Consumer Centric Data Control, Tracking and Transparency -- A Position Paper
James Tapsell, Raja Naeem Akram, Konstantinos Markantonakis

TL;DR
This paper discusses the challenges of managing personal data privacy and control in the era of IoT and autonomous systems, proposing a framework to balance user privacy with service quality.
Contribution
It introduces the CODCA framework, a novel approach for consumer-centric data control and auditability aligned with privacy laws and emerging technologies.
Findings
Highlights the importance of data security and privacy in IoT and autonomous systems.
Proposes a comprehensive framework for balancing user privacy with service needs.
Addresses GDPR implications for personal data management.
Abstract
Personal data related to a user's activities, preferences and services, is considered to be a valuable commodity not only for a wide range of technology-oriented companies like Google, Amazon and Apple but also for more traditional companies like travel/transport, banking, entertainment and marketing industry. This has resulted in more targeted and to a great extend personalised services for individuals -- in most cases at a minimal financial cost to them. The operational reality upon which a user authorises companies to collect his/her personal data to receive, in return, more personalised/targeted/context-aware services and hassle-free activities (for users) is widely deployed. It becomes evident that the security, integrity and accessibility of the collected data are of paramount importance. These characteristics are becoming more entrenched in the era of Internet-of-Things (IoT),…
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