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10.1109/CIS.2013.156guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Research on Extracting System Logged-In Password Forensically from Windows Memory Image File

Published: 14 December 2013 Publication History

Abstract

Forensics analysis of physical memory is a key point in computer living forensics. Most of the research carried out focusing on enumerating processes and threads by accessing memory resident objects. However, collecting case sensitive information from the extracted memory content is import and difficult in computer forensics. Password plaintext is one of the most concerning sensitive information to an investigator. The traditional methods to extract system logged in password plaintext mainly rely on cracker tools, whose success rate depend on the password complexity. The important contribution of the paper is a new technique for extracting system logged-in password plaintext from physical memory. It allows extracting arbitrary length system logged-in password plaintext. The proposed method can extract system logged-in password plaintext of Windows XP and Windows 7.

Cited By

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  • (2024)A Privacy Preserving Context Sensitive KernelProceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning10.1145/3649403.3656483(20-25)Online publication date: 30-May-2024
  • (2020)Identification of Spoofed Emails by applying Email Forensics and Memory ForensicsProceedings of the 2020 10th International Conference on Communication and Network Security10.1145/3442520.3442527(109-114)Online publication date: 27-Nov-2020

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Published In

cover image Guide Proceedings
CIS '13: Proceedings of the 2013 Ninth International Conference on Computational Intelligence and Security
December 2013
857 pages
ISBN:9781479925490

Publisher

IEEE Computer Society

United States

Publication History

Published: 14 December 2013

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  1. computer forensics
  2. logged-in password
  3. memory analysis

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Cited By

View all
  • (2024)A Privacy Preserving Context Sensitive KernelProceedings of the 2024 ACM Workshop on Wireless Security and Machine Learning10.1145/3649403.3656483(20-25)Online publication date: 30-May-2024
  • (2020)Identification of Spoofed Emails by applying Email Forensics and Memory ForensicsProceedings of the 2020 10th International Conference on Communication and Network Security10.1145/3442520.3442527(109-114)Online publication date: 27-Nov-2020

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