Detecting cyber threats through social network analysis: short survey | Zendy

Lyudmyla Kirichenko | Zendy; Тамара Радівілова | Zendy; Anders Carlsson | Zendy

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Detecting cyber threats through social network analysis: short survey

Author(s) -

Lyudmyla Kirichenko,

Тамара Радівілова,

Anders Carlsson

Publication year - 2017

Publication title -

socioeconomic challenges

Language(s) - English

Resource type - Journals

eISSN - 2520-6621

pISSN - 2520-6214

DOI - 10.21272/sec.2017.1-03

Subject(s) - social network analysis , computer science , cluster analysis , data science , social network (sociolinguistics) , organizational network analysis , network analysis , network security , computer security , data mining , world wide web , social media , knowledge management , artificial intelligence , engineering , organizational learning , electrical engineering

This article considers a short survey of basic methods of social networks analysis, which are used for detecting cyber threats. The main types of social network threats are presented. Basic methods of graph theory and data mining, that deals with social networks analysis are described. Typical security tasks of social network analysis, such as community detection in network, detection of leaders in communities, detection experts in networks, clustering text information and others are considered.

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