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Malware Propagation Modelling in Peer-to-Peer Networks: A Review
Musa, Ahmad S. Al-Mohannadi, Hamad Alhamar, J.
Musa, Ahmad S.
Al-Mohannadi, Hamad
Alhamar, J.
Publication Date
2018
End of Embargo
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© 2018 IEEE. Reproduced in accordance with the publisher's self-archiving policy.
Peer-Reviewed
yes
Open Access status
Accepted for publication
2018-06-12
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Awarded
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Additional title
Abstract
Peer-to-Peer (P2P) network is increasingly
becoming the most important means of trading content
throughout the last years due to the constant evolvement of the
cyber world. This popularity made the P2P network susceptible
to the spread of malware. The detection of the cause of malware
propagation is now critical to the survival of P2P networks. This
paper offers a review of the current relevant mathematical
propagation models that have been proposed to date to predict
the propagation behavior of a malware in a P2P network. We
analyzed the models proposed by researchers and experts in the
field by evaluating their limitations and a possible alternative
for improving the analysis of the expected behavior of a
malware spread.
Version
Accepted manuscript
Citation
Musa AS, Al-Mohannadi H and Alhamar J (2018) Malware Propagation Modelling in Peer-to-Peer Networks: A Review. The IEEE 6th International Conference on Future Internet of Things and Cloud Workshops, FiCloudW 2018, 6-8 August, Barcelona, Spain.
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Type
Conference paper