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Black Hat and Jeff Moss द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Black Hat and Jeff Moss या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
Player FM - पॉडकास्ट ऐप
Player FM ऐप के साथ ऑफ़लाइन जाएं!
Player FM ऐप के साथ ऑफ़लाइन जाएं!
Thorsten Holz: Catching Malware to Detect, Track and Mitigate Botnets (Japanese)
MP3•एपिसोड होम
Manage episode 152728415 series 1069451
Black Hat and Jeff Moss द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Black Hat and Jeff Moss या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
"Botnets pose a severe threat to the today?s Internet community. We show a solution to automatically, find, observe and shut down botnets with existing opensource tools, partially developed by us. We start with a discussion of a technique to automatically collect bots with the help of the tool nepenthes.We present the architecture and give technical details of the implementation. After some more words on the effectiveness of this approach we present an automated way to analyze the collected binaries. All these steps can be automated to a high degree, allowing us to build a system that autonomously collects information about existing botnets. This information can then be aggregated and correlated to learn even more. As a result, we obtain information that can be used to mitigate the threat, e.g., as a warning-system within networks or as an information ressource for CERTs. We conclude the talk with an overview of lessons learned and point out further research topics in the area of botnet tracking. Attentands are expected to have a basic knowledge of honeypots and how honeynets work. All necessary information about bots/botnets will be introduced during the talk and the live demonstrations."
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15 एपिसोडस
Thorsten Holz: Catching Malware to Detect, Track and Mitigate Botnets (Japanese)
Black Hat Briefings, Japan 2006 [Audio] Presentations from the security conference
MP3•एपिसोड होम
Manage episode 152728415 series 1069451
Black Hat and Jeff Moss द्वारा प्रदान की गई सामग्री. एपिसोड, ग्राफिक्स और पॉडकास्ट विवरण सहित सभी पॉडकास्ट सामग्री Black Hat and Jeff Moss या उनके पॉडकास्ट प्लेटफ़ॉर्म पार्टनर द्वारा सीधे अपलोड और प्रदान की जाती है। यदि आपको लगता है कि कोई आपकी अनुमति के बिना आपके कॉपीराइट किए गए कार्य का उपयोग कर रहा है, तो आप यहां बताई गई प्रक्रिया का पालन कर सकते हैं https://hi.player.fm/legal।
"Botnets pose a severe threat to the today?s Internet community. We show a solution to automatically, find, observe and shut down botnets with existing opensource tools, partially developed by us. We start with a discussion of a technique to automatically collect bots with the help of the tool nepenthes.We present the architecture and give technical details of the implementation. After some more words on the effectiveness of this approach we present an automated way to analyze the collected binaries. All these steps can be automated to a high degree, allowing us to build a system that autonomously collects information about existing botnets. This information can then be aggregated and correlated to learn even more. As a result, we obtain information that can be used to mitigate the threat, e.g., as a warning-system within networks or as an information ressource for CERTs. We conclude the talk with an overview of lessons learned and point out further research topics in the area of botnet tracking. Attentands are expected to have a basic knowledge of honeypots and how honeynets work. All necessary information about bots/botnets will be introduced during the talk and the live demonstrations."
…
continue reading
15 एपिसोडस
Semua episod
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प्लेयर एफएम वेब को स्कैन कर रहा है उच्च गुणवत्ता वाले पॉडकास्ट आप के आनंद लेंने के लिए अभी। यह सबसे अच्छा पॉडकास्ट एप्प है और यह Android, iPhone और वेब पर काम करता है। उपकरणों में सदस्यता को सिंक करने के लिए साइनअप करें।