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ICAC
2006
IEEE
16 years 22 days ago
Fast and Effective Worm Fingerprinting via Machine Learning
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
Stewart M. Yang, Jianping Song, Harish Rajamani, T...
JVM
2004
133views Education» more  JVM 2004»
15 years 8 months ago
Towards Virtual Networks for Virtual Machine Grid Computing
Virtual machines can greatly simplify wide-area discomputing by lowering the level of abstraction to the benefit of both resource providers and users. Networking, however, can be ...
Ananth I. Sundararaj, Peter A. Dinda
JAR
2006
103views more  JAR 2006»
15 years 6 months ago
A Framework for Verifying Bit-Level Pipelined Machines Based on Automated Deduction and Decision Procedures
We describe an approach to verifying bit-level pipelined machine models using a combination of deductive reasoning and decision procedures. While theorem proving systems such as AC...
Panagiotis Manolios, Sudarshan K. Srinivasan
MODELS
2007
Springer
16 years 24 days ago
Enhancing UML State Machines with Aspects
Abstract. Separation of Concerns (SoC) is an important issue to reduce the complexity of software. Recent advances in programming language research show that Aspect-Oriented Progra...
Gefei Zhang, Matthias M. Hölzl, Alexander Kna...
SP
2010
IEEE
187views Security Privacy» more  SP 2010»
15 years 10 months ago
Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
Abstract—In network intrusion detection research, one popular strategy for finding attacks is monitoring a network’s activity for anomalies: deviations from profiles of norma...
Robin Sommer, Vern Paxson