A Method for the Attribute-based Detection of URLs Using Frequency Patterns

Electronics

  • A. S. Adamov Computer Engineering Faculty, Kharkov National University of Radioelectronics
  • V. I. Hahanov Computer Engineering Faculty, Kharkov National University of Radioelectronics
Keywords: host-based attributes, frequency patterns, cyber-attacks, URL, webpage.

Abstract

In this paper a new heuristic method of URLs detection using host-based attributes called Frequency Patterns Analysis (FPA) is discussed. A detection criterion is probabilistic and is based on frequency patterns of host-based attributes specific to a certain class of URLs: benign, malicious or phishing. In such a way, users need to have the patterns of host-based attributes to detect a malicious web resource. The objective of the study is to mine frequency patterns of host-based attributes and use them to identify cyber-attacks on an individual cyberspace (IC) . A link (association) analysis which is a part of data mining methodology was used to discover frequency patterns.

Author Biographies

A. S. Adamov, Computer Engineering Faculty, Kharkov National University of Radioelectronics

Адамов Александр

ассистент, каф. КИУ

V. I. Hahanov, Computer Engineering Faculty, Kharkov National University of Radioelectronics

Хаханов Владимир Иванович

д.т.н., проф., декан факультета КИУ

Published
2014-06-16
Issue
Vol 17 No 2 (2014): Vol 17 No 2 (2014)
Section
Articles