International Computer Science and Engineering Society (ICSES)
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ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data
Vol. 1, No. 1, Dec. 2017
Data Centric Security and Privacy Research Issues for Intelligent Internet of Things | Miscellaneous
a Kyungil University, Kyungsan, Korea.
Highlights and Novelties
Data centric security and privacy approach lets you focus on what you really need to protect rather than the information technology (IT) networks, applications and endpoints that keep small amount of your data. Data centric security and privacy allow organizations to overcome the disconnection between IT security technology and the objectives of business strategy by relating security services to the data they implicitly protect. Protecting sensitive data can take advantage of cloud computing, mobile technology and other innovations without placing your data at risk. Traditional security and privacy defenses are no match for the mentioned data breaches that circumvent security controls and steal sensitive data. Furthermore, IT or IIoT infrastructure and sensitive data are more mobile and ubiquitous as organizations embrace cloud computing, mobility and big data analytics tools. To address the modern threats and IT or IIoT trends, we must put our efforts to innovate and devise new security and privacy approaches based on the data centric concern.
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Cite this manuscript as
Hyunsung Kim, "Data Centric Security and Privacy Research Issues for Intelligent Internet of Things," ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data (IITCIB), vol. 1, no. 1, pp. 1-2, Dec. 2017.
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