Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/1835
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dc.contributor.authorAdebayo, Olawale Surajudeen-
dc.contributor.authorAnyam, Joel-
dc.contributor.authorGaniyu, Shefiu O.-
dc.contributor.authorSalawu, Sule A.-
dc.date.accessioned2021-06-07T08:22:40Z-
dc.date.available2021-06-07T08:22:40Z-
dc.date.issued2020-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/1835-
dc.description.abstractThis research investigates popular messaging applications’ traffic in other to assess the security or vulnerability of communication on those appli- cations. The experiment was carried out in a Local Area Network. Wireshark, NetworkMiner and Netwitness Investigators were used to capture and analyse the traffic. Ten (10) instant messaging applications were installed on Android plat- forms and used for the experiment. Different types of sensitive media files were recovered from the network traffic, including images, documents/texts and audio. The Internet Service Provider (ISP) of the sender was also recovered along with the resident city of the third party. The research classifies the mobile applications into vulnerable and nonvulnerable applications using the gathered data. Thus, it was discovered that out of ten mobile applications investigated, only Viber appli- cation was non-vulnerable to tested attacks. The classification result also shows random forest as the best classifier using this research dataen_US
dc.language.isoenen_US
dc.relation.ispartofseriesVolume 1350;-
dc.subjectSocial media Vulnerabilityen_US
dc.subjectSocial media vulnerabilityen_US
dc.subjectInstant messaging applicationsen_US
dc.subjectMobile applicationsen_US
dc.subjectVulnerability classificationen_US
dc.titleAnalysis and Classification of some Selected Social media Apps Vulnerability. Springer. Book collection of International conference on Information and Communication. Part of the Communications in Computer and Information Science book seriesen_US
dc.typeArticleen_US
Appears in Collections:Cyber Security Science

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