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A survey on internet of things security from data perspectives

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A survey on internet of things security from data perspectives
文献类型:期刊
通讯作者:Shi, WC (reprint author), Renmin Univ China, Sch Informat, Beijing, Peoples R China.
期刊名称:COMPUTER NETWORKS影响因子和分区
年:2019
卷:148
页码:295-306
ISSN:1389-1286
关键词:Internet of things; Security; Safety; Privacy; Forensics
所属部门:信息学院
摘要:As the Internet of Things (IoT) sees an increasing use in the society, the security challenge it faces is becoming more and more severe. Data collected and shared in the IoT plays an important role in the significance of the IoT. Observing from a data perspective may be of great help in understanding IoT security. Though a number of surveys on IoT security have been out there, none of them is from such a perspective. To fill the gap, this paper investigates IoT security from data perspectives. C ...More
As the Internet of Things (IoT) sees an increasing use in the society, the security challenge it faces is becoming more and more severe. Data collected and shared in the IoT plays an important role in the significance of the IoT. Observing from a data perspective may be of great help in understanding IoT security. Though a number of surveys on IoT security have been out there, none of them is from such a perspective. To fill the gap, this paper investigates IoT security from data perspectives. Combining the concept of typical IoT architectures with data life cycles, the paper proposes a three-dimensional approach to exploring IoT security, i.e., with the one-stop, multi-stop and end-application dimensions. The one-stop dimension explores IoT security by observing data on an IoT device, the multi-stop dimension by observing data among a group of IoT entities, and the end-application dimension by observing data used in IoT applications. While data may flow from IoT end-point devices through the Internet to a cloud or vice versa, the most demanding IoT-specific issues are in the space from IoT end-point devices to the border of the Internet, therefore the paper focuses on this space. The one-stop dimension discusses IoT security with respect to data that may flow from and to an end-point device. The multi-stop dimension works from the angle of data among a group of IoT entities, concerning secure communication, authentication and access control. The end-application dimension acts from the viewpoint of data usage in IoT applications, covering privacy, forensics, and social or legal challenges of the entire system. The paper makes an in-depth analysis of the latest development in IoT security by observing from data perspectives, summarizing open issues and suggesting promising directions for further research and applications of IoT security. (C) 2018 Elsevier B.V. All rights reserved. ...Hide

DOI:10.1016/j.comnet.2018.11.026
百度学术:A survey on internet of things security from data perspectives
语言:外文
被引频次:
3
人气指数:2
浏览次数:2
基金:National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61472429]; Beijing Municipal Natural Science FoundationBeijing Natural Science Foundation [4122041]; National High-Tech Research Development Program of ChinaNational High Technology Research and Development Program of China [2007AA01Z414]
作者其他论文



NAR-Miner: Discovering Negative Association Rules from Code for Bug Detection.Bian, Pan, Liang, Bin, Shi, Wenchang, et al. .ESEC/FSE'18: PROCEEDINGS OF THE 2018 26TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING. 2018, 411-422.
Cracking Classifiers for Evasion: A Case Study on the Google's Phishing Pages Filter.Liang, Bin, Su, Miaoqiang, You, Wei, et al. .PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16). 2016, 345-356.
Towards Better Security Decisions: Applying Prospect Theory to Cybersecurity.Qu, Leilei, Wang, Cheng, Xiao, Ruojin, et al. .CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS. 2019.
A Survey on Digital Forensics in Internet of Things.Hou, Jianwei, Li, Yuewei, Yu, Jingyang, et al. .IEEE INTERNET OF THINGS JOURNAL. 2020, 7(1), 1-15.
Detecting Bugs by Discovering Expectations and Their Violations (vol 45, pg 984, 2019).Bian, Pan, Liang, Bin, Zhang, Yan, et al. .IEEE TRANSACTIONS ON SOFTWARE ENGINEERING. 2020, 46(1), 113-113.

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