Review of Key Management and Distribution Technique for Data Dynamics for Storage Security in Cloud Computing

Kumar, Dharam Raj; Sheetalani, Jitendra

doi:10.9790/0661-1903013849

Cited by 1 publication

(1 citation statement)

References 26 publications

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“…Dharam Raj Kumar et al [9] conducted an experimental assessment of key generation techniques in cloud data storage over the internet. Their study identifies several issues with existing cryptographic methods used for data storage and retrieval, such as latency, key management overhead, and vulnerability to attacks.…”

Section: Literature Reviewmentioning

confidence: 99%

Continuous Integration for New Service Deployment and Service Validation Script for Vault

Raj

2024

IJSREM

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Modern cloud-native applications demand robust security measures to safeguard sensitive data such as passwords, API keys, and encryption keys. Managing these secrets securely within Kubernetes clusters presents a significant challenge. In response, this project proposes a comprehensive solution leverag- ing HashiCorp Vault, Kubernetes, and Docker to enhance secret management and strengthen overall security posture.HashiCorp Vault serves as a centralized secrets management tool, provid- ing encryption, access control, and auditing functionalities. By integrating Vault with Kubernetes, secrets can be dynamically generated, securely stored, and automatically injected into ap- plication pods at runtime. This approach reduces the exposure of sensitive information within containerized environments and mitigates the risk of unauthorized access. The project architecture involves deploying Vault within the Kubernetes cluster, utilizing Docker containers for seamless encapsulation and portability. Kubernetes’ native integrations with Vault, such as the Kubernetes Auth method and the Vault Agent Injector, streamline the authentication and authorization processes, ensuring secure communication between applications and Vault. The project involves deploying Vault in Kubernetes for secrets management, ensuring High Availability. It focuses on generating, storing, and managing secrets securely, leveraging Vault’s dynamic secrets engine for automatic rotation. Integration with Kubernetes employs authentication methods like Service Accounts and RBAC for granular access control. Dockerization ensures application consistency and portability, with Vault Agent containers enabling seamless secret injection. Security best practices, including least privilege access and encryption, are prioritized, along with regular auditing and monitoring. Overall, the project aims to establish a robust secrets management solution within Kubernetes while empha- sizing resilience, security, and compliance in handling sensitive information. Index Terms—Docker, DevOps, CI/CD, Automation, Secrets, Kubernetes, Vault, Security

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Section: Literature Reviewmentioning

confidence: 99%

Continuous Integration for New Service Deployment and Service Validation Script for Vault

Raj

2024

IJSREM

View full text Add to dashboard Cite

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Review of Key Management and Distribution Technique for Data Dynamics for Storage Security in Cloud Computing

Cited by 1 publication

References 26 publications

Continuous Integration for New Service Deployment and Service Validation Script for Vault

Continuous Integration for New Service Deployment and Service Validation Script for Vault

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