Security and Privacy of performing Data Analytics in the cloud - A three-way handshake of Technology, Policy, and Management
Nidhi Rastogi, Marie Joan Kristine Gloria, James Hendler

TL;DR
This paper examines security and privacy challenges in cloud data analytics, proposing a holistic approach involving technology, policy, and management to address concerns and enhance trust in cloud services.
Contribution
It introduces a comprehensive framework combining technology, policy, and management to improve security and privacy in cloud data analytics.
Findings
Identifies key security and privacy issues in cloud data exchange.
Proposes integrated solutions across technology, policy, and management.
Highlights the potential for holistic approaches to improve trust in cloud analytics.
Abstract
Cloud platform came into existence primarily to accelerate IT delivery and to promote innovation. To this point, it has performed largely well to the expectations of technologists, businesses and customers. The service aspect of this technology has paved the road for a faster set up of infrastructure and related goals for both startups and established organizations. This has further led to quicker delivery of many user-friendly applications to the market while proving to be a commercially viable option to companies with limited resources. On the technology front, the creation and adoption of this ecosystem has allowed easy collection of massive data from various sources at one place, where the place is sometimes referred as just the cloud. Efficient data mining can be performed on raw data to extract potentially useful information, which was not possible at this scale before. Targeted…
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Taxonomy
TopicsCloud Data Security Solutions · Privacy-Preserving Technologies in Data · Privacy, Security, and Data Protection
