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Threat Detection and Defenses

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Threat Detection and Defenses

Attack-detection mechanisms should be able to reliably detect, predict, and understandably explain both known and novel threats, while also being able to cope with evasion techniques (like obfuscation, polymorphism, or stealth low-volume attacks). They should not just be able to detect any critical incident, but also raise alarms when it matters only; the more false alarms are raised, the higher the risk that users will ignore warnings or even disable the detection permanently. Moreover, to provide a strong line of defense, attack detection methods should be complemented by suitable defensive technologies, ideally selected autonomously by the system under attack, to counter whatever threat it encounters. In this research area we pursue this ideal, currently amongst others by focusing on the detection and analysis of modern malware, on the prevention and attribution of DDoS attacks, and on the identification and mitigation of novel system vulnerabilities.

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Most Recent Publications

Title Date Authors Meta
 2019
CCS
2019
 Florian Tramèr, Pascal Dupré, Rusak Gili, Giancarlo Pellegrino, Dan Boneh
 NRA3 , NRA1
 CCS 19
 2019
2019
 Kathrin Grosse, Thomas A. Trost, Marius Mosbach, Michael Backes
 NRA2 , NRA3
 ArXiv e-prints
 2019
NDSS
2019
 Marius Steffens, Christian Rossow, Martin Johns, Ben Stock
 NRA5 , NRA3
 NDSS Symposium 2019
 2019
IEEE S&P
2019
 Saba Eskandarian, Jonathan Cogan, Sawyer Birnbaum, Peh Chang Wei Brandon, Dillon Franke, Forest Fraser, Gaspar Garcia, Eric Gong, Hung T. Nguyen, Taresh K. Sethi, Vishal Subbiah, Michael Backes, Giancarlo Pellegrino, Dan Boneh
 NRA3 , NRA5
 S&P 2019
 2019
NDSS
2019
 Qingchuan Zhao, Chaoshun Zuo, Giancarlo Pellegrino, Li Zhiqiang
 NRA5 , NRA3
 NDSS Symposium 2019