Publication:
Androsafe: Online malware analysis with static and dynamic methods

dc.contributor.authorKesavan, K
dc.contributor.authorLiyanapathirana, C
dc.contributor.authorSampath, S. A. W. S
dc.contributor.authorSureni, Y. M
dc.contributor.authorKoshila, C. P
dc.contributor.authorWanigarathna, S
dc.contributor.authorNawarathna, C. P
dc.contributor.authorRupasinghe, L
dc.date.accessioned2022-05-03T05:22:44Z
dc.date.available2022-05-03T05:22:44Z
dc.date.issued2016
dc.description.abstractWith an estimated market share of 70% to 80%, Android as becoming the most popular operating system for smartphone and tablet. Cyber criminals naturally expanded their various activities towards Google’s mobile platform.An additional incentive for mobile malware authors to target Android instead of another mobile platform is Android open design that allows users to install the application from a variety of sources. "Androsafe" is an online malware analysis tool which can analyze malware in an isolated environment without any damaging to the mobile device by using both existing and new anomaly based and behavioral analysis. Through this combination, we can analyze a large number of malware families because some malware families may only perform signature base or behavioral. Then the sandboxes based on signature will not have analysis malware families that only perform a behavior and the sandboxes based on behavior will not analysis signaturebased malware families.“Androsafe” sandbox will be hosted in the Honeynet Project’s cloud. Dynamic Analysis will be queued and run in the background, and an email which contains malware analyzing report will be sent to the user when the analysis is over. This method is very efficient more than offline kernel and app base sandbox.en_US
dc.identifier.urihttps://rda.sliit.lk/handle/123456789/2159
dc.language.isoenen_US
dc.publisherAnnual Technical Conference 2016 - IET- Sri Lanka Networken_US
dc.relation.ispartofseries23 rd ANNUAL TECHNICAL CONFERENCE OF IET SRI LANKA NETWORK;Pages 1
dc.subjectAndrosafeen_US
dc.subjectOnlineen_US
dc.subjectmalware analysisen_US
dc.subjectstaticen_US
dc.subjectdynamic methodsen_US
dc.titleAndrosafe: Online malware analysis with static and dynamic methodsen_US
dc.typeArticleen_US
dspace.entity.typePublication

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