Phishing through social bots on Twitter
| Authors |
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| Publication date | 2016 |
| Host editors |
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| Book title | 2016 IEEE International Conference on Big Data |
| Book subtitle | Dec 05-Dec 08, 2015, Washington D.C., USA : proceedings |
| ISBN |
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| ISBN (electronic) |
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| Event | 4th IEEE International Conference on Big Data, Big Data 2016 |
| Pages (from-to) | 3703-3712 |
| Number of pages | 10 |
| Publisher | Piscataway, NJ: IEEE |
| Organisations |
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| Abstract |
This work investigates how social bots can phish employees of organizations, and thus endanger corporate network security. Current literature mostly focuses on traditional phishing methods (through e-mail, phone calls, and USB sticks). We address the serious organizational threats and security risks caused by phishing through online social media, specifically through Twitter. This paper first provides a review of current work. It then describes our experimental development, in which we created and deployed eight social bots on Twitter, each associated with one specific subject. For a period of four weeks, each bot published tweets about its subject and followed people with similar interests. In the final two weeks, our experiment showed that 437 unique users could have been phished, 33 of which visited our website through the network of an organization. Without revealing any sensitive or real data, the paper analyses some findings of this experiment and addresses further plans for research in this area. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1109/BigData.2016.7841038 |
| Other links | https://www.scopus.com/pages/publications/85015226668 |
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