Artwork

Black Hat / CMP and Jeff Moss에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Black Hat / CMP and Jeff Moss 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Player FM -팟 캐스트 앱
Player FM 앱으로 오프라인으로 전환하세요!

Greg Conti: Beyond Ethereal: Crafting A Tivo for Security Datastreams

1:10:19
 
공유
 

Manage episode 155121466 series 1146744
Black Hat / CMP and Jeff Moss에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Black Hat / CMP and Jeff Moss 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Ethereal is a thing of beauty, but ultimately you are constrained to a tiny window of 30-40 packets that is insufficient when dealing with network datasets that could be on the order of millions of packets. In addition, it only displays traffic from packet captures and lacks the ability to incorporate and correlate other security related datastreams. In an attempt to break from this paradigm, we will explore conceptual, system design and implementation techniques to help you build better security analysis tools. By applying advanced information visualization and interaction techniques such as dynamic queries, interactive encoding, semantic zooming, n-gram analysis and rainfall visualization you will gain far more insight into your data, far more quickly than with today's best tools. We will discuss lessons learned from the implementation of a security PVR (a prototype will be released) and explore additional topics such as using visual techniques to navigate and semantically encode small and large binary objects, such as executable files, to improve reverse engineering. To get the most out of this talk you should have a solid understanding of the OSI model and network protocols. Greg Conti is an Assistant Professor of Computer Science at the United States Military Academy. He holds a Masters Degree in Computer Science from Johns Hopkins University and a Bachelor of Science in Computer Science from the United States Military Academy. His areas of expertise include network security, information visualization and information warfare. Greg has worked at a variety of military intelligence assignments specializing in Signals Intelligence. Currently he is on a Department of Defense Fellowship and is working on his PhD in Computer Science at Georgia Tech. His work can be found at www.cc.gatech.edu/~conti and www.rumint.org.
  continue reading

61 에피소드

Artwork
icon공유
 
Manage episode 155121466 series 1146744
Black Hat / CMP and Jeff Moss에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Black Hat / CMP and Jeff Moss 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
Ethereal is a thing of beauty, but ultimately you are constrained to a tiny window of 30-40 packets that is insufficient when dealing with network datasets that could be on the order of millions of packets. In addition, it only displays traffic from packet captures and lacks the ability to incorporate and correlate other security related datastreams. In an attempt to break from this paradigm, we will explore conceptual, system design and implementation techniques to help you build better security analysis tools. By applying advanced information visualization and interaction techniques such as dynamic queries, interactive encoding, semantic zooming, n-gram analysis and rainfall visualization you will gain far more insight into your data, far more quickly than with today's best tools. We will discuss lessons learned from the implementation of a security PVR (a prototype will be released) and explore additional topics such as using visual techniques to navigate and semantically encode small and large binary objects, such as executable files, to improve reverse engineering. To get the most out of this talk you should have a solid understanding of the OSI model and network protocols. Greg Conti is an Assistant Professor of Computer Science at the United States Military Academy. He holds a Masters Degree in Computer Science from Johns Hopkins University and a Bachelor of Science in Computer Science from the United States Military Academy. His areas of expertise include network security, information visualization and information warfare. Greg has worked at a variety of military intelligence assignments specializing in Signals Intelligence. Currently he is on a Department of Defense Fellowship and is working on his PhD in Computer Science at Georgia Tech. His work can be found at www.cc.gatech.edu/~conti and www.rumint.org.
  continue reading

61 에피소드

모든 에피소드

×
 
Loading …

플레이어 FM에 오신것을 환영합니다!

플레이어 FM은 웹에서 고품질 팟캐스트를 검색하여 지금 바로 즐길 수 있도록 합니다. 최고의 팟캐스트 앱이며 Android, iPhone 및 웹에서도 작동합니다. 장치 간 구독 동기화를 위해 가입하세요.

 

빠른 참조 가이드