Economic perspective analysis of protecting big data security and privacy

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...

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Main Authors:	Tao, Hai, Md Zakirul Alam, Bhuiyan, Rahman, Md. Arafatur, Wang, Guojun, Tian, Wang, Md. Manjur, Ahmed
Format:	Article
Language:	English
Published:	Elsevier 2019
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/24907/ http://umpir.ump.edu.my/id/eprint/24907/ http://umpir.ump.edu.my/id/eprint/24907/ http://umpir.ump.edu.my/id/eprint/24907/1/1.1%20Economic%20perspective%20analysis%20of%20protecting%20big%20data%20security%20and%20privacy.pdf

id	ump-24907
recordtype	eprints
spelling	ump-249072019-10-11T08:47:12Z http://umpir.ump.edu.my/id/eprint/24907/ Economic perspective analysis of protecting big data security and privacy Tao, Hai Md Zakirul Alam, Bhuiyan Rahman, Md. Arafatur Wang, Guojun Tian, Wang Md. Manjur, Ahmed QA76 Computer software 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. Elsevier 2019-09 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/24907/1/1.1%20Economic%20perspective%20analysis%20of%20protecting%20big%20data%20security%20and%20privacy.pdf Tao, Hai and Md Zakirul Alam, Bhuiyan and Rahman, Md. Arafatur and Wang, Guojun and Tian, Wang and Md. Manjur, Ahmed (2019) Economic perspective analysis of protecting big data security and privacy. Future Generation Computer Systems, 98. pp. 660-671. ISSN 0167-739X https://doi.org/10.1016/j.future.2019.03.042 https://doi.org/10.1016/j.future.2019.03.042
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Tao, Hai Md Zakirul Alam, Bhuiyan Rahman, Md. Arafatur Wang, Guojun Tian, Wang Md. Manjur, Ahmed Economic perspective analysis of protecting big data security and privacy
description	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.
format	Article
author	Tao, Hai Md Zakirul Alam, Bhuiyan Rahman, Md. Arafatur Wang, Guojun Tian, Wang Md. Manjur, Ahmed
author_facet	Tao, Hai Md Zakirul Alam, Bhuiyan Rahman, Md. Arafatur Wang, Guojun Tian, Wang Md. Manjur, Ahmed
author_sort	Tao, Hai
title	Economic perspective analysis of protecting big data security and privacy
title_short	Economic perspective analysis of protecting big data security and privacy
title_full	Economic perspective analysis of protecting big data security and privacy
title_fullStr	Economic perspective analysis of protecting big data security and privacy
title_full_unstemmed	Economic perspective analysis of protecting big data security and privacy
title_sort	economic perspective analysis of protecting big data security and privacy
publisher	Elsevier
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24907/ http://umpir.ump.edu.my/id/eprint/24907/ http://umpir.ump.edu.my/id/eprint/24907/ http://umpir.ump.edu.my/id/eprint/24907/1/1.1%20Economic%20perspective%20analysis%20of%20protecting%20big%20data%20security%20and%20privacy.pdf
first_indexed	2023-09-18T22:37:57Z
last_indexed	2023-09-18T22:37:57Z
_version_	1777416721955553280

Economic perspective analysis of protecting big data security and privacy

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