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European Interdisciplinary Cybersecurity Conference (EICC) 2023

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Manage episode 367831921 series 2568929
Inhoud geleverd door Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Si and Desi recap the European Interdisciplinary Cybersecurity Conference (EICC) 2023, which hosted a range of talks and discussions on fields related to cybersecurity.

Si highlights some of the talks he found most interesting, including those on the following topics:

  • Research conducted at the University of Kent on the prevalence of child sexual abuse material (CSAM) in the DarkWeb, including differences between English- and Chinese-language marketplaces
  • Tracking vehicles and anonymising personal data in a way that still allows useful statistical analysis
  • Conversion of malware binaries into visual images, allowing for the detection of malware families and programs by visual analysis
  • Detecting device fingerprinting on iOS with API function hooking
  • Age classification from images, including potential challenges, theoretical uses and current accuracy levels
  • Machine learning and cybersecurity

The duo also discuss what's coming next on the Forensic Focus podcast.

Show Notes:

European Interdisciplinary Cybersecurity Conference: https://www.fvv.um.si/eicc2023/

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference: https://dl.acm.org/doi/proceedings/10.1145/3590777

Conference program: https://www.fvv.um.si/eicc2023/static/docs/EICC2023_program.pdf

Improving file-level fuzzy hashes for malware variant classification: https://www.sciencedirect.com/science/article/pii/S1742287619300283

  continue reading

85 afleveringen

Artwork
iconDelen
 
Manage episode 367831921 series 2568929
Inhoud geleverd door Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Forensic Focus, Forensic Focus: Digital Forensics, Incident Response, and DFIR of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Si and Desi recap the European Interdisciplinary Cybersecurity Conference (EICC) 2023, which hosted a range of talks and discussions on fields related to cybersecurity.

Si highlights some of the talks he found most interesting, including those on the following topics:

  • Research conducted at the University of Kent on the prevalence of child sexual abuse material (CSAM) in the DarkWeb, including differences between English- and Chinese-language marketplaces
  • Tracking vehicles and anonymising personal data in a way that still allows useful statistical analysis
  • Conversion of malware binaries into visual images, allowing for the detection of malware families and programs by visual analysis
  • Detecting device fingerprinting on iOS with API function hooking
  • Age classification from images, including potential challenges, theoretical uses and current accuracy levels
  • Machine learning and cybersecurity

The duo also discuss what's coming next on the Forensic Focus podcast.

Show Notes:

European Interdisciplinary Cybersecurity Conference: https://www.fvv.um.si/eicc2023/

Proceedings of the 2023 European Interdisciplinary Cybersecurity Conference: https://dl.acm.org/doi/proceedings/10.1145/3590777

Conference program: https://www.fvv.um.si/eicc2023/static/docs/EICC2023_program.pdf

Improving file-level fuzzy hashes for malware variant classification: https://www.sciencedirect.com/science/article/pii/S1742287619300283

  continue reading

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