A Profile-Based Fast Port Scan Detection Method

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10448)

Abstract

Before intruding into a system attackers need to collect information about the target machine. Port scanning is one of the most popular techniques for that purpose, it enables to discover services that may be exploited. In this paper we propose an accurate port scan detection method that can detect port scanning attacks earlier with higher reliability than the widely used Snort-based approaches. Our method is profile-based, meaning that it does not only set a threshold on the connection attempts in a given time interval, like most of the current methods, but builds an IP profile of four features that enables a more fine-grained detection. We use the Budapest node of the FIWARE Lab community cloud as a natural honeypot to identify malicious activities in it.

Keywords

Port scan detection FIWARE Lab IP profile-based detection 

Notes

Acknowledgment

Authors thank Ericsson Ltd. for support via the ELTE CNL collaboration. Sándor Laki also thanks the partial support of EU FP7 FI-CORE project. This publication is the partial result of the Research & Development Operational Programme for the project “Modernisation and Improvement of Technical Infrastructure for Research and Development of J. Selye University in the Fields of Nanotechnology and Intelligent Space”, ITMS 26210120042, co-funded by the European Regional Development Fund.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Katalin Hajdú-Szücs
    • 1
  • Sándor Laki
    • 1
  • Attila Kiss
    • 1
  1. 1.Eötvös Loránd UniversityBudapestHungary

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