With the advent of the internet as a medium for performing businesstransactions, the need for a secure communication channel has neverbeen more paramount. The study of behavioral biometrics - theverification and/or identification of individuals based on the waythey provide information to an authentication system - originatedfrom the need for a small footprint, versatile alternative toexpensive hardware-based, or physiological, biometrics. As anemerging alternative to these traditional and more well-knownphysiological biometrics such as fingerprinting or iris scans,behavorial biometrics can offer state-of-the-art solutions toidentity management requirements as either a stand-alone system orpart of a multi-biometric security system.
Whilst there are many existing texts that focus on physiologicalbiometrics or algorithmic approaches deployed in biometrics,Behavioral Biometrics addresses a gap in the existingliterature for a text that is solely dedicated to the topic ofbehavioral biometrics. The author
* presents a thorough analysis of the latest research intowell-known techniques such as signature verification and voicerecognition, as well more recently developed and ground-breakingtechniques including keyboard/ mouse dynamics, gait analysis, odouranalysis and salinity testing, which are ever increasing inreliability;
* discusses exciting future trends that focus on thebrain-computer interface using EEG technology and may one dayenable human-machine interaction via brainwave patterns;
* describes the central applications for the technology withine-commerce and related industries, and provides a number ofcomprehensive case studies of major implementations that providethe user with a strong sense of the approaches employed in thevarious subdomains of behavioral biometrics.
* provides a comprehensive glossary of terms as well as a richset of references and websites that enable the reader to exploreand augment topics as required.
Behavioral Biometrics will appeal to graduate andpostgraduate students, as well as researchers wishing to explorethis fascinating research topic, in areas of biometrics andcomputer science including classification algorithms, patternrecognition, artificial intelligence & security and digitalforensics. In addition, it will serve as a reference for systemintegrators, CIOs, and related professionals who are charged withimplementing security features at their organization.
Kenneth Revett
Computer Engineering Computertechnik Electrical & Electronics Engineering Elektrotechnik u. Elektronik