitors derived from models. The core concept revolves around the transformation of abstract cloud models into concrete monitoring mechanisms, thereby enabling proactive threat detection and mitigation. Our methodology leverages model-driven engineering techniques to create an adaptable and extensible framework for generating cloud monitors. By representing cloud infrastructures, configurations, and behaviors as formal models, we establish a foundation for automated monitor generation. These models serve as blueprints, allowing us to derive specific monitoring components tailored to individual cloud instances. The resulting cloud monitors not only bolster security by continuously assessing the cloud's state but also enhance the overall manageability of cloud environments. Furthermore, the abstraction-to-monitor transformation facilitates the rapid adaptation of security measures to evolving cloud architectures and threat landscapes. This research contributes to the field of cloud security by presenting a forward-looking approach that bridges the gap between model-driven engineering and cloud monitoring. The effectiveness and scalability of our method are demonstrated through empirical evaluations, highlighting its potential to strengthen cloud security while reducing the operational burden on cloud administrators. Ultimately, this paper presents a promising avenue for enhancing the resilience and trustworthiness of cloud computing in an ever-evolving digital landscape. |
| Keywords: | Forward-looking, Model-driven security, Cloud monitors, Operational Efficiency |
| Cite Article: | "Generating cloud monitors from models to secure clouds", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 10, page no.c697-c709, October-2023, Available :http://www.ijnrd.org/papers/IJNRD2310276.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2310276 Registration ID: 207213 Published In: Volume 8 Issue 10, October-2023 DOI (Digital Object Identifier): Page No: c697-c709 Country: Chennai, TamilNadu, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2310276 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2310276 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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