Difference between revisions of "AFSecurity Seminar"
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14:15h Invited talk | 14:15h Invited talk | ||
− | '''SPEAKER:''' Lukas Rist, HoneyNor | + | '''SPEAKER: ''' Lukas Rist, HoneyNor |
− | '''TITLE:''' ''Deploying Honeypots to Deceive and Thwart Adversaries'' | + | '''TITLE: ''' ''Deploying Honeypots to Deceive and Thwart Adversaries'' |
− | '''ABSTRACT:''' | + | '''ABSTRACT : ''' |
The Honeynet Project is a non-profit security research | The Honeynet Project is a non-profit security research | ||
organization, dedicated to investigating the latest attacks and | organization, dedicated to investigating the latest attacks and | ||
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utilization of an ICS honeypot. | utilization of an ICS honeypot. | ||
− | '''SPEAKER BIO:''' | + | '''SPEAKER BIO: ''' |
Lukas Rist is a software engineer with Blue Coat Norway | Lukas Rist is a software engineer with Blue Coat Norway | ||
where he develops behavioral malware analysis systems. In his spare | where he develops behavioral malware analysis systems. In his spare |
Revision as of 22:39, 27 July 2014
HoneyNet
Date: 20 August 2014.
Location: Meeting room Awk (room 3118), Ole-Johan Dahls hus (IfI).
Agenda
14:00h Welcome at IfI
14:15h Invited talk
SPEAKER: Lukas Rist, HoneyNor
TITLE: Deploying Honeypots to Deceive and Thwart Adversaries
ABSTRACT : The Honeynet Project is a non-profit security research organization, dedicated to investigating the latest attacks and developing open source security tools to improve Internet security. In this talk we give an overview over the various types of honeypots available, the data they collect and what we learn from them. Finally we will have a closer look at the development, deployment and utilization of an ICS honeypot.
SPEAKER BIO: Lukas Rist is a software engineer with Blue Coat Norway where he develops behavioral malware analysis systems. In his spare time, he creates web application and ICS/SCADA honeypots and botnet monitoring tools under the umbrella of the Honeynet Project. He recently developed an interest in industrial security and automated SQL statement classification.
15:00h Discussion