UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 4 | April 2026

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Published in:

Volume 11 Issue 3
March-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2403130


Registration ID:
533670

Page Number

b264-b269

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Title

Memory Dump Collection And Analysis Tool

Abstract

Modern operating systems and applications demand robust diagnostic solutions for debugging and troubleshooting runtime issues. Memory dumps, snapshots of the system's volatile memory state, provide invaluable insights into application behavior, crashes, and anomalies. However, traditional memory dumping methods often prove cumbersome and inefficient, creating massive dump files that capture the entire contents of the system's RAM. These large files can create storage bottlenecks, impede analysis, and potentially contain sensitive data from unrelated processes. This project introduces a novel memory dump collection and analysis tool designed to address these challenges. Our tool focuses on targeted memory acquisition, allowing users to collect memory dumps based exclusively on specific application or process IDs. This refined approach significantly reduces the size of the resulting dump files, enhancing storage efficiency, streamlining analysis efforts, and minimizing the exposure of sensitive data. Furthermore, to ensure the confidentiality and integrity of the collected memory dumps, the tool integrates the Fernet encryption module. Fernet, a symmetric encryption algorithm, provides robust protection for the dump files during transfer and storage, safeguarding them against unauthorized access or modification. Our project offers distinct advantages over traditional memory analysis tools. By focusing on specific processes, it minimizes resource consumption, reduces the complexity of analysis, and promotes privacy. The integration of encryption further strengthens the security posture of sensitive memory data. This work has the potential to optimize memory diagnostics procedures, benefiting developers, system administrators, and security analysts alike. By providing targeted, encrypted memory dumps, our tool empowers effective debugging, troubleshooting, and forensic investigations within complex software environments.

Key Words

Memory dump, Process ID, Application ID, Fernet encryption, Targeted memory acquisition, Troubleshooting

Cite This Article

"Memory Dump Collection And Analysis Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.b264-b269, March-2024, Available :http://www.jetir.org/papers/JETIR2403130.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Memory Dump Collection And Analysis Tool", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppb264-b269, March-2024, Available at : http://www.jetir.org/papers/JETIR2403130.pdf

Publication Details

Published Paper ID: JETIR2403130
Registration ID: 533670
Published In: Volume 11 | Issue 3 | Year March-2024
DOI (Digital Object Identifier):
Page No: b264-b269
Country: Erode, Tamilnadu , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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