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» Intrusion Detection with Neural Networks
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NDSS
2007
IEEE
14 years 2 months ago
Generic Application-Level Protocol Analyzer and its Language
Application-level protocol analyzers are important components in tools such as intrusion detection systems, firewalls, and network monitors. Currently, protocol analyzers are wri...
Nikita Borisov, David Brumley, Helen J. Wang, John...
ANCS
2009
ACM
13 years 5 months ago
SPC-FA: synergic parallel compact finite automaton to accelerate multi-string matching with low memory
Deterministic Finite Automaton (DFA) is well-known for its constant matching speed in worst case, and widely used in multistring matching, which is a critical technique in high pe...
Junchen Jiang, Yi Tang, Bin Liu, Xiaofei Wang, Yan...
CCS
2009
ACM
14 years 2 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
ACSAC
2006
IEEE
14 years 2 months ago
V-COPS: A Vulnerability-Based Cooperative Alert Distribution System
The efficiency of promptly releasing security alerts of established analysis centers has been greatly challenged by the continuous emergence of various large scale network attack...
Shiping Chen, Dongyu Liu, Songqing Chen, Sushil Ja...
IMC
2006
ACM
14 years 2 months ago
binpac: a yacc for writing application protocol parsers
A key step in the semantic analysis of network traffic is to parse the traffic stream according to the high-level protocols it contains. This process transforms raw bytes into s...
Ruoming Pang, Vern Paxson, Robin Sommer, Larry L. ...