Biometric Authentication on Mobile Devices

Mayron, Liam M.

doi:10.1109/msp.2015.67

Cited by 28 publications

(15 citation statements)

References 4 publications

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“…With the increasing use of smartphones, users have begun to worry about the confidentiality of their data and information. As smartphones are intended for quick and recurrent access, it can lead to compromised privacy of smartphone data and information [ 3 ]. It has now become critical to maintain the privacy of sensitive data and information available through these devices using non-intrusive yet viable authentication mechanisms.…”

Section: Introductionmentioning

confidence: 99%

Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing

Ehatisham-ul-Haq

Azam

Loo

et al. 2017

Sensors

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Smartphones are context-aware devices that provide a compelling platform for ubiquitous computing and assist users in accomplishing many of their routine tasks anytime and anywhere, such as sending and receiving emails. The nature of tasks conducted with these devices has evolved with the exponential increase in the sensing and computing capabilities of a smartphone. Due to the ease of use and convenience, many users tend to store their private data, such as personal identifiers and bank account details, on their smartphone. However, this sensitive data can be vulnerable if the device gets stolen or lost. A traditional approach for protecting this type of data on mobile devices is to authenticate users with mechanisms such as PINs, passwords, and fingerprint recognition. However, these techniques are vulnerable to user compliance and a plethora of attacks, such as smudge attacks. The work in this paper addresses these challenges by proposing a novel authentication framework, which is based on recognizing the behavioral traits of smartphone users using the embedded sensors of smartphone, such as Accelerometer, Gyroscope and Magnetometer. The proposed framework also provides a platform for carrying out multi-class smart user authentication, which provides different levels of access to a wide range of smartphone users. This work has been validated with a series of experiments, which demonstrate the effectiveness of the proposed framework.

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Section: Introductionmentioning

confidence: 99%

Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing

Ehatisham-ul-Haq

Azam

Loo

et al. 2017

Sensors

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“…Smartphones and mobile devices equipped with progressive sensors such as high-resolution cameras, digital compasses, gyroscopes, accelerometers, positioning systems provide a wide platform for researchers to enhance built in functions of these devices [8]. In [9] described smartphones as small, portable and powerful device that serve users with multiple task. With the development of mobile devices and the 3G mobile network, smartphones have assumed an important role in our life.…”

Section: Smartphonesmentioning

confidence: 99%

A Survey of User Preferences on Biometric Authentication for Smartphones

Zabidi¹,

Norowi²,

Rahmat³

2018

IJET

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The search for improving users’ security needs, awareness and concerns in the context of mobile phones still has been conducting in today’s society. Biometric systems identify a person or verify the identity of a person using purportedly unique physical traits or behaviour of that individual. In order to understand user requirements for biometric authentication, it is important to focus on several key issues, including the importance of smartphones in implementing biometric authentication, users’ general knowledge and perception towards biometric authentication, and users’ trust and practice when using different biometric technology for securing their smartphone’s data. A preliminary study in the form of an online survey was conducted. The idea of this study was to conduct a survey on users about their general knowledge and perceptions towards different biometric authentication on smartphones. The results of the study indicate that smartphone is an important tool in implementing biometric authentication. Moreover, users knew what biometric technology is and they are not reluctant to use them. Furthermore, users knew how to protect their smartphone’s data and practice the related preventions. The results are expected to give an insight of deploying biometric technology into mobile devices and further researching onto others biometric authentication.

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“…Identity based authentication has been considered for proving the ownership [55], [61].Digital signature, is a major identification technique [58] where the overhead of CA is there. But however biometric identification can be considered as the most unique method of identification [60], [64] and is more suitable than the conventional login id and password methods [68].…”

Section: Need For the Proposed Modelmentioning

confidence: 99%

Biometric Based Security Model for Cloud Computing Using Image Steganography

Anuradha¹,

Pandit²

2017

IJARCSSE

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Abstract-Information security has become an important issue, in the field of networking and in the emerging technologies like cloud computing. Cloud computing has become the modern alternative approach of sharing the computational resources around the globe. Though there is a hike in this trend, security of the outsourced data has become the most challenging issue. Thus securing of the data under communication as well as in the storage, is vital. Different approaches have been proposed by several researchers for enhancing the security thorough a combined technique of rich encryption and steganography. Also it has been accepted that Biometric identification is the best way of authenticating the owner of the data. For biometric identification finger prints, iris, palm, face and other personal information's can be used as unique ID's as a proof of authentication. The idea is to secure transformation and to maintenance of data. On the other side, image steganography has been proved to have better features in terms of security, capacity, robustness and integrity than the other types of information hiding techniques. In order to provide the security in the cloud computing it is must to have a clear understanding of the cloud computing, its environment, the architecture, various security concerns, the existing breach holes and an in-depth analysis of image steganography. Thus combining image steangography with biometrics and most advanced cryptographic and compression techniques, a more suitable and robust technique can be modelled for providing a better solution to the said problem.

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Biometric Authentication on Mobile Devices

Cited by 28 publications

References 4 publications

Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing

Authentication of Smartphone Users Based on Activity Recognition and Mobile Sensing

A Survey of User Preferences on Biometric Authentication for Smartphones

Biometric Based Security Model for Cloud Computing Using Image Steganography

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