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Malware prediction techniques: selection and implementation for integrated cyber evidence

Chuprat, Suriayati and Mahrin, Mohd. Naz’ri and Anuar, Syahid and Ariffin, Aswami and Abd. Aziz, Fakhrul Afiq and Ahmad Darus, Muhammad Zaharudin and Adil Talib, Mohd. Zabri (2018) Malware prediction techniques: selection and implementation for integrated cyber evidence. IJCSNS International Journal of Computer Science and Network Security, 18 (8). pp. 19-27. ISSN 1738-7906

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Official URL: http://search.ijcsns.org/02_search/02_search_03.ph...


Recent studies have shown the negatives impact of malware attacks are increasing. To prevent malware attack in more proactive way, predictions of such attacks are needed. However, the quality and the accuracy of these predictions are determined by the applied techniques. In this paper, we report our findings on selecting and implementing such techniques in predicting malware attacks. For the selection process, we conducted a systematic review and searched over 5 major databases. 89 articles on malware predictions were finally included and prediction techniques are classified. As part of our on-going development project known as Integrated Cyber Evidence (ICE), we evaluated the selected technique using actual data of malware attacks. The results of evaluation had helped us to decide the final technique to be implemented in prediction module of ICE systems.

Item Type:Article
Uncontrolled Keywords:algorithms, malware, machine learning, predictions
Subjects:T Technology > T Technology (General)
Divisions:Razak School of Engineering and Advanced Technology
ID Code:84627
Deposited By: Yanti Mohd Shah
Deposited On:27 Feb 2020 03:21
Last Modified:27 Feb 2020 03:21

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