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Real-World Smartphone-Based Gait Recognition, Hind Alobaidi, Nathan Clarke, Fudong Li, Abdulrahman Alruban
Real-World Smartphone-Based Gait Recognition, Hind Alobaidi, Nathan Clarke, Fudong Li, Abdulrahman Alruban
Research outputs 2022 to 2026
As the smartphone and the services it provides are becoming targets of cybercrime, it is critical to secure smartphones. However, it is important security controls are designed to provide continuous and user-friendly security. Amongst the most important of these is user authentication, where users have experienced a significant rise in the need to authenticate to the device and individually to the numerous apps that it contains. Gait authentication has gained attention as a mean of non-intrusive or transparent authentication on mobile devices, capturing the information required to verify the authenticity of the user whilst the person is walking. Whilst prior …
Biometrics For Internet‐Of‐Things Security: A Review, Wencheng Yang, Song Wang, Nor Masri Sahri, Nickson M. Karie, Mohiuddin Ahmed, Craig Valli
Biometrics For Internet‐Of‐Things Security: A Review, Wencheng Yang, Song Wang, Nor Masri Sahri, Nickson M. Karie, Mohiuddin Ahmed, Craig Valli
Research outputs 2014 to 2021
The large number of Internet‐of‐Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric‐based authentication systems for IoT are discussed and classified based on different biometric …
Integration Of Biometrics And Steganography: A Comprehensive Review, Ian Mcateer, Ahmed Ibrahim, Guanglou Zhang, Wencheng Yang, Craig Valli
Integration Of Biometrics And Steganography: A Comprehensive Review, Ian Mcateer, Ahmed Ibrahim, Guanglou Zhang, Wencheng Yang, Craig Valli
Research outputs 2014 to 2021
The use of an individual’s biometric characteristics to advance authentication and verification technology beyond the current dependence on passwords has been the subject of extensive research for some time. Since such physical characteristics cannot be hidden from the public eye, the security of digitised biometric data becomes paramount to avoid the risk of substitution or replay attacks. Biometric systems have readily embraced cryptography to encrypt the data extracted from the scanning of anatomical features. Significant amounts of research have also gone into the integration of biometrics with steganography to add a layer to the defence-in-depth security model, and this has …
Security And Accuracy Of Fingerprint-Based Biometrics: A Review, Wencheng Yang, Song Wang, Jiankun Hu, Guanglou Zhang, Craig Valli
Security And Accuracy Of Fingerprint-Based Biometrics: A Review, Wencheng Yang, Song Wang, Jiankun Hu, Guanglou Zhang, Craig Valli
Research outputs 2014 to 2021
Biometric systems are increasingly replacing traditional password- and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two …
Biometrics Based Privacy-Preserving Authentication And Mobile Template Protection, Wencheng Yang, Jiankun Hu, Song Wang, Qianhong Wu
Biometrics Based Privacy-Preserving Authentication And Mobile Template Protection, Wencheng Yang, Jiankun Hu, Song Wang, Qianhong Wu
Research outputs 2014 to 2021
Smart mobile devices are playing a more and more important role in our daily life. Cancelable biometrics is a promising mechanism to provide authentication to mobile devices and protect biometric templates by applying a noninvertible transformation to raw biometric data. However, the negative effect of nonlinear distortion will usually degrade the matching performance significantly, which is a nontrivial factor when designing a cancelable template. Moreover, the attacks via record multiplicity (ARM) present a threat to the existing cancelable biometrics, which is still a challenging open issue. To address these problems, in this paper, we propose a new cancelable fingerprint template …
A Novel Privacy Preserving User Identification Approach For Network Traffic, Nathan Clarke, Fudong Li, Steven Furnell
A Novel Privacy Preserving User Identification Approach For Network Traffic, Nathan Clarke, Fudong Li, Steven Furnell
Research outputs 2014 to 2021
The prevalence of the Internet and cloud-based applications, alongside the technological evolution of smartphones, tablets and smartwatches, has resulted in users relying upon network connectivity more than ever before. This results in an increasingly voluminous footprint with respect to the network traffic that is created as a consequence. For network forensic examiners, this traffic represents a vital source of independent evidence in an environment where anti-forensics is increasingly challenging the validity of computer-based forensics. Performing network forensics today largely focuses upon an analysis based upon the Internet Protocol (IP) address – as this is the only characteristic available. More typically, …
A Comparison Of 2d And 3d Delaunay Triangulations For Fingerprint Authentication, Marcelo Jose Macedo, Wencheng Yang, Guanglou Zheng, Michael N. Johnstone
A Comparison Of 2d And 3d Delaunay Triangulations For Fingerprint Authentication, Marcelo Jose Macedo, Wencheng Yang, Guanglou Zheng, Michael N. Johnstone
Australian Information Security Management Conference
The two-dimensional (2D) Delaunay triangulation-based structure, i.e., Delaunay triangle, has been widely used in fingerprint authentication. However, we also notice the existence of three-dimensional (3D) Delaunay triangulation, which has not been extensively explored. Inspired by this, in this paper, the features of both 2D and 3D Delaunay triangulation-based structures are investigated and the findings show that a 3D Delaunay structure, e.g., Delaunay tetrahedron, can provide more feature types and a larger number of elements than a 2D Delaunay structure, which was expected to provide a higher discriminative capability. However, higher discrimination does not necessarily lead to better performance, especially in …
Insider Misuse Identification Using Transparent Biometrics, Nathan Clarke, Fudong Li, Abdulrahman Alruban, Steven Furnell
Insider Misuse Identification Using Transparent Biometrics, Nathan Clarke, Fudong Li, Abdulrahman Alruban, Steven Furnell
Research outputs 2014 to 2021
Insider misuse is a key threat to organizations. Recent research has focused upon the information itself – either through its protection or approaches to detect the leakage. This paper seeks a different approach through the application of transparent biometrics to provide a robust approach to the identification of the individuals who are misusing systems and information. Transparent biometrics are a suite of modalities, typically behavioral-based that can capture biometric signals covertly or non-intrusively – so the user is unaware of their capture. Transparent biometrics are utilized in two phases a) to imprint digital objects with biometric-signatures of the user who …
Complementary Feature Level Data Fusion For Biometric Authentication Using Neural Networks, Mark Abernethy, Shri Rai
Complementary Feature Level Data Fusion For Biometric Authentication Using Neural Networks, Mark Abernethy, Shri Rai
Australian Information Warfare and Security Conference
Data fusion as a formal research area is referred to as multi‐sensor data fusion. The premise is that combined data from multiple sources can provide more meaningful, accurate and reliable information than that provided by data from a single source. There are many application areas in military and security as well as civilian domains. Multi‐sensor data fusion as applied to biometric authentication is termed multi‐modal biometrics. Though based on similar premises, and having many similarities to formal data fusion, multi‐modal biometrics has some differences in relation to data fusion levels. The objective of the current study was to apply feature …
Applying Feature Selection To Reduce Variability In Keystroke Dynamics Data For Authentication Systems, Mark Abernethy, Shri Rai
Applying Feature Selection To Reduce Variability In Keystroke Dynamics Data For Authentication Systems, Mark Abernethy, Shri Rai
Australian Information Warfare and Security Conference
Authentication systems enable the verification of claimed identity. Password-based authentication systems are ubiquitous even though such systems are amenable to numerous attack vectors and are therefore responsible for a large number of security breaches. Biometrics has been increasingly researched and used as an alternative to password-based systems. There are a number of alternative biometric characteristics that can be used for authentication purposes, each with different positive and negative implementation factors. Achieving a successful authentication performance requires effective data processing. This study investigated the use of keystroke dynamics for authentication purposes. A feature selection process, based on normality statistics, was applied …
Deployment Of Keystroke Analysis On A Smartphone, A Buchoux, N L. Clarke
Deployment Of Keystroke Analysis On A Smartphone, A Buchoux, N L. Clarke
Australian Information Security Management Conference
The current security on mobile devices is often limited to the Personal Identification Number (PIN), a secretknowledge based technique that has historically demonstrated to provide ineffective protection from misuse. Unfortunately, with the increasing capabilities of mobile devices, such as online banking and shopping, the need for more effective protection is imperative. This study proposes the use of two-factor authentication as an enhanced technique for authentication on a Smartphone. Through utilising secret-knowledge and keystroke analysis, it is proposed a stronger more robust mechanism will exist. Whilst keystroke analysis using mobile devices have been proven effective in experimental studies, these studies have …
Device- Versus Network-Centric Authentication Paradigms For Mobile Devices: Operational And Perceptual Trade-Offs, S. Karatzouni, N. L. Clarke, S. M. Furnell
Device- Versus Network-Centric Authentication Paradigms For Mobile Devices: Operational And Perceptual Trade-Offs, S. Karatzouni, N. L. Clarke, S. M. Furnell
Australian Information Security Management Conference
The increasing capability and functionality of mobile devices is leading to a corresponding increase in the need for security to prevent unauthorised access. Indeed, as the data and services accessed via mobile devices become more sensitive, the existing method of user authentication (predominately based upon Personal Identification Numbers) appears increasingly insufficient. An alternative basis for authentication is offered by biometric approaches; which have the potential to be implemented in a non-intrusive manner and also enable authentication to be applied in an ongoing manner, beyond initial point-of-entry. However, the implementation of any authentication mechanism, particularly biometric approaches, introduces considerations of where …
Biometric Imaging: Three Dimensional Imaging Of The Human Hand Using Coded Structured Lighting, T. A. Vuori, C. L. Smith
Biometric Imaging: Three Dimensional Imaging Of The Human Hand Using Coded Structured Lighting, T. A. Vuori, C. L. Smith
Research outputs pre 2011
In this report the results of applying a three dimensional range imaging system, based on coded structured light, are presented. This includes a description of a new improved spatial coding scheme. This new scheme increases the number of reference points available and provides a basis for more accurate calculation of their location. A detailed description of the image processing methods used to extract structural information and to identify structural objects from the camera image are given. In addition the method used to calculate the locations of reference points with 'subpixel' accuracy is described. Finally, the results of experiments with synthesised …