Knowledge for Cyber Threat Intelligence

dc.contributor.advisorJoshi, Anupam
dc.contributor.authorMittal, Sudip
dc.contributor.departmentComputer Science and Electrical Engineering
dc.contributor.programComputer Science
dc.date.accessioned2021-01-29T18:12:22Z
dc.date.available2021-01-29T18:12:22Z
dc.date.issued2019-01-01
dc.description.abstractKeeping up with threat intelligence is a must for a security analyst today. There is a volume of information present in `the wild' that affects an organization. We need to develop an artificial intelligence system that scours the intelligence sources, to keep the analyst updated about various threats that pose a risk to her organization. A security analyst who is better `tapped in' can be more effective. In this thesis, we present, Cyber-All-Intel an artificial intelligence system to aid a security analyst. It is a system for knowledge extraction, representation and analytics in an end-to-end pipeline grounded in the cybersecurity informatics domain. It uses multiple knowledge representations like, vector spaces and knowledge graphs in a `VKG structure' to store incoming intelligence. The system also uses neural network models to pro-actively improve its knowledge. We have also created a query engine and an alert system that can be used by an analyst to find actionable cybersecurity insights.
dc.formatapplication:pdf
dc.genredissertations
dc.identifierdoi:10.13016/m2b2wp-ller
dc.identifier.other11994
dc.identifier.urihttp://hdl.handle.net/11603/20695
dc.languageen
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Theses and Dissertations Collection
dc.relation.ispartofUMBC Graduate School Collection
dc.relation.ispartofUMBC Student Collection
dc.sourceOriginal File Name: Mittal_umbc_0434D_11994.pdf
dc.subjectArtificial intelligence
dc.subjectCyber Security
dc.titleKnowledge for Cyber Threat Intelligence
dc.typeText
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dcterms.accessRightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.

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