Cloud Native Privacy Engineering through DevPrivOps

Grünewald, Elias

doi:10.1007/978-3-030-99100-5_10

Cited by 6 publications

(1 citation statement)

References 57 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Grunewald [12] extended this previous work, illustrating how to ensure privacy in cloud-native architectures and identifying tools for privacy-friendly and agile development of largescale service infrastructures.…”

Section: Devprivops: Privacy-enabled Devopsmentioning

confidence: 86%

Privacy-Based Deployments: The Role of DevPrivOps in 6G Mobile Networks

Silva,

Cunha,

Barraca

et al. 2024

IEEE Commun. Mag.

View full text Add to dashboard Cite

The advent of the 6G brings unprecedented opportunities for connectivity and software applications. However, it also poses significant privacy challenges. In this paper, we propose the integration of DevPrivOps, a privacy engineering approach, in 6G software development to address these challenges. DevPrivOps emphasizes continuous integration, delivery, and deployment while incorporating privacy concerns from the early stages of development. This paper outlines the principles and components of DevPrivOps in the context of 6G, including privacy quantification and intelligent prediction of privacy breaches. By integrating privacy engineering in 6G software development, DevPrivOps aims to enhance the privacy level of software, prioritize privacy considerations, ensure compliance with data privacy regulations, promote transparency, optimize performance, and inform decision-making processes. The proposed methodology addresses gaps in previous DevPrivOps concepts and highlights the need for generic solutions that can quantify privacy in various software domains.

show abstract

Section: Devprivops: Privacy-enabled Devopsmentioning

confidence: 86%