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A Centralized System for Detecting Attacks from Windows Event Logs

  • Naval Communications and Information Technology Department

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceeding - 2023 International Electrical Engineering Congress, iEECON 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages367-371
Number of pages5
ISBN (Electronic)9798350332360
DOIs
Publication statusPublished - 2023
Event2023 International Electrical Engineering Congress, iEECON 2023 - Krabi, Thailand
Duration: 8 Mar 202310 Mar 2023

Publication series

NameProceeding - 2023 International Electrical Engineering Congress, iEECON 2023

Conference

Conference2023 International Electrical Engineering Congress, iEECON 2023
Country/TerritoryThailand
CityKrabi
Period8/03/2310/03/23

Keywords

  • Anomaly Detection
  • Centralized Log System
  • Cybersecurity
  • Windows Event Log

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