Research Article


DOI :10.26650/acin.1444470   IUP :10.26650/acin.1444470    Full Text (PDF)

Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques

Firdevs YıldızBatuhan GülFatih Ertam

With the rapid development of technology, significant progress has been observed regarding the Internet and interconnected devices, increasing the risk of cyberattacks targeting these platforms. These attacks take diverse and sophisticated forms and pose a serious threat to companies, potentially causing substantial financial losses and service disruptions. In response, the pressing need exists to develop robust defense strategies. This research focuses on analyzing attacks on information systems, specifically concentrating on network forensics using machine learning techniques. The initial phase involves executing various attack scenarios in a virtual environment, recording network packets, and extracting relevant features to create a dataset. A classification framework is then created that includes machine learning algorithms such as random forest, support vector machine (SVM), and Naïve Bayes. Comparing the performance of these algorithms on the study’s dataset has revealed the random forest algorithm to achieve the highest accuracy rate at 94.8%, with Naive Bayes having the lowest at 78.9


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APA

Yıldız, F., Gül, B., & Ertam, F. (2024). Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques. Acta Infologica, 8(1), 34-50. https://doi.org/10.26650/acin.1444470


AMA

Yıldız F, Gül B, Ertam F. Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques. Acta Infologica. 2024;8(1):34-50. https://doi.org/10.26650/acin.1444470


ABNT

Yıldız, F.; Gül, B.; Ertam, F. Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques. Acta Infologica, [Publisher Location], v. 8, n. 1, p. 34-50, 2024.


Chicago: Author-Date Style

Yıldız, Firdevs, and Batuhan Gül and Fatih Ertam. 2024. “Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques.” Acta Infologica 8, no. 1: 34-50. https://doi.org/10.26650/acin.1444470


Chicago: Humanities Style

Yıldız, Firdevs, and Batuhan Gül and Fatih Ertam. Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques.” Acta Infologica 8, no. 1 (Jul. 2024): 34-50. https://doi.org/10.26650/acin.1444470


Harvard: Australian Style

Yıldız, F & Gül, B & Ertam, F 2024, 'Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques', Acta Infologica, vol. 8, no. 1, pp. 34-50, viewed 25 Jul. 2024, https://doi.org/10.26650/acin.1444470


Harvard: Author-Date Style

Yıldız, F. and Gül, B. and Ertam, F. (2024) ‘Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques’, Acta Infologica, 8(1), pp. 34-50. https://doi.org/10.26650/acin.1444470 (25 Jul. 2024).


MLA

Yıldız, Firdevs, and Batuhan Gül and Fatih Ertam. Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques.” Acta Infologica, vol. 8, no. 1, 2024, pp. 34-50. [Database Container], https://doi.org/10.26650/acin.1444470


Vancouver

Yıldız F, Gül B, Ertam F. Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques. Acta Infologica [Internet]. 25 Jul. 2024 [cited 25 Jul. 2024];8(1):34-50. Available from: https://doi.org/10.26650/acin.1444470 doi: 10.26650/acin.1444470


ISNAD

Yıldız, Firdevs - Gül, Batuhan - Ertam, Fatih. Network Forensics Analysis of Cyber Attacks on Computer Systems using Machine Learning Techniques”. Acta Infologica 8/1 (Jul. 2024): 34-50. https://doi.org/10.26650/acin.1444470



TIMELINE


Submitted28.02.2024
Accepted09.05.2024
Published Online11.06.2024

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