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CW
2003
IEEE
13 years 12 months ago
Utilizing Statistical Characteristics of N-grams for Intrusion Detection
Information and infrastructure security is a serious issue of global concern. As the last line of defense for security infrastructure, intrusion detection techniques are paid more...
Zhuowei Li, Amitabha Das, Sukumar Nandi
KAIS
2007
120views more  KAIS 2007»
13 years 6 months ago
Capabilities of outlier detection schemes in large datasets, framework and methodologies
Abstract. Outlier detection is concerned with discovering exceptional behaviors of objects. Its theoretical principle and practical implementation lay a foundation for some importa...
Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, David W...
IJDSN
2006
136views more  IJDSN 2006»
13 years 6 months ago
Intrusion Detection for Routing Attacks in Sensor Networks
Security is a critical challenge for creating robust and reliable sensor networks. For example, routing attacks have the ability to disconnect a sensor network from its central ba...
Chong Eik Loo, Mun Yong Ng, Christopher Leckie, Ma...
CANS
2005
Springer
134views Cryptology» more  CANS 2005»
14 years 4 days ago
A New Unsupervised Anomaly Detection Framework for Detecting Network Attacks in Real-Time
Abstract. In this paper, we propose a new unsupervised anomaly detection framework for detecting network intrusions online. The framework consists of new anomalousness metrics name...
Wei Lu, Issa Traoré
CNSR
2008
IEEE
155views Communications» more  CNSR 2008»
14 years 1 months ago
Detecting Network Anomalies Using Different Wavelet Basis Functions
Signal processing techniques have been applied recently for analyzing and detecting network anomalies due to their potential to find novel or unknown intrusions. In this paper, we...
Wei Lu, Mahbod Tavallaee, Ali A. Ghorbani