PICAndro: Packet InspeCtion-Based Android Malware Detection

The post-COVID epidemic world has increased dependence on online businesses for day-to-day life transactions over the Internet, especially using the smartphone or handheld devices. This increased dependence has led to new attack surfaces which need to be evaluated by security researchers. The large...

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Autores principales: Vikas Sihag, Gaurav Choudhary, Manu Vardhan, Pradeep Singh, Jung Taek Seo
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Lenguaje:EN
Publicado: Hindawi-Wiley 2021
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Acceso en línea:https://doaj.org/article/8ca1d7ef3a2148bab217e53e964b5fa2
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spelling oai:doaj.org-article:8ca1d7ef3a2148bab217e53e964b5fa22021-11-22T01:10:29ZPICAndro: Packet InspeCtion-Based Android Malware Detection1939-012210.1155/2021/9099476https://doaj.org/article/8ca1d7ef3a2148bab217e53e964b5fa22021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9099476https://doaj.org/toc/1939-0122The post-COVID epidemic world has increased dependence on online businesses for day-to-day life transactions over the Internet, especially using the smartphone or handheld devices. This increased dependence has led to new attack surfaces which need to be evaluated by security researchers. The large market share of Android attracts malware authors to launch more sophisticated malware (12000 per day). The need to detect them is becoming crucial. Therefore, in this paper, we propose PICAndro that can enhance the accuracy and the depth of malware detection and categorization using packet inspection of captured network traffic. The identified network interactions are represented as images, which are fed in the CNN engine. It shows improved performance with the accuracy of 99.12% and 98.91% for malware detection and malware class detection, respectively, with high precision.Vikas SihagGaurav ChoudharyManu VardhanPradeep SinghJung Taek SeoHindawi-WileyarticleTechnology (General)T1-995Science (General)Q1-390ENSecurity and Communication Networks, Vol 2021 (2021)
institution DOAJ
collection DOAJ
language EN
topic Technology (General)
T1-995
Science (General)
Q1-390
spellingShingle Technology (General)
T1-995
Science (General)
Q1-390
Vikas Sihag
Gaurav Choudhary
Manu Vardhan
Pradeep Singh
Jung Taek Seo
PICAndro: Packet InspeCtion-Based Android Malware Detection
description The post-COVID epidemic world has increased dependence on online businesses for day-to-day life transactions over the Internet, especially using the smartphone or handheld devices. This increased dependence has led to new attack surfaces which need to be evaluated by security researchers. The large market share of Android attracts malware authors to launch more sophisticated malware (12000 per day). The need to detect them is becoming crucial. Therefore, in this paper, we propose PICAndro that can enhance the accuracy and the depth of malware detection and categorization using packet inspection of captured network traffic. The identified network interactions are represented as images, which are fed in the CNN engine. It shows improved performance with the accuracy of 99.12% and 98.91% for malware detection and malware class detection, respectively, with high precision.
format article
author Vikas Sihag
Gaurav Choudhary
Manu Vardhan
Pradeep Singh
Jung Taek Seo
author_facet Vikas Sihag
Gaurav Choudhary
Manu Vardhan
Pradeep Singh
Jung Taek Seo
author_sort Vikas Sihag
title PICAndro: Packet InspeCtion-Based Android Malware Detection
title_short PICAndro: Packet InspeCtion-Based Android Malware Detection
title_full PICAndro: Packet InspeCtion-Based Android Malware Detection
title_fullStr PICAndro: Packet InspeCtion-Based Android Malware Detection
title_full_unstemmed PICAndro: Packet InspeCtion-Based Android Malware Detection
title_sort picandro: packet inspection-based android malware detection
publisher Hindawi-Wiley
publishDate 2021
url https://doaj.org/article/8ca1d7ef3a2148bab217e53e964b5fa2
work_keys_str_mv AT vikassihag picandropacketinspectionbasedandroidmalwaredetection
AT gauravchoudhary picandropacketinspectionbasedandroidmalwaredetection
AT manuvardhan picandropacketinspectionbasedandroidmalwaredetection
AT pradeepsingh picandropacketinspectionbasedandroidmalwaredetection
AT jungtaekseo picandropacketinspectionbasedandroidmalwaredetection
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