Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection
Joint Authors
Source
Security and Communication Networks
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
As computer and network technologies evolve, the complexity of cybersecurity has dramatically increased.
Advanced cyber threats have led to current approaches to cyber-attack detection becoming ineffective.
Many currently used computer systems and applications have never been deeply tested from a cybersecurity point of view and are an easy target for cyber criminals.
The paradigm of security by design is still more of a wish than a reality, especially in the context of constantly evolving systems.
On the other hand, protection technologies have also improved.
Recently, Big Data technologies have given network administrators a wide spectrum of tools to combat cyber threats.
In this paper, we present an innovative system for network traffic analysis and anomalies detection to utilise these tools.
The systems architecture is based on a Big Data processing framework, data mining, and innovative machine learning techniques.
So far, the proposed system implements pattern extraction strategies that leverage batch processing methods.
As a use case we consider the problem of botnet detection by means of data in the form of NetFlows.
Results are promising and show that the proposed system can be a useful tool to improve cybersecurity.
American Psychological Association (APA)
Kozik, Rafał& Choraś, Michał. 2017. Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203015
Modern Language Association (MLA)
Kozik, Rafał& Choraś, Michał. Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection. Security and Communication Networks No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1203015
American Medical Association (AMA)
Kozik, Rafał& Choraś, Michał. Pattern Extraction Algorithm for NetFlow-Based Botnet Activities Detection. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1203015
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203015