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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 DossSmart 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
1113Series
Communications in Computer and Information SciencePagination
212 - 224Publisher
SpringerLocation
Melbourne, Vic.Place of publication
Cham, SwitzerlandPublisher DOI
Start date
2019-11-27End date
2019-11-29ISSN
1865-0929eISSN
1865-0937ISBN-13
9783030343521Language
engPublication classification
E1 Full written paper - refereedEditor/Contributor(s)
R Ram Mohan Doss, S Piramuthu, W ZhouTitle of proceedings
FNSS 2019 : Future Network Systems and Security : 5th International Conference, FNSS 2019 Melbourne, VIC, Australia, November 27–29, 2019 ProceedingsUsage metrics
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