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ORCID5th AISec@CCS 2012: Raleigh, NC, USA
- Ting Yu, V. N. Venkatakrishan, Apu Kapadia:
Proceedings of the 5th ACM Workshop on Security and Artificial Intelligence, AISec 2012, Raleigh, NC, USA, October 19, 2012. ACM 2012, ISBN 978-1-4503-1664-4
Keynote address
- Guofei Gu:
Machine learning meets social networking security: detecting and analyzing malicious social networks for fun and profit. 1-2
Automated malware-detection and information-redaction systems
- Blake Anderson, Curtis B. Storlie, Terran Lane:
Improving malware classification: bridging the static/dynamic gap. 3-14 - Kristof Schütt
, Marius Kloft, Alexander Bikadorov, Konrad Rieck:
Early detection of malicious behavior in JavaScript code. 15-24 - Hoi Le Thi, Reihaneh Safavi-Naini:
An information theoretic framework for web inference detection. 25-36
Network security
- Tammo Krueger, Hugo Gascon, Nicole Krämer, Konrad Rieck:
Learning stateful models for network honeypots. 37-48 - Christopher T. Symons, Justin M. Beaver:
Nonparametric semi-supervised learning for network intrusion detection: combining performance improvements with realistic in-situ training. 49-58
Spam detection
- Alex Kantchelian, Justin Ma, Ling Huang, Sadia Afroz, Anthony D. Joseph, J. D. Tygar:
Robust detection of comment spam using entropy rate. 59-70 - Yukiko Sawaya, Ayumu Kubota, Akira Yamada:
Understanding the time-series behavioral characteristics of evolutionally advanced email spammers. 71-80
Attack studies
- Anshuman Singh, Andrew Walenstein, Arun Lakhotia:
Tracking concept drift in malware families. 81-92 - Guido Schwenk, Alexander Bikadorov, Tammo Krueger, Konrad Rieck:
Autonomous learning for detection of JavaScript attacks: vision or reality? 93-104 - Jung-Wei Chou, Shou-De Lin, Chen-Mou Cheng:
On the effectiveness of using state-of-the-art machine learning techniques to launch cryptographic distinguishing attacks. 105-110
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