Using Ontologies in Cybersecurity Field

This paper is an exploratory research which aims to improve the cybersecurity field by means of semantic web technologies. The authors present a framework which uses Semantic Web technologies to automatically extract and analyse text in natural language available online. The system provides results...

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Bibliographic Details
Published in:Informatica economica 2017-09, Vol.21 (3/2017), p.5-15
Main Authors: GEORGESCU, Tiberiu Marian, SMEUREANU, Ion
Format: Article
Language:English
Subjects:
Artificial intelligence
Collaboration
Cybercrime
Cybernetics
Cybersecurity
Data encryption
Extensible Markup Language
Hackers
Intelligent systems
Internet
Language
Natural language
Natural language processing
Network security
On-line systems
Ontologies
Ontology
Resource Description Framework-RDF
Semantic Web
Semantics
Software
Studies
Web Ontology Language-OWL
World Wide Web
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Description
Summary:This paper is an exploratory research which aims to improve the cybersecurity field by means of semantic web technologies. The authors present a framework which uses Semantic Web technologies to automatically extract and analyse text in natural language available online. The system provides results that are further analysed by cybersecurity experts to detect black hat hackers' activities. The authors examine several characteristics of how hacking communities communicate and collaborate online and how much information can be obtained by analysing different types of internet text communication channels. Having online sources as input data, the model proposed extracts and analyses natural language that relates with cybersecurity field, with the aid of ontologies. The main objective is to generate information about possible black hat hacking actions, which later can be analysed punctually by experts. This paper describes the data flow of the framework and it proposes technological solutions so that the model can be applied. In their future work, the authors plan to implement the framework described as a system software application.
ISSN:1453-1305
1842-8088
DOI:10.12948/issn14531305/21.3.2017.01