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Status已发表Published
TitleEconomic perspective analysis of protecting big data security and privacy
Creator
Date Issued2019-09-01
Source PublicationFuture Generation Computer Systems
ISSN0167-739X
Volume98Pages:660-671
Abstract

This paper investigates the economic perspective analysis of protecting security and privacy of big data. Traditionally, the pressing cyberthreats appear from emailed attachments. Recently, cyberattacks increasingly stealing or compromising data and are the potentials for physical damage to critical infrastructure. The risks of the data breach or compromised data collection are often favored by potential financial benefits (e.g., blackmail, fraud, false information, intellectual property thefts, business competition). That is, an important factor for current and future economical investments is due to the motivation of cybercrime activities. In this paper, we first analyze a question about our effort on security and privacy in terms of economic perspectives. That is, do we need to protect big data in a secure, private, and most effective manner, while the growing amount of security threats, attacks, and data breaches together with the increasing market for security products arises? Secondly, we perform the investigation from several perspectives: the economic perspective of big data security and privacy, investment decisions, fighting cybercrimes through big data, and cyberinsurance for big data. Our objective is to provide economic justification of technical decisions taken to protect the big data and the amount of costs that organizations often spend for it.

KeywordBig data Cost analysis Cyberinsurance Cybersecurity Economic perspectives Privacy
DOI10.1016/j.future.2019.03.042
URLView source
Indexed BySCIE ; SSCI
Language英语English
WOS Research AreaComputer Science
WOS SubjectComputer Science, Theory & Methods
WOS IDWOS:000503818800063
Scopus ID2-s2.0-85064260173
Citation statistics
Cited Times:47[WOS]   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
Identifierhttp://repository.uic.edu.cn/handle/39GCC9TT/7125
CollectionResearch outside affiliated institution
Corresponding AuthorBhuiyan, Md Zakirul Alam
Affiliation
1.School of Computer Science, Baoji University of Art and Science, 721007, China
2.Department of Computer and Information Sciences, Fordham University, 10458, United States
3.Faculty of Computer Systems & Software Engineering, University Malaysia Pahang, 26600, Malaysia
4.The School of Computer Science and Educational Software, Guangzhou University, 510006, China
5.Department of Computer Science and Technology, Huaqiao University, 361021, China
6.Department of Computer Science & Engineering, University of Barishal, 8200, Bangladesh
7.Business School,Lanzhou City University,730000,China
Recommended Citation
GB/T 7714
Tao, Hai,Bhuiyan, Md Zakirul Alam,Rahman, Md Arafaturet al. Economic perspective analysis of protecting big data security and privacy[J]. Future Generation Computer Systems, 2019, 98: 660-671.
APA Tao, Hai., Bhuiyan, Md Zakirul Alam., Rahman, Md Arafatur., Wang, Guojun., Wang, Tian., .. & Li, Jing. (2019). Economic perspective analysis of protecting big data security and privacy. Future Generation Computer Systems, 98, 660-671.
MLA Tao, Hai,et al."Economic perspective analysis of protecting big data security and privacy". Future Generation Computer Systems 98(2019): 660-671.
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