Continuous Mobile Authentication Using Virtual Key Typing Biometrics

Feng, Tao; Zhao, Xi; Cărbunar, Bogdan; Shi, Weidong

doi:10.1109/trustcom.2013.272

Cited by 56 publications

(45 citation statements)

References 14 publications

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“…Authors in [24], suggested TAP (Typing authentication and protection), a virtual key based on a typing system for smart devices. There are two steps to improve the security of mobile by TAP, first is the login stage and second is the post login stage.…”

Section: A Authentication In Smartphonesmentioning

confidence: 99%

A Survey on Security for Smartphone Device

Zaidi¹,

Shah²,

Kamran³

et al. 2016

ijacsa

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Abstract-The technological advancements in mobile connectivity services such as GPRS, GSM, 3G, 4G, Blue-tooth, WiMAX, and Wi-Fi made mobile phones a necessary component of our daily lives. Also, mobile phones have become smart which let the users perform routine tasks on the go. However, this rapid increase in technology and tremendous usage of the smartphones make them vulnerable to malware and other security breaching attacks. This diverse range of mobile connectivity services, device software platforms, and standards make it critical to look at the holistic picture of the current developments in smartphone security research. In this paper, our contribution is twofold. Firstly, we review the threats, vulnerabilities, attacks and their solutions over the period of 2010-2015 with a special focus on smartphones. Attacks are categorized into two types, i.e., old attack and new attacks. With this categorization, we aim to provide an easy and concise view of different attacks and the possible solutions to improve smartphone security. Secondly, we critically analyze our findings and estimate the market growth of different operating systems for the smartphone in coming years. Furthermore, we estimate the malware growth and forecast the world in 2020.

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Section: A Authentication In Smartphonesmentioning

confidence: 99%

A Survey on Security for Smartphone Device

Zaidi¹,

Shah²,

Kamran³

et al. 2016

ijacsa

View full text Add to dashboard Cite

show abstract

“…Implicit authentication systems have been proposed based on many different features. These include systems that authenticate the user based on biometrics [36,40,42,50], accelerometers [11], gait recognition [33,23,20], call and SMS pattern [51], location pattern [10,52,9,12,53], keystroke dynamics [14,28,60,38,19,58], proximity to other devices [32,48], and touchscreen dynamics [57,16,21]. Industry products such as Sentry from AdmitOne Security 2 and BehavioMobile from BehavioSec 3 implement implicit authentication.…”

Section: Related Workmentioning

confidence: 99%

Reconciling user privacy and implicit authentication for mobile devices

Shahandashti¹,

Safa²

2015

Computers & Security

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In an implicit authentication system, a user profile is used as an additional factor to strengthen the authentication of mobile users. The profile consists of features that are constructed using the history of user actions on her mobile device over time. The profile is stored on the server and is used to authenticate an access request originated from the device at a later time. An access request will include a vector of recent measurements of the features on the device, that will be subsequently matched against the features stored at the server, to accept or reject the request. The features however include private information such as user location or web sites that have been visited. We propose a privacypreserving implicit authentication system that achieves implicit authentication without revealing information about the usage profiles of the users to the server. We propose an architecture, give a formal security model and a construction with provable security in two settings where: (i) the device follows the protocol, and (ii) the device is captured and behaves maliciously.

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“…Feng et al [33] studied mobile authentication for both the login and post login stages. They adopted text independent keystroke features comprising of keystroke time and tactile pressure from the capacitive touchscreen, with and without haptic feedback.…”

Section: Keystroke Dynamics For Mobile Devicesmentioning

confidence: 99%

A Survey on Keystroke Dynamics Biometrics: Approaches, Advances, and Evaluations

Zhong¹,

Deng²

2015

Gate to Computer Science and Research

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In this review paper we present a comprehensive survey of research efforts in the past couple of decades on keystroke dynamics biometrics. We review the literature in light of various feature extraction, feature matching and classification methods for keystroke dynamics. We also discuss recent trends in keystroke dynamics research, including its use in mobile environments, as a soft biometrics, and its fusion with other biometric modalities. We further address the evaluation of keystroke biometric systems, including traditional and new performance metrics, and list publicly available keystroke datasets for performance benchmarks to promote synergy in the research community.

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Continuous Mobile Authentication Using Virtual Key Typing Biometrics

Cited by 56 publications

References 14 publications

A Survey on Security for Smartphone Device

A Survey on Security for Smartphone Device

Reconciling user privacy and implicit authentication for mobile devices

A Survey on Keystroke Dynamics Biometrics: Approaches, Advances, and Evaluations

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