Survey of Privacy-Preserving Mechanisms and Compliance Frameworks for Secure Cloud Adoption

Abstract

Abstract—Digital data and improved computing
technologies have expanded exponentially, prompting an
increased rate of adoption of up-and-coming IT resource
delivery models. One of them has become prominent, cloud
computing which comprises on-demand storage, application,
and processing power of the virtualized environments. The
cloud model is based on some fundamental characteristics like
scalability, elasticity and pay-per-use and these characteristics
save organizations a lot of money as well as provide high levels
of flexibility in operations. Concerns about privacy, security,
and regulatory compliance arise when critical data is stored in
the cloud by unaffiliated third parties. Several privacypreserving techniques (PPMs) have been suggested, including
cryptography, anonymization, homomorphic encryption, and
secure multi-party computations, to ensure long-term adoption
and establish confidence. Consistent with this trend, data
governance and regulatory compliance are receiving formal
frameworks from international compliance models such as
GDPR, HIPAA, and NIST standards. The foundations,
mechanisms, and compliance frameworks that underpin the
secure adoption of clouds are reviewed in this survey paper. It
focuses on interconnection between privacy-protective
technologies and regulatory needs, their effectiveness and
drawbacks, and also outlines the upcoming issues. The debate
seeks to point academia and industry the way to secure, privacysensitive and regulation-compliant cloud ecosystems