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    A hybrid approach to combat email-based cyberstalking

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    Authors
    Ghasem, Zinnar
    Frommholz, Ingo
    Maple, Carsten
    Affiliation
    University of Bedfordshire
    University of Warwick
    Issue Date
    2015-10-26
    Subjects
    Cyberstalking
    
    Metadata
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    Abstract
    Email is one of the most popular Internet applications which enables individuals and organisations alike to communicate and work effectively. However, email has also been used by criminals as a means to commit cybercrimes such as phishing, spamming, cyberbullying and cyberstalking. Cyberstalking is a relatively new surfacing cybercrime, which recently has been recognised as a serious social and worldwide problem. Combating email-based cyberstalking is a challenging task that involves two crucial steps: a robust method for filtering and detecting cyberstalking emails and documenting evidence for identifying cyberstalkers as a prevention and deterrence measure. In this paper, we discuss a hybrid approach that applies machine learning to detect, filter and file evidence. To this end we present a new robust feature selection approach to select informative features, aiming to improve the performance of machine learning within this task.
    Citation
    Ghasem Z, Frommholz I, Maple C (2015) 'A hybrid approach to combat email-based cyberstalking', 2015 Fourth International Conference on Future Generation Communication Technology (FGCT) - Luton, Institute of Electrical and Electronics Engineers Inc..
    Publisher
    Institute of Electrical and Electronics Engineers Inc.
    URI
    http://hdl.handle.net/10547/624259
    DOI
    10.1109/FGCT.2015.7300257
    Additional Links
    https://ieeexplore.ieee.org/document/7300257
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781479982660
    ae974a485f413a2113503eed53cd6c53
    10.1109/FGCT.2015.7300257
    Scopus Count
    Collections
    Computing

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