Social Behavioral Biometrics in Smart Societies

Abstract

Smart societies of the future will increasingly rely on harvesting rich information generated by day-to-day activities and interactions of its inhabitants. Among the multitude of such interactions, web-based social networking activities became an integral part of everyday human communication. Flickr, Facebook, Twitter, and LinkedIn are currently used by millions of users worldwide as a source of information, which is growing exponentially over time. In addition to idiosyncratic personal characteristics, web-based social data include person-to-person communication, online activity patterns, and temporal information, among others. However, analysis of social interaction-based data has been studied from the perspective of person identification only recently. In this chapter, the authors elaborate on the concept of using interaction-based features from online social networking platforms as a part of social behavioral biometrics research domain. They place this research in the context of smart societies and discuss novel social biometric features and their potential use in various applications.

Biometric Systems De-Identification: Current Advancements and Future Directions

“…Recent developments have expanded our traditional understanding of biometric traits from physiological and behavioral to social, temporal, emotional, sensor-based, and other auxiliary traits [19]. Definition 8.…”

“…Auxiliary Biometric Trait: All biometric traits that are not unique enough on their own for person identification can be considered as auxiliary biometric traits. Thus, spatio-temporal patterns, idiosyncratic communication styles, personality types, emotions, age, gender, clothing, and social network connectivity are all examples of auxiliary biometric traits [19].…”

“…Widespread deployment of sensors in both indoor and outdoor settings resulted in the application development based on biometric characteristics in domains such as kinesiology, physical rehabilitation, smart-home design, and search-and-rescue operations [19,75,76]. The appropriate architectural design of the biometric system can enable primary biometric identification and auxiliary biometric estimation.…”

“…Psychology: Personality traits can be revealed from the digital footprints of the users [19]. A personality trait de-identification system can be used to protect sensitive user information and implement privacy-preserving user identification systems.…”