International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Reviewer Referral Program
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 6 Issue 6
November-December 2024
Indexing Partners
ForenSift: Gen-AI powered integrated Digital Forensics and Incident Response platform using LangChain Framework
Author(s) | Akhilesh Talekar, Amruta Patil, Pushkar Deore, Pratik Patil, Manisha Mali |
---|---|
Country | India |
Abstract | ForenSift brings innovation to the domain of Digital Forensics and Incident Response using Generative AI and the LangChain framework to combat the significant surge in the complexity and volume of digital evidence discovered in cybersecurity investigations. ForenSift deals with key issues in cybersecurity investigation work, specifically time constraints and the need for deep analysis of huge datasets. We have proposed an integrated solution that would automate key parts of the DFIR workflow that ranges from evidence collection, artifact management, anomaly detection, to report generation. ForenSift architecture is based on a strong, evidence-preserving workflow, integrating fully with existing forensic tools but introducing AI-driven analysis capabilities. We have focused on utilisation of Large Language Models (LLMs) together with multi-agent systems at the platform level to notably enhance efficacy and accuracy in DFIR procedures. Concluding, we elaborate on how ForenSift may revolutionize DFIR as it is scalable, combining AI-driven analysis with human expertise. They indicate future possible improvements to be applied in the hybrid system, such as adding a quantum computing machine and blockchain technology to further increase processing speed and maintain data security. This research contributes to the emerging field of AI-enabled cybersecurity by proposing a well-rounded framework that addresses the emerging needs of digital forensic investigations in an increasingly complex threat landscape. |
Keywords | Digital Forensics, Incident Reporting, Automation, Artifact Management, LangChain, LLM, Ollama, Digital Forensics Investigations |
Field | Computer > Network / Security |
Published In | Volume 6, Issue 6, November-December 2024 |
Published On | 2024-11-27 |
Cite This | ForenSift: Gen-AI powered integrated Digital Forensics and Incident Response platform using LangChain Framework - Akhilesh Talekar, Amruta Patil, Pushkar Deore, Pratik Patil, Manisha Mali - IJFMR Volume 6, Issue 6, November-December 2024. DOI 10.36948/ijfmr.2024.v06i06.31692 |
DOI | https://doi.org/10.36948/ijfmr.2024.v06i06.31692 |
Short DOI | https://doi.org/g8r8f6 |
Share this
E-ISSN 2582-2160
doi
CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.