Social behavioral biometrics in smart societies

Sanjida Nasreen Tumpa, K. N.Pavan Kumar, Madeena Sultana, Gee Sern Jison Hsu, Orly Yadid-Pecht, Svetlana Yanushkevich, Marina L. Gavrilova

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Scopus citations


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.

Original languageEnglish
Title of host publicationAdvancements in Computer Vision Applications in Intelligent Systems and Multimedia Technologies
PublisherIGI Global
Number of pages24
ISBN (Electronic)9781799844457
ISBN (Print)9781799844440
StatePublished - 29 May 2020
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


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