1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the Web

TSIKRIKA, Theodora, AKHGAR, Babak, KATOS, Vasilis, VROCHIDIS, Stefanos, BURNAP, Pete and WILLIAMS, Matthew L. (2017). 1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the Web. In: WSDM 2017: Tenth ACM International Conference on Web Search and Data Mining. ACM, 823-824.

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Official URL: http://dl.acm.org/citation.cfm?doid=3018661.302276...
Link to published version:: https://doi.org/10.1145/3018661.3022760
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    Abstract

    The deliberate misuse of technical infrastructure (including the Web and social media) for cyber deviant and cybercriminal behaviour, ranging from the spreading of extremist and terrorism-related material to online fraud and cyber security attacks, is on the rise. This workshop aims to better understand such phenomena and develop methods for tackling them in an effective and efficient manner. The workshop brings together interdisciplinary researchers and experts in Web search, security informatics, social media analysis, machine learning, and digital forensics, with particular interests in cyber security. The workshop programme includes refereed papers, invited talks and a panel discussion for better understanding the current landscape, as well as the future of data mining for detecting cyber deviance. © 2017 ACM.

    Item Type: Book Section
    Additional Information: Paper presented at : Tenth ACM International Conference on Web Search and Data Mining, Cambridge, United Kingdom, February 06 - 10, 2017
    Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
    Identification Number: https://doi.org/10.1145/3018661.3022760
    Page Range: 823-824
    Depositing User: Carmel House
    Date Deposited: 20 Apr 2017 11:30
    Last Modified: 02 Aug 2017 10:45
    URI: http://shura.shu.ac.uk/id/eprint/15488

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