Identity Authentication Techniques Research Articles

Piezoelectric and Machine Learning Based Keystroke Dynamics for Highly Secure User Authentication

Cyber security is of significance in today’s e-commerce applications. In this article, we present a piezoelectric touch sensing supported keystroke dynamics based identity authentication technique, for providing a secure access manner to smartphones. Here, the polyvinylidene fluoride (PVDF) based piezoelectric touch panel can learn detailed force touch habits of users. With a support vector machine (SVM) algorithm, our proposed frequency domain features experimentally demonstrate a better authentication accuracy of 98.3%, compared to the traditional time domain features. The work showcases a feasible method of combining functional materials and artificial intelligence (AI) for satisfying highly secure requirements.

Visual Pattern Recognition: Identity Authentication Technology Based on Eye Movement Patterns

Existing identity authentication techniques are primarily based on passwords or physical characteristics and are therefore prone to theft and forgery. This can lead to potential security risks for identity recognition. In this paper, we propose a new identity authentication technique based on reading eye movements by introducing eye tracking technology. In this approach, a deep neural network based on multi-input architecture is used to construct a computational model. The model uses the text sequence, the fixation point sequence, and the linguistic feature as inputs, and output the recognition by a neural network. The simulation results showed a recognition accuracy of 89.9%. The eye tracking technique developed in this study may be used as a new and efficient identity authentication method. The data set used in the experiment and the associated codes have been released on GitHub.

Binary phase hopping based spreading code authentication technique

Civil receivers of Global Navigation Satellite System (GNSS) are vulnerable to spoofing and jamming attacks due to their signal structures. The Spreading Code Authentication (SCA) technique is one of the GNSS message encryption identity authentication techniques. Its robustness and complexity are in between Navigation Message Authentication (NMA) and Navigation Message Encryption (NME)/Spreading Code Encryption (SCE). A commonly used spreading code authentication technique inserts unpredictable chips into the public spreading code. This method changes the signal structure, degrades the correlation of the spreading code, and causes performance loss. This paper proposes a binary phase hopping based spreading code authentication technique, which can achieve identity authentication without changing the existing signal structure. Analysis shows that this method can reduce the performance loss of the original signal and has good compatibility with the existing receiver architecture.

Lightweight one‐time password authentication scheme based on radio‐frequency fingerprinting

The energy-constrained devices such as the mobile terminals and nodes of the Internet of Things make lightweight security schemes an urgent need. The traditional identity authentication techniques can provide protection for the user's privacy and information to a certain extent, but they suffer from heavy cost. Non-cryptographic authentication mechanisms based on the physical layer characteristics are new techniques, which have a higher security level. The recognition technique of radio transmitter based on radio-frequency fingerprint ( RFF ) is one of the non-cryptographic authentication techniques. The authors propose a lightweight one-time password (OTP) authentication scheme based on RFF (RFF-OTP), which is a novel cross-layer secure authentication scheme and can provide mutual authentication between the mobile terminal and server, by combining RFF recognition algorithm with a hash encryption algorithm. By theoretical analysis and Syverson and van Oorschot logic verification, they prove that the RFF-OTP scheme is simple, efficient, flexible and independent of trusted-party while it also can resist the cloning attack and satisfy the anonymity compared with the OTP authentication scheme. Besides, it only requires the password to log into the system in the authors' scheme in comparison to the OTP scheme that needs both ID and password for the same purpose.

Optical identity authentication technique based on compressive ghost imaging with QR code

With the rapid development of computer technology, information security has attracted more and more attention. It is not only related to the information and property security of individuals and enterprises, but also to the security and social stability of a country. Identity authentication is the first line of defense in information security. In authentication systems, response time and security are the most important factors. An optical authentication technology based on compressive ghost imaging with QR codes is proposed in this paper. The scheme can be authenticated with a small number of samples. Therefore, the response time of the algorithm is short. At the same time, the algorithm can resist certain noise attacks, so it offers good security.

Design and implementation of identity authentication model based on keystroke rhythm

Keystroke rhythm is an identity authentication technique which takes persons behaviour characteristics as the basis.The PR-RP model were analyzed,in which four critical datasets were chosen,P-P and R-R relay dataset were rebuilt,and only the keystroke characteristics of password were processed.And then,a new characteristics template was built and real-time updated,which made the data in template always be the latest characteristics,so as to improve the recognition rate of authentication.Satisfied verification effects were achieved from the experimental data.

Audio–visual person authentication using lip-motion from orientation maps

This paper describes a new identity authentication technique by a synergetic use of lip-motion and speech. The lip-motion is defined as the distribution of apparent velocities in the movement of brightness patterns in an image and is estimated by computing the velocity components of the structure tensor by 1D processing, in 2D manifolds. Since the velocities are computed without extracting the speaker’s lip-contours, more robust visual features can be obtained in comparison to motion features extracted from lip-contours. The motion estimations are performed in a rectangular lip-region, which affords increased computational efficiency. A person authentication implementation based on lip-movements and speech is presented along with experiments exhibiting a recognition rate of 98%. Besides its value in authentication, the technique can be used naturally to evaluate the “liveness” of someone speaking as it can be used in text-prompted dialogue. The XM2VTS database was used for performance quantification as it is currently the largest publicly available database (≈300 persons) containing both lip-motion and speech. Comparisons with other techniques are presented.