53 search results - page 10 / 11 » Data Mining for Intrusion Detection: From Outliers to True I... |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
KDD
2002
ACM
14 years 5 months ago
2002
ACM
Traditional intrusion detection systems (IDS) detect attacks by comparing current behavior to signatures of known attacks. One main drawback is the inability of detecting new atta...
SIGMOD
2010
ACM
13 years 10 months ago
2010
ACM
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...