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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
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a Kyungil University, Kyungsan, Korea
Prof. Hyunsung Kim
 Corresponding Author
 Affiliation: Kyungil University, Kyungsan, Korea
 Tel: +82-53-600-5621
 E-mail: secueye@gmail.com
2nd e-mail: kim@kiu.ac.kr  Biography: Hyunsung Kim is a professor at the Department of Cyber Security, Kyungil University, Korea from 2012. He received the M.S. and Ph.D. degrees in Computer Engineering from Kyungpook National University, Republic of Korea, in 1998 and 2002, respectively. From 2000 to 2002, he worked as a senior researcher at Ditto Technology. He had been an associate professor from 2002 to 2012 with the Department of Computer Engineering, Kyungil University. His research interests include cryptography, VLSI, authentication technologies, network security and ubiquitous computing security.
Prof. Hyunsung Kim's publications in ICSES
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This article has been retracted by International Computer Science and Engineering Society (ICSES) because of ethical misconduct, scientific distortion, or administrative error, and cannot be downloaded and used for any purpose based on the violation in ICSES Ethics in Publicationcall_made |
Retraction Note by the Editor-in-Chief
Highlights and Novelties
1- The emphasize of contemporary data breaches in Intelligent Internet of things, which are evolving and becoming increasingly more complex.
2- Traditional security and privacy defenses are no match for the contemporary breaches.
3- Researchers need to address the modern threats and IIoT trends by putting their efforts to innovate and devise new security and privacy approaches based on the data centric concern.
Manuscript Abstract
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.
Keywords
Intelligent Internet of Things Data Centric Security Security and Privacy
Copyright and Licence
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This manuscript is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).
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, vol. 1, no. 1, pp. 1-2, Dec. 2017.
For External Scientific Databeses
--BibTex--
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number="1",
pages="1-2",
year="2017",
month="12",
day="15",
publisher= "International Computer Science and Engineering Society (ICSES)",
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url="http://www.i-cses.com/files/download.php?pID=70"}
--EndNote--
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