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THP: A Novel authentication scheme to prevent multiple attacks in SDN-based IoT network
Citation
Fang, L and Li, Y and Yun, X and Wen, Z and Ji, S and Meng, W and Cao, Z and Tanveer, M, THP: A Novel authentication scheme to prevent multiple attacks in SDN-based IoT network, IEEE Internet of Things Journal pp. 1-15. ISSN 2327-4662 (2019) [Refereed Article]
Copyright Statement
Copyright 2019 IEEE
DOI: doi:10.1109/JIOT.2019.2944301
Abstract
SDN has provided significant convenience for network providers and operators in cloud computing. Such great advantage is extending to the IoT network. However, it also increases the risk if the security of a SDN network is compromised. For example, if the network operator’s permission is illegally obtained by a hacker, he/she can control the entry of the SDN network. Therefore, an effective authentication scheme is needed to fit various application scenarios with high-security requirements. In this paper, we design, implement and evaluate a new authentication scheme called The Hidden Pattern (THP), which combines graphics password and digital challenge value to prevent multiple types of authentication attacks at the same time. We examined THP in the perspectives of both security and usability, with a total number of 694 participants in 63 days. Our evaluation shows that THP can provide better performance than the existing schemes in terms of security and usability.
Item Details
Item Type: | Refereed Article |
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Keywords: | internet of things, shoulder-surfing, password, security and privacy, IoT, SDN |
Research Division: | Information and Computing Sciences |
Research Group: | Computer vision and multimedia computation |
Research Field: | Pattern recognition |
Objective Division: | Defence |
Objective Group: | Defence |
Objective Field: | Intelligence, surveillance and space |
UTAS Author: | Cao, Z (Dr Zehong Cao) |
ID Code: | 135099 |
Year Published: | 2019 |
Web of Science® Times Cited: | 14 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2019-09-29 |
Last Modified: | 2020-05-18 |
Downloads: | 0 |
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