Biometric authentication technique using smartphone sensor

Laghari, Asadullah; Waheed-ur-Rehman,; Memon, Zulfiqar Ali

doi:10.1109/ibcast.2016.7429906

Cited by 28 publications

(11 citation statements)

References 8 publications

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“…Behavior biometrics consists of behavioral traits or habits of the user, such as signature, voice, gait, and touch dynamics, which can be analyzed to determine whether it is the proper user on the device ( Teh, Teoh, & Yue, 2013 ). Biometric authentication seems to be far superior in terms of security, as compared to other types of authentication methods, because it does not employ something the user needs to carry around or remember; instead, it is who the user is or what the user has such as the fingerprint ( Laghari, Waheed-ur-Rehman, & Memon, 2016 ).…”

Section: General Authentication Methodsmentioning

confidence: 99%

User Authentication in Smartphones for Telehealth

2017

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Many functions previously conducted on desktop computers are now performed on smartphones. Smartphones provide convenience, portability, and connectivity. When smartphones are used in the conduct of telehealth, sensitive data is invariably accessed, rendering the devices in need of user authentication to ensure data protection. User authentication of smartphones can help mitigate potential Health Insurance Portability and Accountability Act (HIPAA) breaches and keep sensitive patient information protected, while also facilitating the convenience of smartphones within everyday life and healthcare. This paper presents and examines several types of authentication methods available to smartphone users to help ensure security of sensitive data from attackers. The applications of these authentication methods in telehealth are discussed.

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Section: General Authentication Methodsmentioning

confidence: 99%

User Authentication in Smartphones for Telehealth

2017

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“…Various techniques have been proposed for mobile user authentication using behavioral usage and features by taking advantage of the embedded sensors. Using sensory data, a background process continuously and implicitly captures user's behavior to perform an active and transparent authentication, e.g., using motion patterns [22], [38], [39], gait [29], [40]- [44], touch gestures [38], [45]- [48], electrocardiography (ECG) [27], keystroke dynamics [19], [47], [49], [50], voice [51]- [53], signature [54]- [56], and profiling [23], [25], [57].…”

Section: Behavioral Biometricsmentioning

confidence: 99%

“…The accelerometer provides the gravitational acceleration in three spatial dimensions (axes), x, y, and z, measured in meter per second squared, where the axes denote the vertical, and left-to-right dimensions [76]. The gyroscope measures the angular rotation Picking-up Motion Ac, Gy, Ma SVM 31 6.13% [63] Motion & keystroke Ac, Gy, Pr SVM 100 1.25% 99.13% [64] Motion Gesture Ac SVM 8 95.83% [65] In-air Handwriting LMC SVM 100 0.6% [66] In-air Handwriting Ac, Gy RF 5 32.8 † % [67] Shacking Motion Ac, Gy DTW-LSTM 150 0.1% 96.87% [68] Free-form Gesture Ac, Gy DTW 3% 0.02% 10% [69] In-air Handwriting Ac DTW * 34 2.5% [70] In-air Handwriting Ac, Gy, Or MLP 84.5% [39] Pick-up Motion Ac CC 10 1.46% 6.87% [71] Motion Gesture Ac, Gy in three dimensions, x, y, and z, in radians per second along the axes [68]. Such sensory data provides a feature space that enables the modeling of users' movement and usage; therefore, a variety of methods revolve around utilizing such data for authentication and security.…”

Section: Motion-based Authenticationmentioning

confidence: 99%

“…Early exploitation of motion sensors includes air-written signatures [39], [69] for which the user holds the device and performs an air-written signature as the application is running and recording the user's motion. Traditionally, signatures are well-known behavioral biometric commonly used for conducting official or commercial transactions [77]- [79].…”

Section: Motion-based Authenticationmentioning

confidence: 99%

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Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey

Abuhamad¹,

Abusnaina²,

Nyang³

et al. 2020

Preprint

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Mobile devices and technologies have become increasingly popular, offering comparable storage and computational capabilities to desktop computers allowing users to store and interact with sensitive and private information. The security and protection of such personal information are becoming more and more important since mobile devices are vulnerable to unauthorized access or theft. User authentication is a task of paramount importance that grants access to legitimate users at the point-of-entry and continuously through the usage session. This task is made possible with today's smartphones' embedded sensors that enable continuous and implicit user authentication by capturing behavioral biometrics and traits. In this paper, we survey more than 140 recent behavioral biometric-based approaches for continuous user authentication, including motionbased methods (27 studies), gait-based methods (23 studies), keystroke dynamics-based methods (20 studies), touch gesturebased methods (29 studies), voice-based methods (16 studies), and multimodal-based methods (33 studies). The survey provides an overview of the current state-of-the-art approaches for continuous user authentication using behavioral biometrics captured by smartphones' embedded sensors, including insights and open challenges for adoption, usability, and performance.

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“…A. [8],Proposing an authentication mechanism using the motion sensor of smart phones, authentication is done by moving. The user's phone and the movement pattern is detected on the smartphone's accelerometer Since smartphones have a built-in motion sensor, there is no need to use attached devices.…”

Section: Literature Surveymentioning

confidence: 99%

Subject Review:Authentication Techniques for Smartphone

Abdulkadhim

George

2020

IJERAT

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The rapid development of smart phone devices and users' satisfaction with them, also have storage and accounting capabilities that compete with computers. Smart phones carry a lot of personal information and important financial information, so they are vulnerable to theft or access by unauthorized persons to that information. Increased need for ways to protect that information. Smartphones have several built-in sensors that facilitate the capture of biometrics and behavioral traits This paper reviews the authentication techniques for mobile, as it covers a comprehensive survey on authentication methods and comparison between these techniques..

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Biometric authentication technique using smartphone sensor

Cited by 28 publications

References 8 publications

User Authentication in Smartphones for Telehealth

User Authentication in Smartphones for Telehealth

Sensor-based Continuous Authentication of Smartphones' Users Using Behavioral Biometrics: A Contemporary Survey

Subject Review:Authentication Techniques for Smartphone

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