Towards Visual Cyber Security Analytics for the Masses

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dc.contributor.authorUlmer, Alexen_US
dc.contributor.authorSchufrin, Marijaen_US
dc.contributor.authorLücke-Tieke, Hendriken_US
dc.contributor.authorKannanayikkal, Clindo Devassyen_US
dc.contributor.authorKohlhammer, Jörnen_US
dc.contributor.editorChristian Tominski and Tatiana von Landesbergeren_US
dc.date.accessioned2018-06-02T17:57:04Z
dc.date.available2018-06-02T17:57:04Z
dc.date.issued2018
dc.description.abstractUnderstanding network activity and cyber threats is of major concern these days, for business and private users alike. As more and more online applications assist us in our daily life, there is a growing potential vulnerability to cyber crime. With this paper, we want to share our vision of cyber security analytics becoming an accessible everyday task through visual analysis tools. We describe the context of this vision and our experience with the first achievements in this direction. With our new prototype, anyone can analyze their network traffic logs and get security-relevant information out of it, a task that was too difficult and sometimes too expensive in the past. We present an open, accessible and user-friendly visual network analyzer for PCAP (packet capture) files, critically discuss our first prototype, and give an outlook to anomaly detection supported by active learning in this context.en_US
dc.description.sectionheadersWork-in-Progress
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20181113
dc.identifier.isbn978-3-03868-064-2
dc.identifier.pages55-59
dc.identifier.urihttps://doi.org/10.2312/eurova.20181113
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20181113
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectVisualization systems and tools
dc.subjectUser centered design
dc.subjectApplied computing
dc.subjectNetwork forensics
dc.titleTowards Visual Cyber Security Analytics for the Massesen_US
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