Journal article 13726 views
Malicious and Spam Posts in Online Social Networks
Saeed Abu-Nimeh,
Thomas Chen,
Omar Alzubi,
Tom Chen Chen
Computer, Volume: 44, Issue: 9, Pages: 23 - 28
Swansea University Author: Tom Chen Chen
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1109/mc.2011.222
Abstract
Malicious and Spam Posts in Online Social Networks
| Published in: | Computer |
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| ISSN: | 0018-9162 |
| Published: |
2011
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa12267 |
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| Item Description: |
This paper was first large-scale study of more than half million Facebook posts for spam and malicious links. An international industry-academic collaboration (with U.S. security specialist company Damballa) made use of innovative Facebook app for large-scale data collection and analysis by machine learning techniques. Impact: study showed significant security risk in online social networks, a public safety concern. Journal is flagship of IEEE Computer Society with highest circulation of any IEEE publication. impact factor: 2.2. |
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| College: |
Faculty of Science and Engineering |
| Issue: |
9 |
| Start Page: |
23 |
| End Page: |
28 |