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George D. Webster

George Davis Webster III

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affiliation (PhD 2020): Technical University of Munich, Germany

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Books and Theses

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2020
[b1]
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  - electronic edition @ nbn-resolving.org
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George Davis Webster III:
Resizing Threats: Developing Methodologies and Techniques for Large-scale Security Analytics. Technical University of Munich, Germany, 2020

Conference and Workshop Papers

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2018
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  - conf/ithings/WebsterHHHG018
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George D. Webster, Ryan L. Harris, Zachary D. Hanif, Bruce A. Hembree, Jens Grossklags, Claudia Eckert:
Sharing is Caring: Collaborative Analysis and Real-Time Enquiry for Security Analytics. iThings/GreenCom/CPSCom/SmartData 2018: 1402-1409
2017
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George D. Webster, Bojan Kolosnjaji, Christian von Pentz, Julian Kirsch, Zachary D. Hanif, Apostolis Zarras, Claudia Eckert:
Finding the Needle: A Study of the PE32 Rich Header and Respective Malware Triage. DIMVA 2017: 119-138
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  - conf/ijcnn/KolosnjajiEWZE17
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Bojan Kolosnjaji, Ghadir Eraisha, George D. Webster, Apostolis Zarras, Claudia Eckert:
Empowering convolutional networks for malware classification and analysis. IJCNN 2017: 3838-3845
2016
[c4]
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Bojan Kolosnjaji, Apostolis Zarras, George D. Webster, Claudia Eckert:
Deep Learning for Classification of Malware System Call Sequences. Australasian Conference on Artificial Intelligence 2016: 137-149
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Bojan Kolosnjaji, Apostolis Zarras, Tamas K. Lengyel, George D. Webster, Claudia Eckert:
Adaptive Semantics-Aware Malware Classification. DIMVA 2016: 419-439
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George D. Webster, Zachary D. Hanif, Andre L. P. Ludwig, Tamas K. Lengyel, Apostolis Zarras, Claudia Eckert:
SKALD: A Scalable Architecture for Feature Extraction, Multi-user Analysis, and Real-Time Information Sharing. ISC 2016: 231-249
2014
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  - conf/acsac/LengyelMPWVK14
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Tamas K. Lengyel, Steve Maresca, Bryan D. Payne, George D. Webster, Sebastian Vogl, Aggelos Kiayias:
Scalability, fidelity and stealth in the DRAKVUF dynamic malware analysis system. ACSAC 2014: 386-395

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