Mouse movement behavioral biometric systems

Hamid, Nazirah Abd; Safei, Suhailan; Satar, Siti Dhalila Mohd; Chuprat, Suriayati; Ahmad, Rabiah

doi:10.1109/iuser.2011.6150566

Cited by 9 publications

(8 citation statements)

References 6 publications

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“…Different promising approaches to reduce the burden of explicit authentication have been explored. Transparent biometrics can verify the user's identity unobtrusively [28,46,50] using traits like gait [39], mouth motions [52], heartbeat [56], breathing acoustics [4], voice [42], mouse movement [15], and keystroke dynamics [29]. Risk estimation can be used to dynamically adjust the security settings to apply as much security as needed but as little as possible [19,27].…”

Section: Introductionmentioning

confidence: 99%

Cormorant

Hintze

Füller

Scholz

et al. 2019

Proceedings of the 17th International Conference on Advances in Mobile Computing &Amp; Multimedia

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This paper presents the design and open source implementation of CORMORANT, an Android authentication framework able to increase usability and security of mobile authentication. It uses transparent behavioral and physiological biometrics like gait, face, voice, and keystrokes dynamics to continuously evaluate the user's identity without explicit interaction. Using signals like location, time of day, and nearby devices to assess the risk of unauthorized access, the required level of confidence in the user's identity is dynamically adjusted. Authentication results are shared securely, end-to-end encrypted using the Signal messaging protocol, with trusted devices to facilitate cross-device authentication for co-located devices, detected using Bluetooth low energy beacons. CORMORANT is able to reduce the authentication overhead by up to 97% compared to conventional knowledge-based authentication whilst increasing security at the same time. We share our perspective on some of the successes and shortcomings we encountered implementing and evaluating CORMORANT to hope to inform others working on similar projects. CCS CONCEPTS• Security and privacy → Multi-factor authentication; Usability in security and privacy; Biometrics.

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Section: Introductionmentioning

confidence: 99%

Cormorant

Hintze

Füller

Scholz

et al. 2019

Proceedings of the 17th International Conference on Advances in Mobile Computing &Amp; Multimedia

View full text Add to dashboard Cite

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“…Various research approaches have been introduced in the existing literature to explore feasibility in continuous authentication throughout the user login session and the non-intrusive authentication process to analyze frequent user interaction with the system. Recent trends in the existing literature have shown that user identities can be validated through multiple Behaviometrics, such as keystroke dynamics, CPU and RAM usage [39], mouse movements [40], accelerometers [41] fingerprints [42], and browsing behavior [43]. A detailed description of such an authentication process based on Behaviometrics can be found in the existing literature [44][45][46].…”

Section: ) Behaviometrics Authenticationmentioning

confidence: 99%

“…Most of the existing solutions are not focused on determining that most wearable devices do not provide a suitable interface for password-based authentication [23]- [26]. • Most studies have not focused on the practical implementation of frictionless authentication techniques in web-based applications [36]- [39].…”

Section: Problem Descriptionmentioning

confidence: 99%

A Frictionless and Secure User Authentication in Web-Based Premium Applications

Olanrewaju

Khan²,

Morshidi

et al. 2021

IEEE Access

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By and large authentication systems employed for web-based applications primarily utilize a conventional username and password-based schemes, which can be compromised easily. Currently, there is an evolution of various complex user authentication schemes based on the sophisticated methodology of encryption. However, many of these schemes suffer from either low impact full consequences or offer security at higher resource dependence. Furthermore, the majority of these schemes don't consider dynamic threat and attack strategies when the clients are exposed to unidentified attack environments. Hence, this paper proposes a secure user authentication mechanism for web applications with a frictionless experience. An automated authentication scheme is designed based on user behaviour login events. The uniqueness of user identity is validated in the proposed system at the login interface, followed by implying an appropriate user authentication process. The authentication process is executed under four different login mechanisms, which depend on the profiler and the authenticator function. The profiler uses user behavioural data, including login session time, device location, browser, and details of accessed web services. The system processes these data and generates a user profile via a profiler using the authenticator function. The authenticator provides a login mechanism to the user to perform the authentication process. After successful login attempts, the proposed system updates database for future evaluation in the authentication process. The study outcome shows that the proposed system excels to other authentication schemes for an existing web-based application. The proposed method, when comparatively examined, is found to offer approximately a 10% reduction in delay, 7% faster response time, and 11% minimized memory usage compared with existing authentication schemes for premium web-based applications.

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“…As we discussed earlier, different nondeterministic source methods will produce a true random number. It is possible to regard the mouse system as a random source [24]. There are two dimensions of the operation of a mouse unit on the screen, the X-axis and Y-axis corresponding to the coordinates of the mouse cursor on a surface at a given point.…”

Section: Mouse Movementmentioning

confidence: 99%

True Random Number Generator Based on nondeterministic Device and Multi dimension Chaos Theory

Farhan¹,

sabeeh²,

Al-Adhami³

2021

Al-Qadisiyah Journal of Pure Science

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There have been strong links between chaotic theory and cryptographic theory for the last three decades. The characterization of behaviors of the Chaotic system, such as: highly responsive to initial states, mixing attributes, deterministic existence, and often unable to predict long-term returns, allows researchers improve the security of cryptography systems. As a result, there are growing numbers of experiments that have been proposed using chaotic-based random number generators. Furthermore, These proposed generators suffer from minimal key space and those centered on a 1D chaotic map have limited capacity to produce entropy due to their limited number of exponents of Lyapunov (s). Random binary sequence generator producing sequence of bits has been proposed in this paper. The proposed system model consists of two parts that use mouse device data constructively as the basis for the theory of non-determinism and chaos. The chaos theory includes three forms with the mouse cursor coordinates while moving as the initial seeds in this proposed system (1D logistic chaotic system, 2D Hénon system and 3D chaotic system) and combines the values produced in the algorithm. With 1D, 2D Hénon, 3D chaotic maps, the mouse cursor coordinates are treated as an initial random number with post processing to increase the randomness and security of the keys. In the suggested research, there is high key space and a very long time. It is also evident that the developed keys have successful statistical features that require purely random binary sequences that are optimal for use in essential cryptography systems provided by evaluating the results of 16 NIST hardness tests (National Institute of Standards and Technology).

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Mouse movement behavioral biometric systems

Cited by 9 publications

References 6 publications

Cormorant

Cormorant

A Frictionless and Secure User Authentication in Web-Based Premium Applications

True Random Number Generator Based on nondeterministic Device and Multi dimension Chaos Theory

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