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Quorum chain-based malware detection in android smart devices

conference contribution
posted on 2019-01-01, 00:00 authored by F Gao, Frank JiangFrank Jiang, Y Zhang, Robin Ram Mohan DossRobin Ram Mohan Doss
Smart devices are gradually becoming indispensable in people’s daily lives, and Android-based smart devices are taking over the main stream in mobile devices. However, while Android smart devices bring convenience to customers, they also bring problems. Due to the open-sourced nature of the Android system, malicious programs and software attacks pose a significant security risk to user data. Therefore, the detection of malware has always been a critical issue. For a long time, various malware detection schemes have been proposed, which have gradually improved the detection of malware. Traditional detection methods are based on static or dynamic detection techniques. In recent years, with the advancement of technology, malware detection based on machine learning ideas has been widely used, such as K-NN, deep learning, decision trees, and so on. Blockchain has been widely used in many fields since its birth. This paper combines traditional detection methods and ensemble learning algorithms to propose a malware detection technology based on QuorumChain framework (blockchain technology). The experimental results verify that the proposed new model is better than other models in precision, recall and f1-measure.

History

Event

Future Network Systems and Security. International Conference (5th : 2019 : Melbourne, Vic.)

Volume

1113

Series

Communications in Computer and Information Science

Pagination

212 - 224

Publisher

Springer

Location

Melbourne, Vic.

Place of publication

Cham, Switzerland

Start date

2019-11-27

End date

2019-11-29

ISSN

1865-0929

eISSN

1865-0937

ISBN-13

9783030343521

Language

eng

Publication classification

E1 Full written paper - refereed

Editor/Contributor(s)

R Ram Mohan Doss, S Piramuthu, W Zhou

Title of proceedings

FNSS 2019 : Future Network Systems and Security : 5th International Conference, FNSS 2019 Melbourne, VIC, Australia, November 27–29, 2019 Proceedings

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