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Rohit Dhamankar & Rob King: PISA: Protocol Identification via Statistical Analysis

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Manage episode 152211983 series 1053194
Inhoud geleverd door Black Hat Briefings, USA 2007 [Video] Presentations from the security conference.. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Black Hat Briefings, USA 2007 [Video] Presentations from the security conference. 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.
A growing number of proprietary protocols are using end-to-end encryption to avoid being detected via network-based systems performing Intrusion Detection/Prevention and Application Rate Shaping. Attackers frequently use well known ports that are open through most firewalls to tunnel commands for controlling zombie systems.
This presentation shows that a framework is indeed possible to identify encrypted protocols or anomalous usage of well known ports. The framework relies on performing statistical analysis on protocol packets and flows, and uniquely maps each protocol in a 10-dimensional space. Clustering algorithms are applied to accurately identify a wide variety of protocols.
This novel approach provides network and security administrators a powerful tool to use in enforcing traffic policy, even when users are actively attempting to evade these policies. An open-source implementation will be released during the presentation.
  continue reading

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iconDelen
 
Manage episode 152211983 series 1053194
Inhoud geleverd door Black Hat Briefings, USA 2007 [Video] Presentations from the security conference.. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Black Hat Briefings, USA 2007 [Video] Presentations from the security conference. 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.
A growing number of proprietary protocols are using end-to-end encryption to avoid being detected via network-based systems performing Intrusion Detection/Prevention and Application Rate Shaping. Attackers frequently use well known ports that are open through most firewalls to tunnel commands for controlling zombie systems.
This presentation shows that a framework is indeed possible to identify encrypted protocols or anomalous usage of well known ports. The framework relies on performing statistical analysis on protocol packets and flows, and uniquely maps each protocol in a 10-dimensional space. Clustering algorithms are applied to accurately identify a wide variety of protocols.
This novel approach provides network and security administrators a powerful tool to use in enforcing traffic policy, even when users are actively attempting to evade these policies. An open-source implementation will be released during the presentation.
  continue reading

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