skip to main content
10.1145/3491418.3535127acmconferencesArticle/Chapter ViewAbstractPublication PagespearcConference Proceedingsconference-collections
extended-abstract

Digital Evidence Acquisition and Deepfake Detection with Decentralized Applications

Authors Info & Claims
Published:08 July 2022Publication History

ABSTRACT

No abstract available.

References

  1. M., Güera, David, and Edward J. Delp. "Deepfake video detection using recurrent neural networks." 2018 15th IEEE international conference on advanced video and signal-based surveillance (AVSS). IEEE, 2018.Google ScholarGoogle Scholar
  2. Zhao, Hanqing, "Multi-attentional deepfake detection." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.Google ScholarGoogle Scholar
  3. Aggarwal, Sudhir, "Design and Implementation of a Targeted Data Extraction System for Mobile Devices.”Google ScholarGoogle Scholar
  4. Roussev, Vassil, Andres Barreto, and Irfan Ahmed. "Forensic acquisition of cloud drives." arXiv preprint arXiv:1603.06542 (2016).Google ScholarGoogle Scholar
  5. Al Mutawa, Noora, Ibrahim Baggili, and Andrew Marrington. "Forensic analysis of social networking applications on mobile devices." Digital investigation 9 (2012): S24-S33.Google ScholarGoogle ScholarCross RefCross Ref
  6. Hasan, Haya R., and Khaled Salah. "Combating deepfake videos using blockchain and smart contracts." Ieee Access 7 (2019): 41596-4160Google ScholarGoogle ScholarCross RefCross Ref

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    PEARC '22: Practice and Experience in Advanced Research Computing
    July 2022
    455 pages
    ISBN:9781450391610
    DOI:10.1145/3491418

    Copyright © 2022 Owner/Author

    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 8 July 2022

    Check for updates

    Qualifiers

    • extended-abstract
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate133of202submissions,66%

    Upcoming Conference

    PEARC '24
  • Article Metrics

    • Downloads (Last 12 months)59
    • Downloads (Last 6 weeks)5

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format