dc.contributor.advisor | | |
dc.contributor.advisor | Ferhat Özgur Catak | |
dc.contributor.author | Helge Vatsvåg | |
dc.date.accessioned | 2022-07-28T15:51:24Z | |
dc.date.available | 2022-07-28T15:51:24Z | |
dc.date.issued | 2022 | |
dc.identifier | no.uis:inspera:93568650:57781621 | |
dc.identifier.uri | https://hdl.handle.net/11250/3009013 | |
dc.description.abstract | There 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.abstract | There 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.language | eng | |
dc.publisher | uis | |
dc.title | STIX and TAXII based Cyber Threat Intelligence Sharing Parser and Intrusion Detection System Rules Generator | |
dc.type | Bachelor thesis | |