A Centralized System for Detecting Attacks from Windows Event Logs

Although Microsoft released Windows 10 and 11, many personal computers worldwide are still running the old Windows 7 version without installing security patches. This leads attackers to be able to exploit them. In this paper, we propose a lightweight system called SHIRO to detect Windows attacks fro...

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Main Author: Visoottiviseth V.
Other Authors: Mahidol University
Format: Conference or Workshop Item
Published: 2023
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Online Access:https://repository.li.mahidol.ac.th/handle/123456789/87766
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spelling th-mahidol.877662023-07-08T01:01:29Z A Centralized System for Detecting Attacks from Windows Event Logs Visoottiviseth V. Mahidol University Computer Science Although Microsoft released Windows 10 and 11, many personal computers worldwide are still running the old Windows 7 version without installing security patches. This leads attackers to be able to exploit them. In this paper, we propose a lightweight system called SHIRO to detect Windows attacks from the Windows event logs. It aims to detect attacks on Windows 7 clients by focusing on three most critical Common Vulnerabilities Exposures (CVEs), which are CVE 2017-0143 (EternalBlue), CVE 2017-0199 (HTA), and CVE 2019-0708 (BlueKeep). To validate our proposed system, we emulate various attacks and generate datasets on each attack type. Then the log server collects Windows event logs from each client. We identify attacks by comparing logs obtained during attacks and logs obtained during normal operations. Then we develop detection signatures for each CVE from specific event IDs. Once SHIRO finds the attack signatures in the records, it identifies the attack type and alerts to the administrator. Our experiments based on both pre-generated datasets and the real-time attacks confirm that SHIRO can detect three types of attacks accurately. The experiment results prove that SHIRO is useful for the administrator to find the compromised Windows machines efficiently. 2023-07-07T18:01:29Z 2023-07-07T18:01:29Z 2023-01-01 Conference Paper Proceeding - 2023 International Electrical Engineering Congress, iEECON 2023 (2023) , 367-371 10.1109/iEECON56657.2023.10126899 2-s2.0-85162974509 https://repository.li.mahidol.ac.th/handle/123456789/87766 SCOPUS
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Computer Science
spellingShingle Computer Science
Visoottiviseth V.
A Centralized System for Detecting Attacks from Windows Event Logs
description Although Microsoft released Windows 10 and 11, many personal computers worldwide are still running the old Windows 7 version without installing security patches. This leads attackers to be able to exploit them. In this paper, we propose a lightweight system called SHIRO to detect Windows attacks from the Windows event logs. It aims to detect attacks on Windows 7 clients by focusing on three most critical Common Vulnerabilities Exposures (CVEs), which are CVE 2017-0143 (EternalBlue), CVE 2017-0199 (HTA), and CVE 2019-0708 (BlueKeep). To validate our proposed system, we emulate various attacks and generate datasets on each attack type. Then the log server collects Windows event logs from each client. We identify attacks by comparing logs obtained during attacks and logs obtained during normal operations. Then we develop detection signatures for each CVE from specific event IDs. Once SHIRO finds the attack signatures in the records, it identifies the attack type and alerts to the administrator. Our experiments based on both pre-generated datasets and the real-time attacks confirm that SHIRO can detect three types of attacks accurately. The experiment results prove that SHIRO is useful for the administrator to find the compromised Windows machines efficiently.
author2 Mahidol University
author_facet Mahidol University
Visoottiviseth V.
format Conference or Workshop Item
author Visoottiviseth V.
author_sort Visoottiviseth V.
title A Centralized System for Detecting Attacks from Windows Event Logs
title_short A Centralized System for Detecting Attacks from Windows Event Logs
title_full A Centralized System for Detecting Attacks from Windows Event Logs
title_fullStr A Centralized System for Detecting Attacks from Windows Event Logs
title_full_unstemmed A Centralized System for Detecting Attacks from Windows Event Logs
title_sort centralized system for detecting attacks from windows event logs
publishDate 2023
url https://repository.li.mahidol.ac.th/handle/123456789/87766
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