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dc.contributor.advisor
dc.contributor.advisorFerhat Özgur Catak
dc.contributor.authorHelge Vatsvåg
dc.date.accessioned2022-07-28T15:51:24Z
dc.date.available2022-07-28T15:51:24Z
dc.date.issued2022
dc.identifierno.uis:inspera:93568650:57781621
dc.identifier.urihttps://hdl.handle.net/11250/3009013
dc.description.abstractThere is a high focus in cyber threats, and cyber crime avoidance in the IT industry. Structured Threat Information Expression (STIX) is a standardized language and file format that is used to store and share safety treat information. A lot of work has been conducted making machine learning models and data learning models to collect and share STIX files. The number of STIX files generated in real-time is high, and it is time consuming for computer safety advisers to read through these files. In this project the goal is to create a software that gather STIX files use Natural Language Processing (NLP) to gather relevant information, and generate alerts in a intrusion prevention system.
dc.description.abstractThere is a high focus in cyber threats, and cyber crime avoidance in the IT industry. Structured Threat Information Expression (STIX) is a standardized language and file format that is used to store and share safety treat information. A lot of work has been conducted making machine learning models and data learning models to collect and share STIX files. The number of STIX files generated in real-time is high, and it is time consuming for computer safety advisers to read through these files. In this project the goal is to create a software that gather STIX files use Natural Language Processing (NLP) to gather relevant information, and generate alerts in a intrusion prevention system.
dc.languageeng
dc.publisheruis
dc.titleSTIX and TAXII based Cyber Threat Intelligence Sharing Parser and Intrusion Detection System Rules Generator
dc.typeBachelor thesis


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