Domain Specific Honeytokens Based on Natural Language Processing - A Conceptual Model (CROSBI ID 666879)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Turek, Tomislav ; Schatten, Markus ; Kišasondi, Tonimir
engleski
Domain Specific Honeytokens Based on Natural Language Processing - A Conceptual Model
This paper presents the idea and conceptual model for keyword modelling by using Natural Language Processing (NLP) in a specific domain. The paper shows that keywords for Honeytokens (HTs) derived from a specific website domain can be generated automatically by extracting concepts of interest from security related or other domain specific texts. A conceptual model for generating such tokens is presented and guidelines for implementation are given. It is argued that such domain specific HTs are a better form of deception technology, that provides a harder challenge for detection from automated attacks and thus improves early detection and incident response procedures in modern complex systems.
honeytokens ; honeynets ; information security ; natural language processing ; domain modelling ; keyword generation
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Podaci o prilogu
207-211.
2018.
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objavljeno
Podaci o matičnoj publikaciji
Central European conference on information and intelligent systems
Strahonja, Vjeran ; Kirinić, Valentina
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu
1847-2001
1848-2295
Podaci o skupu
29th Central European Conference on Information and Intelligent Systems (CECIIS 2018)
predavanje
19.09.2018-21.09.2018
Varaždin, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo