CNSR
2008
IEEE
13 years 11 months ago
2008
IEEE
During the last decade, anomaly detection has attracted the attention of many researchers to overcome the weakness of signature-based IDSs in detecting novel attacks. However, hav...
SIGCOMM
2009
ACM
13 years 11 months ago
2009
ACM
In this paper, we study the impact of today’s IT policies, defined based upon a monoculture approach, on the performance of endhost anomaly detectors. This approach leads to th...
ISSTA
2009
ACM
13 years 11 months ago
2009
ACM
Dynamic analysis techniques have been extensively adopted to discover causes of observed failures. In particular, anomaly detection techniques can infer behavioral models from obs...
RAID
2009
Springer
13 years 11 months ago
2009
Springer
The deployment and use of Anomaly Detection (AD) sensors often requires the intervention of a human expert to manually calibrate and optimize their performance. Depending on the si...
RAID
2009
Springer
13 years 11 months ago
2009
Springer
Because of the ad hoc nature of web applications, intrusion detection systems that leverage machine learning techniques are particularly well-suited for protecting websites. The re...
ICARIS
2009
Springer
13 years 11 months ago
2009
Springer
As one of the newest members in Artificial Immune Systems (AIS), the Dendritic Cell Algorithm (DCA) has been applied to a range of problems. These applications mainly belong to th...
CCS
2009
ACM
13 years 11 months ago
2009
ACM
Large-scale distributed systems have dense, complex code-bases that are assumed to perform multiple and inter-dependent tasks while user interaction is present. The way users inte...
CCS
2009
ACM
13 years 11 months ago
2009
ACM
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
CVPR
2010
IEEE
14 years 25 days ago
2010
IEEE
A novel method for crowd flow modeling and anomaly detection is proposed for both coherent and incoherent scenes. The novelty is revealed in three aspects. First, it is a unique ut...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Extremely crowded scenes present unique challenges to
video analysis that cannot be addressed with conventional
approaches. We present a novel statistical framework for
modeling...