Literature Survey On Windows Incident Response Tool
Abstract
Incident response is a systematic process used by organizations to manage data breaches and cyberattacks, with the
goal of minimizing damage, reducing recovery time, and preserving operational continuity. This work presents a Windows Incident
Response Tool designed to enhance and accelerate investigation procedures within Windows environments by utilizing the Windows
Remote Management (WinRM) service. The tool automates the collection of critical forensic artifacts—including network
configuration, user accounts, scheduled tasks, registry entries, firewall rules, running services, active ports, file shares, system files,
event logs, and active sessions—providing a centralized and structured dataset for analysis. By consolidating this information,
security analysts can more easily detect anomalies, identify indicators of compromise, and make informed response decisions.
Automation through WinRM reduces manual effort, improves consistency in evidence gathering, and streamlines the overall
incident response workflow. The proposed system aims to support faster identification, analysis, and remediation of security incidents,
thereby improving the effectiveness and efficiency of Windows based digital forensics and incident response operations.
Keywords:
Windows Incident Response Tool (WIRT), Windows Remote Management (WinRM), Digital Forensics, Cybersecurity Incident Response, Automated Data CollectionPublished
Issue
Section
License
Copyright (c) 2026 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- K.M Gishma, K.B Annmaria , V.N Ramna Parvan , Anagha Suresh, Athira Shaji, LIP READING AND PREDICTION SYSTEM BASED ON DEEP LEARNING , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Ethen Biju, Chris Mathew, Alina Ann Joseph, Diya Kalyan, Ria Mathews, DaceStudio: AI-Driven Code Editing for Next-Gen Software Development , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Evelyn Susan Jacob, Joel John, Raynell Rajeev, Steve Alex , Syam Gopi , Malware Classification using Image Analysis , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- M Manoj, A S Athira, Rishna Ramesh, Sandhra Gopi, Firoz P U, Smart Attend Insights , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lakshmy Suresh K , Joanna Danniel, Mariya Binoy, R Neenu, BookVerse: A Platform for Book Reviews and Resale , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Dr. Indu John, A Adithya, Alwin Rajan, Amal Biso George, Farhaan M Hussain, HEALTH GUARD-A Multiple Disease Prediction Model Based on Machine learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jyothis Joseph, Angeetha Raju, Aparna Santhosh, Ashitha Jenish, K S Minu, Survey on Fake Profile Detection in Social Media , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Fabeela Ali Rawther , Abhinay A K, Anagha Tess B, Alan Joseph , Adham Saheer, Evaluating Annotation Consistency in Offensive Language Detection: A Data Analytics Approach on the TweetEval Dataset , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Jefrin Siby Mathew, Joyal Joseph, Roshik George, Tinu Rose Thottungal , Honey Joseph, Multiple Disease Detection using Machine Learning , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
