An Investigation of Using Classification Techniques in Prediction of Type of Targets in Cyber Attacks

POURNOURI, Sina, ZARGARI, Shahrzad and AKHGAR, Babak (2019). An Investigation of Using Classification Techniques in Prediction of Type of Targets in Cyber Attacks. In: 12th IEEE International Conference on Global Security, Safety and Sustainability, ICGS3 2019, London, UK, January 16-18, 2019. IEEE, 122-132.

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Link to published version:: https://doi.org/10.1109/ICGS3.2019.8688266
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    Abstract

    © 2019 IEEE. Prediction of type of targets in cyber-attacks can be very important in designing an extensive framework to tackle future cyber incidents. Different sectors based on the nature of their business can be a specific target for some types of cyber-attack. Different businesses need to learn from past mistakes and identify the potential risks and vulnerabilities in order to be prepared against future cyber breaches. This study aims to investigate prediction of type of targets based on classification techniques and Open Source Intelligence.

    Item Type: Book Section
    Uncontrolled Keywords: Type of Target; Cyber Attack; Classification; Cyber breach; Open Source Intelligence
    Identification Number: https://doi.org/10.1109/ICGS3.2019.8688266
    Page Range: 122-132
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 04 Dec 2020 12:18
    Last Modified: 17 Mar 2021 19:16
    URI: http://shura.shu.ac.uk/id/eprint/27587

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