Predicting individuals’ vulnerability to social engineering in social networks
Abstract 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 threa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2020-03-01
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| Series: | Cybersecurity |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s42400-020-00047-5 |