Data Ownership and Control in IoT: Legal Rights and Responsibilities

The purpose of this exploratory article is to investigate the complex geography of data power and control inside the Internet of Things (IoT) paradigm, with a particular emphasis on the legal rights and responsibilities of stakeholders. As a result of the development of Internet of Things bias, which generates huge quantities of data, the problems that surround power, access, and control have become substantially less complicated. This study elucidates the colourful bounds of data power and control by conducting a complete review of existing literature and legal structures. It takes into consideration the positions of device manufacturers, data collectors, and end-users. In a similar manner, it examines significant legal legislation and precedents, highlighting the difficulties and ambiguity that are associated with defining and administering data power rights. In addition, the study covers recently emerging issues such as data sovereignty and sequestration legislation, both of which have an additional impact on data governance in Internet of Things ecosystems. The purpose of this article is to provide clarity and assistance for governments, businesses, and individuals who are navigating the ever-changing landscape of data power and control in Internet of Things environments. This will be accomplished by outlining the legal geography and agitating implied counteraccusations.

Authors

Institutions

Publication Details

Published
2024-12-12
DOI
https://doi.org/10.1109/icses63760.2024.10910558
Citations
1
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Data Ownership and Control in IoT: Legal Rights and Responsibilities

R. N. Pal, Nishtha Acharya, Sony Kulshrestha, Lucky Vijayvargiya
1 citations
Privacy, Security, and Data Protection
1.13
article

Data Ownership and Control in IoT: Legal Rights and Responsibilities

R. N. Pal, Nishtha Acharya, Sony Kulshrestha, Lucky Vijayvargiya
article en
1 citations

Abstract

The purpose of this exploratory article is to investigate the complex geography of data power and control inside the Internet of Things (IoT) paradigm, with a particular emphasis on the legal rights and responsibilities of stakeholders. As a result of the development of Internet of Things bias, which generates huge quantities of data, the problems that surround power, access, and control have become substantially less complicated. This study elucidates the colourful bounds of data power and control by conducting a complete review of existing literature and legal structures. It takes into consideration the positions of device manufacturers, data collectors, and end-users. In a similar manner, it examines significant legal legislation and precedents, highlighting the difficulties and ambiguity that are associated with defining and administering data power rights. In addition, the study covers recently emerging issues such as data sovereignty and sequestration legislation, both of which have an additional impact on data governance in Internet of Things ecosystems. The purpose of this article is to provide clarity and assistance for governments, businesses, and individuals who are navigating the ever-changing landscape of data power and control in Internet of Things environments. This will be accomplished by outlining the legal geography and agitating implied counteraccusations.

Manipal Academy of Higher Education (IN), Institute of Chartered Financial Analysts of India (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Privacy, Security, and Data Protection
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.