Social Behavioral Biometrics: An Emerging Trend

2015 ◽  
Vol 29 (08) ◽  
pp. 1556013 ◽  
Author(s):  
Madeena Sultana ◽  
Padma Polash Paul ◽  
Marina Gavrilova
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Behavioral Pattern ◽  
Human Beings ◽  
Person Identification ◽  
Behavioral Biometrics ◽  
Web Based ◽  
Virtual Domain ◽  
Biometric Features

In todays world, identity of human beings has expanded beyond the real world to the cyber world. Virtual identity of millions of users is present at various web-based Social Networking Sites (SNSs) such as Myspace, Facebook, and Twitter. Interactions through SNSs have become a part of our daily practices, which eventually leaves a big trail of behavioral pattern in virtual domain. In this paper, the authors examined the feasibility of person identification using such social network activities as behavioral biometrics. Experimentation includes extraction of a number of idiosyncratic features from SNSs and analysis of their performance as novel social behavioral biometric features.

Social Behavioral Biometrics in Smart Societies

2020 ◽  
pp. 1-24
Author(s):  
Sanjida Nasreen Tumpa ◽  
K. N. Pavan Kumar ◽  
Madeena Sultana ◽  
Gee-Sern Jison Hsu ◽  
Orly Yadid-Pecht ◽  
...  
Keyword(s):  
Social Networking ◽  
Activity Patterns ◽  
Personal Characteristics ◽  
Human Communication ◽  
Person Identification ◽  
Behavioral Biometrics ◽  
Online Activity ◽  
Web Based ◽  
Rich Information ◽  
Source Of Information

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.

Online User Interaction Traits in Web-Based Social Biometrics

2014 ◽  
pp. 177-190 ◽  
Author(s):  
Madeena Sultana ◽  
Padma Polash Paul ◽  
Marina L. Gavrilova
Keyword(s):  
Social Networking ◽  
Social Networking Sites ◽  
Process Analysis ◽  
User Interaction ◽  
Personal Characteristics ◽  
Person Identification ◽  
Web Based ◽  
Spatio Temporal ◽  
Communication Needs ◽  
First Time

During the Internet era, millions of users are using Web-based Social Networking Sites (SNSs) such as MySpace, Facebook, and Twitter for communication needs. Social networking platforms are now considered a source of big data because of real-time activities of a large number of users. In addition to idiosyncratic personal characteristics, web-based social data may include person-to-person communication, profiles, patterns, and spatio-temporal information. However, analysis of social interaction-based data has not been studied from the perspective of person identification. In this chapter, the authors introduce for the first time the concept of using interaction-based features from online social networking platforms as a novel biometric. They introduce the concept of social behavioral biometric from SNSs to aid the identification process. Analysis of these novel biometric features and their potential use in various security and authentication applications are also presented. Such applications would pave the way for new directions in biometric research.

scholarly journals Online social network size is reflected in human brain structure

2011 ◽  
Vol 279 (1732) ◽  
pp. 1327-1334 ◽  
Author(s):  
R. Kanai ◽  
B. Bahrami ◽  
R. Roylance ◽  
G. Rees
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Real World ◽  
Brain Structure ◽  
Grey Matter ◽  
Online Social Network ◽  
Network Size ◽  
Matter Density ◽  
Web Based ◽  
Social Network Size

The increasing ubiquity of web-based social networking services is a striking feature of modern human society. The degree to which individuals participate in these networks varies substantially for reasons that are unclear. Here, we show a biological basis for such variability by demonstrating that quantitative variation in the number of friends an individual declares on a web-based social networking service reliably predicted grey matter density in the right superior temporal sulcus, left middle temporal gyrus and entorhinal cortex. Such regions have been previously implicated in social perception and associative memory, respectively. We further show that variability in the size of such online friendship networks was significantly correlated with the size of more intimate real-world social groups. However, the brain regions we identified were specifically associated with online social network size, whereas the grey matter density of the amygdala was correlated both with online and real-world social network sizes. Taken together, our findings demonstrate that the size of an individual's online social network is closely linked to focal brain structure implicated in social cognition.

scholarly journals Online social networks as formal learning environments: Learner experiences and activities

2012 ◽  
Vol 13 (1) ◽  
pp. 144 ◽  
Author(s):  
George Veletsianos ◽  
Cesar Navarrete
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Online Social Networks ◽  
Social Networking Sites ◽  
Learning Experience ◽  
Online Social Network ◽  
Online Course ◽  
Formal Learning ◽  
The Social

<p>While the potential of social networking sites to contribute to educational endeavors is highlighted by researchers and practitioners alike, empirical evidence on the use of such sites for formal online learning is scant. To fill this gap in the literature, we present a case study of learners’ perspectives and experiences in an online course taught using the Elgg online social network. Findings from this study indicate that learners enjoyed and appreciated both the social learning experience afforded by the online social network and supported one another in their learning, enhancing their own and other students’ experiences. Conversely, results also indicate that students limited their participation to course-related and graded activities, exhibiting little use of social networking and sharing. Additionally, learners needed support in managing the expanded amount of information available to them and devised strategies and “workarounds” to manage their time and participation.<br /><strong></strong></p>

Analyzing Social Networks to Mine Important Friends

2013 ◽  
pp. 90-104 ◽  
Author(s):  
Carson K.-S. Leung ◽  
Irish J. M. Medina ◽  
Syed K. Tanbeer
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Social Networking Sites ◽  
Web Based ◽  
The Social ◽  
Social Entity ◽  
Social Entities ◽  
Media Data ◽  
Media Mining

The emergence of Web-based communities and social networking sites has led to a vast volume of social media data, embedded in which are rich sets of meaningful knowledge about the social networks. Social media mining and social network analysis help to find a systematic method or process for examining social networks and for identifying, extracting, representing, and exploiting meaningful knowledge—such as interdependency relationships among social entities in the networks—from the social media. This chapter presents a system for analyzing the social networks to mine important groups of friends in the networks. Such a system uses a tree-based mining approach to discover important friend groups of each social entity and to discover friend groups that are important to social entities in the entire social network.

Ascertaining Trust Indicators in Social Networking Sites

2013 ◽  
Vol 3 (2) ◽  
pp. 22-37
Author(s):  
N. Veerasamy ◽  
W. A. Labuschagne
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Network Sites ◽  
Specific Focus

The use of social network sites has exploded with its multitude of functions which include posting pictures, interests, activities and establishing contacts. However, users may be unaware of the lurking dangers of threats originating from Social Networking Sites (SNS) which include malware or fake profiles. This paper investigates the indicators to arouse suspicion that a social networking account is invalid with a specific focus on Facebook as an illustrative example. The results from a survey on users’ opinions on social networks, is presented in the paper. This helps reveal some of the trust indicators that leads users to ascertaining whether a social networking profile is valid or not. Finally, indicators of potentially deceptive agents and profiles are given as a guideline to help users decide whether they should proceed with interaction with certain contacts.

Social Networking Sites

2016 ◽  
Vol 12 (4) ◽  
pp. 62-75
Author(s):  
Lydia Kyei-Blankson ◽  
Kamakshi S. Iyer ◽  
Lavanya Subramanian
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Social Networking ◽  
Survey Data ◽  
Social Networking Sites ◽  
Relationship Status ◽  
Web Based ◽  
Patterns Of Use ◽  
Midwestern University ◽  
Use Of Social Media

Social Networking Sites (SNSs) are web-based facilities that allow for social interaction, sharing, communication and collaboration in today's world. In the current study, patterns of use of social media among students at a public Midwestern university are examined. In addition, students were surveyed regarding concerns for privacy and trust and whether concerns differed by gender, ethnicity, employment and relationship status. The survey data gathered from students suggest that students mostly used SNSs from less than one hour to about 3 hours a day and for communication and maintaining relationships. Students also had academic uses for SNSs. Even though concerns for privacy and trust exist, they did not differ by gender, employment and relationship status and students are still willing to use SNSs. The findings from this research have implications for various stakeholders especially instructors who may be considering the use of SNS for academic purposes.

User-Friendly Security Patterns for Designing Social Network Websites

2017 ◽  
Vol 13 (1) ◽  
pp. 39-60 ◽  
Author(s):  
Khalid Alemerien
Keyword(s):  
Social Network ◽  
Social Networking ◽  
User Interfaces ◽  
Social Networking Sites ◽  
Development Process ◽  
Graphical User Interfaces ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Security Patterns ◽  
User Friendly

The number of users in Social Networking Sites (SNSs) is increasing exponentially. As a result, several security and privacy problems in SNSs have appeared. Part of these problems is caused by insecure Graphical User Interfaces (GUIs). Therefore, the developers of SNSs should take into account the balance between security and usability aspects during the development process. This paper proposes a set of user-friendly security patterns to help SNS developers to design interactive environments which protect the privacy and security of individuals while being highly user friendly. The authors proposed four patterns and evaluated them against the Facebook interfaces. The authors found that participants accepted the interfaces constructed through the proposed patterns more willingly than the Facebook interfaces.

Facebook Addiction: A Reply to Griffiths (2012)

2013 ◽  
Vol 113 (3) ◽  
pp. 899-902 ◽  
Author(s):  
Cecilie Schou Andreassen ◽  
Ståle Pallesen
Keyword(s):  
Social Network ◽  
Social Networking ◽  
Social Networking Sites ◽  
Social Network Sites ◽  
Future Research ◽  
Social Network Site ◽  
Network Site ◽  
Facebook Addiction ◽  
Shed Light

Our recent paper about a new Facebook addiction scale has stimulated an interesting and very welcome debate among researchers concerning the assessment of excessive use of social networking sites. The critique put forward by Griffiths (2012) is mainly built on the conception of “Facebook” as too narrow of a concept, and that assessment of addiction to social network sites in general would be more appropriate. We argue that the concept of “social network site” is not more specific than “Facebook,” so “Facebook addiction” rather than “social network addiction” is defensible. We acknowledge that more research in this area is needed and point specifically to new and important directions for future research that can shed light on the mechanism of addiction to social network sites.

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