Security and privacy in online social networking: Risk perceptions and precautionary behaviour

Schaik, Paul van; Jansen, Jurjen; Onibokun, Joseph; Camp, L. Jean; Kusev, Petko

doi:10.1016/j.chb.2017.10.007

Cited by 95 publications

(69 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, in the context of the social network, Internet experience has been found to predict precautionary behaviour, and further causes greater sensitivity to associated risks in using Facebook (Van Schaik et al 2018). Thus, years of experience in using the network could increase the individual's awareness of the risk associated with connecting with strangers.…”

Section: Social Network Experiencementioning

confidence: 99%

“…Many studies have considered perceiving the risk associated with engaging in online activities as having a direct influence on avoiding using online services (Riek et al 2016) and more importantly as decreasing their vulnerability to online threats (Vishwanath et al 2016). Facebook users' perceived risk of privacy and security threats significantly predict their strict privacy and security settings (Van Schaik et al 2018). Thus, if online users are aware of the potential risks and their consequences that might be encountered on Facebook, they will probably avoid clicking on malicious links and communicating with strangers on the network.…”

Section: Risk Perceptionmentioning

confidence: 99%

See 1 more Smart Citation

Predicting individuals’ vulnerability to social engineering in social networks

Albladi

Weir

2020

Cybersecur

View full text Add to dashboard Cite

The popularity of social networking sites has attracted billions of users to engage and share their information on these networks. The vast amount of circulating data and information expose these networks to several security risks. Social engineering is one of the most common types of threat that may face social network users. Training and increasing users' awareness of such threats is essential for maintaining continuous and safe use of social networking services. Identifying the most vulnerable users in order to target them for these training programs is desirable for increasing the effectiveness of such programs. Few studies have investigated the effect of individuals' characteristics on predicting their vulnerability to social engineering in the context of social networks. To address this gap, the present study developed a novel model to predict user vulnerability based on several perspectives of user characteristics. The proposed model includes interactions between different social network-oriented factors such as level of involvement in the network, motivation to use the network, and competence in dealing with threats on the network. The results of this research indicate that most of the considered user characteristics are factors that influence user vulnerability either directly or indirectly. Furthermore, the present study provides evidence that individuals' characteristics can identify vulnerable users so that these risks can be considered when designing training and awareness programs.

show abstract

Section: Social Network Experiencementioning

confidence: 99%

Section: Risk Perceptionmentioning

confidence: 99%

Predicting individuals’ vulnerability to social engineering in social networks

Albladi

Weir

2020

Cybersecur

View full text Add to dashboard Cite

show abstract

“…However, in the case of hacking on social media, Facebook in particular, who have experienced hacking or retrieval of personal data feel they do not get help from Facebook. Facebook should be able to warn users of personal data abuse 22 . Since not all victims of hacking know that they are being hacked and have their privacy violated.…”

Section: Internet Behavior Related To Privacy and Personal Datamentioning

confidence: 99%

Indonesian Millennial Awareness to Privacy and Personal Data Protection on the Internet

Noor

2020

DESIDOC Jl. Lib. Info. Technol.

View full text Add to dashboard Cite

The internet is the daily consumption of millennials. The internet in addition to having extensive benefits in a variety of ways, howevera violation of privacy and personal datacould haunt them. Various forms of violations of privacy and personal data can harm and endanger the internet users, so that sufficient awareness and understanding is needed to be able to minimise these risks. This study aims to describe the recognition and response of the Indonesian millennials to protect their personal data, including what personal data needs to be protected most, behaviour on the internet towards personal data, and respond to problems of personal data violations. This study uses a quantitative approach. The data collection method used is an online questionnaire that is distributed to millennial generations. The analytical method used is descriptive analysis. The results of this study indicate that the millennial generation considers personal data that is closely related to family and their owns have to be protected. Millennials also show suspicious behaviour regarding their personal data on the internet and assume that all forms of violation of privacy and personal data are disturbing and offensive. This research is open to being developed further, among others by looking at and measuring the competence of millennials and what factors determine the success of protecting personal data on the internet.

show abstract

“…Prior research has shown that security and privacy concerns of internet users vary across different cultural and political settings, as well as level of user expertise [59,60]. An early study of social media privacy attitudes and behavior in India used a survey of 407 participants [61].…”

Section: Global Demographic Characterizationsmentioning

confidence: 99%

Measuring Human Resilience in the Face of the Global Epidemiology of Cyber Attacks

Camp¹,

Grobler²,

Jang-Jaccard³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Computer security is a complex global phenomenon where different populations interact, and the infection of one person creates risk for another. Given the dynamics and scope of cyber campaigns, studies of local resilience without reference to global populations are inadequate. In this paper, we describe a set of minimal requirements for implementing a global epidemiological infrastructure to understand and respond to large-scale computer security outbreaks. We enumerate the relevant dimensions, the applicable measurement tools, and define a systematic approach to evaluate cyber security resilience. From the experience in conceptualizing and designing a cross-national coordinated phishing resilience evaluation, we describe the cultural, logistic, and regulatory challenges to this proposed public health approach to global computer assault resilience. We conclude that mechanisms for systematic evaluations of global attacks and the resilience against those attacks exist. Coordinated global science is needed to address organised global ecrime.

show abstract

Security and privacy in online social networking: Risk perceptions and precautionary behaviour

Cited by 95 publications

References 52 publications

Predicting individuals’ vulnerability to social engineering in social networks

Predicting individuals’ vulnerability to social engineering in social networks

Indonesian Millennial Awareness to Privacy and Personal Data Protection on the Internet

Measuring Human Resilience in the Face of the Global Epidemiology of Cyber Attacks

Contact Info

Product

Resources

About