Future Security Approaches and Biometrics

Abstract

Threats to information security are proliferating rapidly, placing demanding requirements on protecting tangible and intangible business and individual assets. Biometrics can improve security by replacing or complementing traditional security technologies. This tutorial discusses the strengths and weaknesses of biometrics and traditional security approaches, current and future applications of biometrics, performance evaluation measures of biometric systems, and privacy issues surrounding the new technology.

Current State of Information Security Research In IS

“…Zviran and Haga [1999] studied the characteristics of user-selected passwords such as number of characters, frequency of changing passwords, and method of choosing passwords. Boukhonine et al [2005] provided a tutorial on how biometric technologies can be used to improve security.…”

Unveiling the Mask of Phishing: Threats, Preventive Measures, and Responsibilities

“…A common 3-factor authentication mechanism may include verification of password, OTP, and the user's finger print. Other types of biometric technologies can include face recognition, hand geometry, iris scanning, retina scanning, and voice recognition, among others [Boukhonine et al 2005]. This mechanism is suitable for those highly confidential transactions that require highest level of authentication.…”

Robust User Identification Based on Facial Action Units Unaffected by Users' Emotions

“…As a result we achieved a balanced prediction accuracy of 97.2 percent just based on the facial expressions. When we combine the biometric capture with a PIN request, which is a rule in access validation systems [2,3], we reached a very good false positive rate of only 7.633284e-06 (over 99.999 percent specificity).…”

“…Robust user identification is a precondition of modern human-computer interaction systems, in particular of autonomous robots, not only for issues of security but also for convenience [1,2].…”

“…While biometric user identification by fingerprints or pulse response is not contactless and photography-based approaches (iris, retinal, and face scans) can be tricked by previously captured images [2]- [4], we investigate the possibility of identifying a person using its specific facial expressions measured by the amount of facial action units. Since these facial action units are not only user-specific [5] but also emotion-specific [6] and emotions substantially affect a broad range of user behavior e.g.…”