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» Intrusion Detection with Neural Networks
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ACSAC
2007
IEEE
14 years 2 months ago
Improving Signature Testing through Dynamic Data Flow Analysis
The effectiveness and precision of network-based intrusion detection signatures can be evaluated either by direct analysis of the signatures (if they are available) or by using bl...
Christopher Kruegel, Davide Balzarotti, William K....
RAID
2007
Springer
14 years 2 months ago
Understanding Precision in Host Based Intrusion Detection
Abstract. Many host-based anomaly detection systems monitor process execution at the granularity of system calls. Other recently proposed schemes instead verify the destinations of...
Monirul I. Sharif, Kapil Singh, Jonathon T. Giffin...
ADBIS
2006
Springer
200views Database» more  ADBIS 2006»
14 years 2 months ago
Anomaly Detection Using Unsupervised Profiling Method in Time Series Data
The anomaly detection problem has important applications in the field of fraud detection, network robustness analysis and intrusion detection. This paper is concerned with the prob...
Zakia Ferdousi, Akira Maeda
HICSS
2009
IEEE
95views Biometrics» more  HICSS 2009»
14 years 3 months ago
Intrusion Monitoring in Process Control Systems
To protect process control networks from cyber intrusions, preventive security measures such as perimeter defenses (for example, network firewalls and demilitarized zones) and se...
Alfonso Valdes, Steven Cheung
TNC
2004
120views Education» more  TNC 2004»
13 years 9 months ago
Realtime Intrusion-Forensics: A First Prototype Implementation (based on a stack-based NIDS)
The function of a Network Intrusion Detection System (NIDS) is to identify any misuse and abnormal behavior determined as an attack to a network segment or network host. The propo...
Udo Payer