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» Intrusion Detection with Neural Networks
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DAC
2007
ACM
16 years 4 months ago
Compact State Machines for High Performance Pattern Matching
Pattern matching is essential to a wide range of applications such as network intrusion detection, virus scanning, etc. Pattern matching algorithms normally rely on state machines...
Piti Piyachon, Yan Luo
139
Voted
USENIX
2008
15 years 6 months ago
Context-Aware Prefetching at the Storage Server
In many of today's applications, access to storage constitutes the major cost of processing a user request. Data prefetching has been used to alleviate the storage access lat...
Gokul Soundararajan, Madalin Mihailescu, Cristiana...
VIZSEC
2004
Springer
15 years 9 months ago
Passive visual fingerprinting of network attack tools
This paper examines the dramatic visual fingerprints left by a wide variety of popular network attack tools in order to better understand the specific methodologies used by attack...
Gregory J. Conti, Kulsoom Abdullah
165
Voted
GLOBECOM
2010
IEEE
15 years 1 months ago
Skip Finite Automaton: A Content Scanning Engine to Secure Enterprise Networks
Abstract--Today's file sharing networks are creating potential security problems to enterprise networks, i.e., the leakage of confidential documents. In order to prevent such ...
Junchen Jiang, Yi Tang, Bin Liu, Yang Xu, Xiaofei ...
132
Voted
AAMAS
2006
Springer
15 years 3 months ago
CONFIDANT: Collaborative Object Notification Framework for Insider Defense using Autonomous Network Transactions
File Integrity Analyzers serve as a component of an Intrusion Detection environment by performing filesystem inspections to verify the content of security-critical files in order ...
Adam J. Rocke, Ronald F. DeMara