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Evaluation of Attackers’ Skill Levels in Multi-Stage Attacks

Faculty of Science, Pavol Jozef Šafárik University in Košice, 040 01 Košice, Slovakia
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in International Workshop on Systems Safety and Security—IWSSS 2019, Pitesti, Romania, 27–29 June 2019.
Information 2020, 11(11), 537;
Received: 1 October 2020 / Revised: 14 November 2020 / Accepted: 17 November 2020 / Published: 19 November 2020
(This article belongs to the Special Issue Advanced Topics in Systems Safety and Security)
The rapid move to digitalization and usage of online information systems brings new and evolving threats that organizations must protect themselves from and respond to. Monitoring an organization’s network for malicious activity has become a standard practice together with event and log collection from network hosts. Security operation centers deal with a growing number of alerts raised by intrusion detection systems that process the collected data and monitor networks. The alerts must be processed so that the relevant stakeholders can make informed decisions when responding to situations. Correlation of alerts into more expressive intrusion scenarios is an important tool in reducing false-positive and noisy alerts. In this paper, we propose correlation rules for identifying multi-stage attacks. Another contribution of this paper is a methodology for inferring from an alert the values needed to evaluate the attack in terms of the attacker’s skill level. We present our results on the CSE-CIC-IDS2018 data set. View Full-Text
Keywords: alert correlation; attack evaluation; attacker skill level alert correlation; attack evaluation; attacker skill level
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MDPI and ACS Style

Mézešová, T.; Sokol, P.; Bajtoš, T. Evaluation of Attackers’ Skill Levels in Multi-Stage Attacks. Information 2020, 11, 537.

AMA Style

Mézešová T, Sokol P, Bajtoš T. Evaluation of Attackers’ Skill Levels in Multi-Stage Attacks. Information. 2020; 11(11):537.

Chicago/Turabian Style

Mézešová, Terézia, Pavol Sokol, and Tomáš Bajtoš. 2020. "Evaluation of Attackers’ Skill Levels in Multi-Stage Attacks" Information 11, no. 11: 537.

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