The growth in the use of smart mobile phones and PDAs, see Figure 1, for business transactions incorporating high performance cameras has created the possibility for developing camera and image processing applications for identity verification using handheld devices. The objective is to create a reliable, portable way of identifying and authenticating individuals. Another objective is to invest...

With hundreds of millions using computers and mobile devices all over the globe, these devices have an established position in modern society. Nevertheless, most of these devices use weak authentication techniques with passwords and PINs which can be easily hacked. Thus, stronger identification is needed to ensure data security and privacy. In this paper, we will explain the employment of biome...

Authenticating users on mobile devices is particularly challenging because of usability concerns: authentication must be quick and as unobtrusive as possible. Therefore, biometric methods seem well suited for mobile phones. We evaluate both speaker and face recognition methods on offthe-shelf mobile devices concerning their accuracy, suitability for dealing with low-quality recordings, and runn...

The invention of mobile phones makes the human life easier. The purpose of this study is to identify security risks in mobile banking and to provide an authentication method for mobile banking transaction by using bio-metric mechanism. Current mobile banking authentication is challenging and identified as a major security risk. Literature review shows that customer distrusts mobile banking due ...

One characteristic that distinguishes speaker recognition (identification, verification, classification, tracking, etc.) from other biometrics is that it is designed to operate with devices and over channels that were created for other technologies and functions. That characteristic supports broad, inexpensive, and speedy deployments. The explosion of mobile devices has exacerbated the mismatch...

At-home screening systems for obstructive sleep apnea (OSA) can bring convenience to remote chronic disease management. However, the unsupervised home environment is subject spoofing and unintentional interference from household member. To improve robustness, this work presents SIENNA, an insider-resistant breathing-based authentication/pairing protocol. SIENNA leverages uniqueness of breathing...

The effectiveness of primary and secondary authentication systems on mobile devices leaves room for improvement. Device manufacturers provide security features which require users to memorize long, complex passwords and/or provide biometric information. These approaches have drawbacks which make their continued usage untenable. Users are already inundated with passwords and regularly forget ans...

A keystroke biometric classification system traditionally used on data captured from physical keyboards associated with laptops and personal computers, was extended to evaluate biometric data extracted from mobile devices. The results were compared to the results of similar studies utilizing the same data inputs. Additional results were extracted; including results tied to features native to mo...