Domain Specific Honeytokens Based on Natural Language Processing - A Conceptual Model

被引：0

作者：

Turek, Tomislav ^{[1
]}

Kisasondi, Tonimir ^{[1
]}

Schatten, Markus ^{[2
]}

机构：

[1] Fac Org & Informat, Lab Open Syst & Secur, Pavlinska 2, Varazhdin 42000, Croatia

[2] Fac Org & Informat, Artificial Intelligence Lab, Pavlinska 2, Varazhdin 42000, Croatia

来源：

CENTRAL EUROPEAN CONFERENCE ON INFORMATION AND INTELLIGENT SYSTEMS (CECIIS 2018) | 2018年

关键词：

honeytokens; honeynets; information security; natural language processing; domain modelling; keyword generation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：207 / 211

页数：5

共 14 条

[1]

Akshaya K., 2017, PROC INT C INNOVATIO, P1, DOI DOI 10.1109/ICIIECS.2017.8276120

[2]

Bercovitch M., 2011, 2011 IEEE International Conference on Intelligence and Security Informatics (ISI 2011), P131, DOI 10.1109/ISI.2011.5984063

[3] Natural language processing [J].

Chowdhury, GG .

ANNUAL REVIEW OF INFORMATION SCIENCE AND TECHNOLOGY, 2003, 37 :51-89

[4] Achieving Flatness: Selecting the Honeywords from Existing User Passwords [J].

Erguler, Imran .

IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING, 2016, 13 (02) :284-295

[5] Agent-based honeynet framework for protecting servers in campus networks [J].

Kim, I. S. ;

Kim, M. H. .

IET INFORMATION SECURITY, 2012, 6 (03) :202-211

[6] Natural Language Processing methods and systems for biomedical ontology learning [J].

Liu, Kaihong ;

Hogan, William R. ;

Crowley, Rebecca S. .

JOURNAL OF BIOMEDICAL INFORMATICS, 2011, 44 (01) :163-179

[7] WORDNET - A LEXICAL DATABASE FOR ENGLISH [J].

MILLER, GA .

COMMUNICATIONS OF THE ACM, 1995, 38 (11) :39-41

[8] Towards ontology alignment of e-business standards using OWL and F-logic [J].

Schatten M. ;

Magdalenic I. ;

Vrdoljak B. .

International Journal of Metadata, Semantics and Ontologies, 2011, 6 (3-4) :207-218

[9]

Schatten M., 2015, EUROPEAN Q POLITICAL, V4, P40

[10]

Seva Jurica, 2015, EUROPEAN Q POLITICAL, V4, P30

← 1 2 →