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Article

Multivariable Heuristic Approach to Intrusion Detection in Network Environments

AGH University of Science and Technology, Department of Telecommunications, Mickiewicza 30, 30-059 Krakow, Poland
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Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Academic Editors: Amelia Carolina Sparavigna, Héctor D. Menéndez and Guillermo Suárez-Tangil
Entropy 2021, 23(6), 776; https://doi.org/10.3390/e23060776
Received: 19 April 2021 / Revised: 5 June 2021 / Accepted: 16 June 2021 / Published: 19 June 2021
(This article belongs to the Special Issue Statistical Methods in Malware Mitigation)
The Internet is an inseparable part of our contemporary lives. This means that protection against threats and attacks is crucial for major companies and for individual users. There is a demand for the ongoing development of methods for ensuring security in cyberspace. A crucial cybersecurity solution is intrusion detection systems, which detect attacks in network environments and responds appropriately. This article presents a new multivariable heuristic intrusion detection algorithm based on different types of flags and values of entropy. The data is shared by organisations to help increase the effectiveness of intrusion detection. The authors also propose default values for parameters of a heuristic algorithm and values regarding detection thresholds. This solution has been implemented in a well-known, open-source system and verified with a series of tests. Additionally, the authors investigated how updating the variables affects the intrusion detection process. The results confirmed the effectiveness of the proposed approach and heuristic algorithm. View Full-Text
Keywords: cybersecurity; intrusion detection; network attack; heuristic algorithm, flags; entropy cybersecurity; intrusion detection; network attack; heuristic algorithm, flags; entropy
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MDPI and ACS Style

Niemiec, M.; Kościej, R.; Gdowski, B. Multivariable Heuristic Approach to Intrusion Detection in Network Environments. Entropy 2021, 23, 776. https://doi.org/10.3390/e23060776

AMA Style

Niemiec M, Kościej R, Gdowski B. Multivariable Heuristic Approach to Intrusion Detection in Network Environments. Entropy. 2021; 23(6):776. https://doi.org/10.3390/e23060776

Chicago/Turabian Style

Niemiec, Marcin, Rafał Kościej, and Bartłomiej Gdowski. 2021. "Multivariable Heuristic Approach to Intrusion Detection in Network Environments" Entropy 23, no. 6: 776. https://doi.org/10.3390/e23060776

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