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 Type:	Refereed Article
Keywords:	internet of things, shoulder-surfing, password, security and privacy, IoT, SDN
Research Division:	Information and Computing Sciences
Research Group:	Artificial Intelligence and Image Processing
Research Field:	Pattern Recognition and Data Mining
Objective Division:	Defence
Objective Group:	Defence
Objective Field:	Intelligence
UTAS Author:	Cao, Z (Dr Zehong Cao)
ID Code:	135099
Year Published:	2019
Web of Science® Times Cited:	5
Deposited By:	Information and Communication Technology
Deposited On:	2019-09-29
Last Modified:	2020-05-18
Downloads:	0