際際滷shows by User: AustinTaylor8 / http://www.slideshare.net/images/logo.gif 際際滷shows by User: AustinTaylor8 / Sat, 24 Jun 2017 13:36:17 GMT 際際滷Share feed for 際際滷shows by User: AustinTaylor8 Threat Hunting with Data Science /AustinTaylor8/threat-hunting-with-data-science austintaylordatasciencehunt-170624133617
After anomalous network traffic has been identified there can still be an abundance of results for an analyst to process. This presentation is for data scientist and network security professionals who want to increase the signal-to-noise. Flare is a network analytic framework designed for data scientists, security researchers, and network professionals. Written in python, flare is designed for rapid prototyping and development of behavioral analytics. Flare comes with a collection of pre-built utility functions useful for performing feature extraction. Using flare, we'll walk through identifying Domain Generation Algorithms (DGA) commonly used in malware and how to reduce the dataset to a manageable amount for security professionals to process. We'll also explore flare's beaconing detection which can be used with the output from popular Intrusion Detection System (IDS) frameworks. More information on flare can be found at https://github.com/austin-taylor/flare www.austintaylor.io ]]>
After anomalous network traffic has been identified there can still be an abundance of results for an analyst to process. This presentation is for data scientist and network security professionals who want to increase the signal-to-noise. Flare is a network analytic framework designed for data scientists, security researchers, and network professionals. Written in python, flare is designed for rapid prototyping and development of behavioral analytics. Flare comes with a collection of pre-built utility functions useful for performing feature extraction. Using flare, we'll walk through identifying Domain Generation Algorithms (DGA) commonly used in malware and how to reduce the dataset to a manageable amount for security professionals to process. We'll also explore flare's beaconing detection which can be used with the output from popular Intrusion Detection System (IDS) frameworks. More information on flare can be found at https://github.com/austin-taylor/flare www.austintaylor.io ]]> Sat, 24 Jun 2017 13:36:17 GMT /AustinTaylor8/threat-hunting-with-data-science AustinTaylor8@slideshare.net(AustinTaylor8) Threat Hunting with Data Science AustinTaylor8 After anomalous network traffic has been identified there can still be an abundance of results for an analyst to process. This presentation is for data scientist and network security professionals who want to increase the signal-to-noise. Flare is a network analytic framework designed for data scientists, security researchers, and network professionals. Written in python, flare is designed for rapid prototyping and development of behavioral analytics. Flare comes with a collection of pre-built utility functions useful for performing feature extraction. Using flare, we'll walk through identifying Domain Generation Algorithms (DGA) commonly used in malware and how to reduce the dataset to a manageable amount for security professionals to process. We'll also explore flare's beaconing detection which can be used with the output from popular Intrusion Detection System (IDS) frameworks. More information on flare can be found at https://github.com/austin-taylor/flare www.austintaylor.io <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/austintaylordatasciencehunt-170624133617-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> After anomalous network traffic has been identified there can still be an abundance of results for an analyst to process. This presentation is for data scientist and network security professionals who want to increase the signal-to-noise. Flare is a network analytic framework designed for data scientists, security researchers, and network professionals. Written in python, flare is designed for rapid prototyping and development of behavioral analytics. Flare comes with a collection of pre-built utility functions useful for performing feature extraction. Using flare, we&#39;ll walk through identifying Domain Generation Algorithms (DGA) commonly used in malware and how to reduce the dataset to a manageable amount for security professionals to process. We&#39;ll also explore flare&#39;s beaconing detection which can be used with the output from popular Intrusion Detection System (IDS) frameworks. More information on flare can be found at https://github.com/austin-taylor/flare www.austintaylor.io
Threat Hunting with Data Science from Austin Taylor
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