Social engineering in social networking sites: Affect-based model

Jiang, Yue; Lin, Jie; Čukić, Bojan; Lin, Shan; Hu, Zhijian

doi:10.1109/icist.2013.6747602

Cited by 13 publications

(20 citation statements)

References 77 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It has been argued that in social networking sites, there are three main sources in the user's profile that cybercriminals use to reach their victims, content, friendship connections, and privacy settings [20]. A network's privacy and security settings are important measures to protect the user.…”

Section: Social Engineering In Social Networkmentioning

confidence: 99%

User characteristics that influence judgment of social engineering attacks in social networks

Albladi

Weir

2018

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

Social engineering is a growing source of information security concern. Exploits appear to evolve, with increasing levels of sophistication, in order to target multiple victims. Despite increased concern with this risk, there has been little research activity focused upon social engineering in the potentially rich hunting ground of social networks. In this setting, factors that influence users’ proficiency in threat detection need to be understood if we are to build a profile of susceptible users, develop suitable advice and training programs, and generally help address this issue for those individuals most likely to become targets of social engineering in social networks. To this end, the present study proposes and validates a user-centric framework based on four perspectives: socio-psychological, habitual, socio-emotional, and perceptual. Previous research tends to rely on selected aspects of these perspectives and has not combined them into a single model for a more cohesive understanding of user’s susceptibility.

show abstract

Section: Social Engineering In Social Networkmentioning

confidence: 99%

User characteristics that influence judgment of social engineering attacks in social networks

Albladi

Weir

2018

Hum. Cent. Comput. Inf. Sci.

View full text Add to dashboard Cite

show abstract

“…Algarni et al [18] propose a social engineering schema to describe threats in social networks. The schema covers the environment, the attacker, the trick, and the victims.…”

Section: Related Workmentioning

confidence: 99%

Security analysis of socio-technical physical systems

Lenzini

Mauw

Ouchani

2015

Computers & Electrical Engineering

View full text Add to dashboard Cite

a b s t r a c tRecent initiatives that evaluate the security of physical systems with objects as assets and people as agents -here calledsocio-technical physical systems -have limitations: their agent behavior is too simple, they just estimate feasibility and not the likelihood of attacks, or they do estimate likelihood but on explicitly provided attacks only. We propose a model that can detect and quantify attacks. It has a rich set of agent actions with associated probability and cost. We also propose a threat model, an intruder that can misbehave and that competes with honest agents. The intruder's actions have an associated cost and are constrained to be realistic. We map our model to a probabilistic symbolic model checker and we express templates of security properties in the Probabilistic Computation Tree Logic, thus supporting automatic analysis of security properties. A use case shows the effectiveness of our approach.

show abstract

“…Algarni et al (2013) examine social engineering threats on social networking sites and inquire the questions of "which entities exist and how do they effect social engineering in social networking sites?" It is concluded in their study that the success of social engineering attacks is affected by the characteristics of four main entities: the online social network (the environment), the social engineer (the attacker), the plan and technique (the trick), and the online social network user (the victim).…”

Section: General Social Engineering Attacksmentioning

confidence: 99%

“…To analyze social engineering attacks, the entities (e.g., environment, attacker, trick and victim) need to be identified and their roles should be investigated (Algarni et al, 2013). Algarni et al (2013) examine social engineering threats on social networking sites and inquire the questions of "which entities exist and how do they effect social engineering in social networking sites?"…”

Section: General Social Engineering Attacksmentioning

confidence: 99%

A Survey of Social Network Forensics

Karabiyik¹,

Canbaz²,

Aksoy³

et al. 2016

JDFSL

View full text Add to dashboard Cite

Social networks in any form, specifically online social networks (OSNs), are becoming a part of our everyday life in this new millennium especially with the advanced and simple communication technologies through easily accessible devices such as smartphones and tablets. The data generated through the use of these technologies need to be analyzed for forensic purposes when criminal and terrorist activities are involved. In order to deal with the forensic implications of social networks, current research on both digital forensics and social networks need to be incorporated and understood. This will help digital forensics investigators to predict, detect and even prevent any criminal activities in different forms. It will also help researchers to develop new models/techniques in the future. This paper provides literature review of the social network forensics methods, models, and techniques in order to provide an overview to the researchers for their future works as well as the law enforcement investigators for their investigations when crimes are committed in the cyber space. It also provides awareness and defense methods for OSN users in order to protect them against to social attacks.

show abstract

Social engineering in social networking sites: Affect-based model

Cited by 13 publications

References 77 publications

User characteristics that influence judgment of social engineering attacks in social networks

User characteristics that influence judgment of social engineering attacks in social networks

Security analysis of socio-technical physical systems

A Survey of Social Network Forensics

Contact Info

Product

Resources

About