Abstract

Graphical passwords are a method of authentication in computer security. Computer security is one of the disciplines of computer science. Shoulder-surfing attacks are a well-known threat to graphical passwords, although is getting commonly used especially in granting access for a secure system. Shoulder-surfing occurs when attackers skillfully capture important data/activities, such as login passwords, via direct observation or video recording methods. Many methods have been proposed to overcome the problem of shoulder-surfing attacks. After we reviewed some related works, we found out that most of the existing methods are still vulnerable to multiple observations and video-recorded shoulder-surfing attacks. Thus, we propose a new method to combat this problem. In our proposed method, we make used of two concepts to combat shoulder-surfing attacks. In the first concept, we used registered locations (something that only the users know) and 5 image directions (something that the users can see) to determine a pass-location (new knowledge). Secondly, the images used in our proposed method have higher chances to offset each other. The idea of offset could increase the password spaces of our proposed method if an attacker intended to guess the registered location used. By combining these two concepts, the pass-location produced by our proposed method in each challenge set could be varied. Therefore, it is impossible for the attackers to shoulder-surf any useful information such as the images/locations clicked by the user in each challenge set. A user study was conducted to evaluate the capabilities of the proposed method to prevent shoulder-surfing attacks. The shoulder-surfing testing results indicated that none of the participants were able to login, although they knew the underlying algorithm and they have been given sufficient time to perform a shoulder-surfing attack. Therefore, the proposed method has proven it can prevent shoulder-surfing attacks, provided the enrolment procedure is carried out in a secure manner.

Highlights

  • In recent years, authentication has become very important

  • The shoulder-surfing testing results indicated that none of the participants was able to login they knew the underlying algorithm and they have been given sufficient time to perform shoulder-surfing attacking

  • The user study results have shown that the proposed method that uses pass-location concept could resist direct observation, multiple observations and video-recorded shoulder-surfing attacks regardless of gender

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Summary

Introduction

Authentication has become very important. Authentication is used to secure systems so that only legitimate users can access them. Token-based authentication relies on what the users possess (e.g., ID card) to perform authentication, biometric-based authentication relies on users’ attributes (e.g., thumbprint) to perform authentication, while knowledge-based authentication relies on what the users know (e.g., alphanumeric password) to perform authentication [1,2,3,4,5,6,7,8,9,10,11,12]. A secure password must be random and easy to remember [1]. A secure password that is made up of a random string (e.g., upper and lower cases, used special characters, must have at least eight characters long) is difficult for users to memorise. The graphical password was introduced as an alternative to help users to memorise their password better [15]

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