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Journal article 13613 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

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DOI (Published version): 10.1109/mc.2011.222

Published in: Computer
ISSN: 0018-9162
Published: 2011
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URI: https://cronfa.swan.ac.uk/Record/cronfa12267
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first_indexed 2013-07-23T12:07:43Z
last_indexed 2018-02-09T04:43:01Z
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2013-06-10T09:59:02.4427281</datestamp><bib-version>v2</bib-version><id>12267</id><entry>2013-09-03</entry><title>Malicious and Spam Posts in Online Social Networks</title><swanseaauthors><author><sid>e2fc2f7d7a1ae089e052771d90fdc1b2</sid><firstname>Tom Chen</firstname><surname>Chen</surname><name>Tom Chen Chen</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-09-03</date><abstract></abstract><type>Journal Article</type><journal>Computer</journal><volume>44</volume><journalNumber>9</journalNumber><paginationStart>23</paginationStart><paginationEnd>28</paginationEnd><publisher/><placeOfPublication/><issnPrint>0018-9162</issnPrint><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2011</publishedYear><publishedDate>2011-12-31</publishedDate><doi>10.1109/mc.2011.222</doi><url/><notes>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.</notes><college>COLLEGE NANME</college><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><apcterm/><lastEdited>2013-06-10T09:59:02.4427281</lastEdited><Created>2013-09-03T06:34:05.0000000</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Saeed</firstname><surname>Abu-Nimeh</surname><order>1</order></author><author><firstname>Thomas</firstname><surname>Chen</surname><order>2</order></author><author><firstname>Omar</firstname><surname>Alzubi</surname><order>3</order></author><author><firstname>Tom Chen</firstname><surname>Chen</surname><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2013-06-10T09:59:02.4427281 v2 12267 2013-09-03 Malicious and Spam Posts in Online Social Networks e2fc2f7d7a1ae089e052771d90fdc1b2 Tom Chen Chen Tom Chen Chen true false 2013-09-03 Journal Article Computer 44 9 23 28 0018-9162 31 12 2011 2011-12-31 10.1109/mc.2011.222 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. COLLEGE NANME COLLEGE CODE Swansea University 2013-06-10T09:59:02.4427281 2013-09-03T06:34:05.0000000 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Saeed Abu-Nimeh 1 Thomas Chen 2 Omar Alzubi 3 Tom Chen Chen 4
title Malicious and Spam Posts in Online Social Networks
spellingShingle Malicious and Spam Posts in Online Social Networks
Tom Chen Chen
title_short Malicious and Spam Posts in Online Social Networks
title_full Malicious and Spam Posts in Online Social Networks
title_fullStr Malicious and Spam Posts in Online Social Networks
title_full_unstemmed Malicious and Spam Posts in Online Social Networks
title_sort Malicious and Spam Posts in Online Social Networks
author_id_str_mv e2fc2f7d7a1ae089e052771d90fdc1b2
author_id_fullname_str_mv e2fc2f7d7a1ae089e052771d90fdc1b2_***_Tom Chen Chen
author Tom Chen Chen
author2 Saeed Abu-Nimeh
Thomas Chen
Omar Alzubi
Tom Chen Chen
format Journal article
container_title Computer
container_volume 44
container_issue 9
container_start_page 23
publishDate 2011
institution Swansea University
issn 0018-9162
doi_str_mv 10.1109/mc.2011.222
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
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active_str 0
published_date 2011-12-31T03:14:10Z
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