The Ethical Issues of Location-Based Services on Big Data and IoT

Abstract

Both Internet of Things (IoT) and big data are hot topics in recent years. They indeed have brought about the change of business, promoted the progress of science and technology, and facilitated the lives of human beings. IoT creates the opportunity to connect every item to the Internet, and countless science and technology have supported the achievement of this goal. LBS is one of the indispensable technologies. It brings significant benefits to the business community, the individual, the society, and the national defense. However, at the same time, an individual’s personal information is disclosed and even attacked by ‘information thieves’. An inevitable reality is that the prerequisite of getting a location service is to expose your position first. Therefore, the privacy-related ethics issues are generated, and the danger is imminent, although there are corresponding protective measures.

Publication DOI: https://doi.org/10.1007/978-981-33-6141-6_20
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Funding Information: This work is supported by VC Research (VCR 0000082).
Additional Information: © Springer Nature B.V. 2021. The final publication is available at Springer via http://dx.doi.org/10.1007/978-981-33-6141-6_20 Funding Information: This work is supported by VC Research (VCR 0000082).
Event Title: 1st International Conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2020
Event Type: Other
Event Dates: 2020-09-15 - 2020-09-17
Uncontrolled Keywords: Big Data,Ethical issues and challenges,IoT,Location-Based Services (LBS),Decision Sciences(all),Computer Science(all)
ISBN: 9789813361409, 978-981-33-6141-6
Last Modified: 22 Apr 2024 07:36
Date Deposited: 13 Jun 2022 14:52
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://link.sp ... 81-33-6141-6_20 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2021-04-01
Authors: Chang, Victor (ORCID Profile 0000-0002-8012-5852)
Mou, Yeqing
Xu, Qianwen Ariel

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