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Security and privacy challenges of big data adoption: a qualitative study in telecommunication industry

Anawar, Syarulnaziah and Othman, Nur Fadzilah and Selamat, Siti Rahayu and Ayop, Zakiah and Harum, Norharyati and Abdul Rahim, Fiza (2022) Security and privacy challenges of big data adoption: a qualitative study in telecommunication industry. International Journal of Interactive Mobile Technologies, 16 (19). pp. 81-97. ISSN 1865-7923


Official URL: http://dx.doi.org/10.3991/ijim.v16i19.32093


The telecommunication industry is the leading industry in big data trends as this industry has the most capable infrastructure for big data. However, the adoption of big data in telecommunication services also raises important security and privacy challenges due to the high volume, velocity, and variety of big data characteristics. To address the issue, this study shed light on the security and privacy challenges of big data adoption in the telecommunication industry. This study focuses on investigating the security and privacy challenges for data users in telecommunication services from the lens of the technological, organisational, and environmental (TOE) framework and examines the mitigation strategies to address the privacy and security challenges. This study is conducted using a focus group qualitative methodology. From the perspectives of data users (telecommunication providers), it could be concluded that data management, data privacy, data compliance, and regulatory orchestration challenges are the most pressing concerns in big data adoption. This study offers contributions in presenting a thematic classification of security and privacy challenges and their mitigation strategies for big data adoption in the telecommunication industry. The thematic classification highlights potential gaps for future research in the big data security domain. This study is significant in that it provides empirical evidence for the perspectives of telecommunication data users in addressing privacy and security issues that are related to big data adoption.

Item Type:Article
Uncontrolled Keywords:big data, privacy, security, telecommunication, toe framework
Subjects:H Social Sciences > HD Industries. Land use. Labor
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
Divisions:Razak School of Engineering and Advanced Technology
ID Code:98628
Deposited By: Yanti Mohd Shah
Deposited On:25 Jan 2023 17:44
Last Modified:25 Jan 2023 17:44

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