Machine learning-based intelligent security framework for secure cloud key management


연구 분야: Safety



학회: Cluster Computing


초록

Ensuring the confidentiality, integrity, and availability of sensitive data in cloud environments relies heavily on the robust management of cryptographic keys. With the expansion of cloud usage and the increase in data volumes, ensuring the security and reliability of key management services is becoming an essential aspect of overall cloud security. These policies encompass various aspects, such as the lifecycle management of keys, controlling access, encryption protocols, and safeguarding keys, all of which collectively contribute to enhanced security and compliance with regulatory requirements. Two case studies demonstrate the application of existing frameworks in a financial institution and a healthcare organization. The paper concludes by highlighting potential applications and use cases across different industries. This study introduces a secure application management framework within the realm of cloud security called the secure policies of cloud security framework (SPCSF). SPCSF is built around the idea of implementing precise control over application permissions and encrypting REST API communications to enhance protection against malicious attacks. The framework is made up of two main parts: (i) a permission detection engine that determines whether an application's permissions are legitimate. By looking at permission manifests, byte codes, and cross-referencing permissions against a well-defined list of sensitive APIs, it accomplishes this. (ii) Registration Authorization Engine: this engine makes it easier for applications to register securely with the controller. It makes use of a suggested technique for safe authentication, allowing or denying applications access to requested REST APIs based on the level of danger they pose. With this strategy, approved and secure access to vital resources is guaranteed.


Author Profile
Shahnawaz Ahmad

Department of Computer Science and Engineering Mewat Engineering College (WAKF) Haryana Mewat India

Andorra
Author Profile
Mehfuz Shabana

School of Computer Science Engineering and Technology Bennett University Plot Nos 8-11 TechZone II 201310 Greater Noida UP India

Andorra
Author Profile
Shabana Urooj

Department of Electrical Engineering Jamia Millia Islamia Delhi 110025 India

India

📄 논문 정보

발행 연도 2024년
인용수 0
출판 국가 Andorra, India, Saudi Arabia
사이트 Springer
좋아요 수 0

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