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
- M Sreedharsh, S Saurav, Albin Joseph, Sravan Chandran , Lida K Kuriakose, Childhood Epilepsy Syndrome Classification through a Deep Learning Network with Clinical History Integration , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Akhil Mathew Mohan, Alan Maria George, Arathy Baby, Gopika S, Syam Gopi, Abubeker K.M, Real-time Air Quality Index Monitoring and Alert System using IoT Technology , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Amith Bino, Don Peter Joseph, Sreehari P, Anchal J Vattakunnel, Revolutionizing Nutritional Management Through Food Scanning And Object Detection: A New Android Application For Adults , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jannies Varghese, Hariprasad Prasanth, Blessy Mariam Babu, Chris Joseph, Bini M Issac, Deep Learning Techniques for Image Steganography: A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Krishnendu B, Sreelakshmi A, Sumayya Maheen, Zameel Hassan, Honey Joseph, Chatbot-Enabled Symptom Assessment: Revolutionizing Disease Diagnosis and Patient Care , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Naveen Philip Abraham, Joppen George, Kevin Sajan, Jonathan Chandy, Jonathan Chandy, Bini M. Issac, Advancements in Assistive Technologies: Enhancing Independence and Accessibility for the Visually Impaired , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Thejuskrishnan, Amal, Vyshnav M, Narayanan K, Saira Shamsudheen K S, SPEAK: An AI-Based Assistive Video Communication System for Speech and Sign Language Translation , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Adhil Salim, Advaith Manoj, Alan Thomas Shaji, The Future of Encryption in the Face of Advancing Quantum Computing Technology , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anna N Kurian, Amitha Anil, Andriya Raju, Ancita J Feriah, Aiswarya Lakshmi Navami, Deep Learning based Multimodal Brain MRI Tumor Classification as a Diagnostic Tool to Benefit Clinical Applications , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Abhijith J, Athul Krishna S, Amarthyag P, Angela Rose Baby, Mekha Jose, CATARACT DETECTION USING DIGITAL CAMERA IMAGES , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
