Privacy and Innovation in IoT: Legal, Ethical, and Entrepreneurial Perspectives

Privacy is a major concern in the era of connected technologies, especially with the exponential growth of Internet of Things (IoT) devices that collect sensitive personal data. This paper, titled Privacy Protection in IoT Data Collection, explores how entrepreneurs can address these concerns through privacy-preserving technologies, compliance with national and international laws, and the strategic use of intellectual property rights (IPR). Ensuring the privacy and security of this data is paramount to building trust and encouraging widespread adoption of IoT technologies. The paper examines various privacy challenges associated with IoT data collection, including data ownership, unauthorized access, and data misuse. It also reviews existing privacy-preserving techniques such as data anonymiza- tion, encryption, and access control mechanisms. Furthermore, the paper discusses emerging approaches like edge computing and federated learning that offer promising solutions for enhancing privacy in IoT environments. Through a comprehensive analysis of current methodologies and future trends, this paper aimsto provide insights into developing robust privacy protection frameworks for IoT data collection.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-07-05
DOI
https://doi.org/10.22214/ijraset.2025.72885
Primary Topic
Digital Transformation in Law
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Privacy and Innovation in IoT: Legal, Ethical, and Entrepreneurial Perspectives

Chitra B T
1 links
International Journal for Research in Applied Science and Engineering Technology
Digital Transformation in Law
article

Privacy and Innovation in IoT: Legal, Ethical, and Entrepreneurial Perspectives

Chitra B T
article en

Abstract

Privacy is a major concern in the era of connected technologies, especially with the exponential growth of Internet of Things (IoT) devices that collect sensitive personal data. This paper, titled Privacy Protection in IoT Data Collection, explores how entrepreneurs can address these concerns through privacy-preserving technologies, compliance with national and international laws, and the strategic use of intellectual property rights (IPR). Ensuring the privacy and security of this data is paramount to building trust and encouraging widespread adoption of IoT technologies. The paper examines various privacy challenges associated with IoT data collection, including data ownership, unauthorized access, and data misuse. It also reviews existing privacy-preserving techniques such as data anonymiza- tion, encryption, and access control mechanisms. Furthermore, the paper discusses emerging approaches like edge computing and federated learning that offer promising solutions for enhancing privacy in IoT environments. Through a comprehensive analysis of current methodologies and future trends, this paper aimsto provide insights into developing robust privacy protection frameworks for IoT data collection.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(7)
Openalex Percentile: Top 74%
Digital Transformation in Law
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.