AISEC 2012

5th ACM Workshop on Artificial Intelligence and Security


Conference site: CCS'2012

Past AISEC workshops:
2008 2009 2010 2011



07:30-08:30 Breakfast

Chairs' Welcome

Álvaro Cárdenas (Fujitsu Labs of America), Blaine Nelson (University of Tübingen), Ben Rubinstein (Microsoft Research)



Keynote Session
Chair: Ben Rubinstein (Microsoft Research) 


Machine Learning Meets Social Networking Security -- Detecting and Analyzing Malicious Social Networks for Fun and Profit

Guofei Gu (Texas A&M University) 




Morning Break 



Session 1: Automated Malware-Detection and Information-Redaction Systems

Chair: Guofei Gu (Texas A&M University)


Improving Malware Classification: Bridging the Static/Dynamic Gap

Blake Anderson, Curtis Storlie (Los Alamos National Lab) and Terran Lane (Google)


Early Detection of Malicious Behavior in JavaScript Code

Kristof Schütt, Marius Kloft, Alexander Bikadorov (Technische Universität Berlin) and Konrad Rieck (University of Göttingen)


An Information Theoretic Framework for Web Inference Detection

Hoi Le and Rei Safavi-Naini (University of Calgary)




Lunch Break 



Session 2: Network Security

Chair: Doug Tygar (UC Berkeley)


On the Effectiveness of using State-of-the-art Machine Learning Techniques to Launch Cryptographic Distinguishing Attacks

Jung-Wei Chou, Shou-De Lin and Chen-Mou Cheng (National Taiwan University)


Nonparametric Semi-Supervised Learning for Network Intrusion Detection: Combining Performance Improvements with Realistic In-Situ Training

Christopher Symons and Justin Beaver (Oak Ridge National Lab)



Session 3: Spam Detection

Chair: Anthony Joseph (UC Berkeley)


Robust Detection of Comment Spam Using Entropy Rate

Alex Kantchelian, Justin Ma (UC Berkeley), Ling Huang (Intel), Sadia Afroz (Drexel University), Anthony Joseph and J. D. Tygar (UC Berkeley)


Understanding the Time-series Behavioral Characteristics of Evolutionally Advanced Email Spammers

Yukiko Sawaya, Ayumu Kubota and Akira Yamada (KDDI R&D Labs)




Afternoon Break 



Session 4: Attack Studies

Chair: Blaine Nelson (University of Tübingen) 


Tracking Concept Drift in Malware Families

Anshuman Singh, Andrew Walenstein and Arun Lakhotia (University of Louisiana at Lafayette)


Autonomous Learning for Detection of JavaScript Attacks: Vision or Reality?

Guido Schwenk, Alexander Bikadorov, Tammo Krueger (Technische Universität Berlin) and Konrad Rieck (University of Göttingen)


Learning Stateful Models for Network Honeypots

Tammo Krueger, Hugo Gascon (Technische Universitaet Berlin), Nicole Krämer (Technische Universität München) and Konrad Rieck (University of Göttingen)