| dc.contributor.author |
Poulose Jacob,K |
|
| dc.contributor.author |
Surekha, Mariam Varghese |
|
| dc.date.accessioned |
2014-06-11T05:54:55Z |
|
| dc.date.available |
2014-06-11T05:54:55Z |
|
| dc.date.issued |
2007-04-10 |
|
| dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/3864 |
|
| dc.description |
Availability, Reliability and Security, 2007. ARES 2007. The Second International Conference on |
en_US |
| dc.description.abstract |
In this paper we discuss our research in
developing general and systematic method for anomaly
detection. The key ideas are to represent normal
program behaviour using system call frequencies and
to incorporate probabilistic techniques for
classification to detect anomalies and intrusions.
Using experiments on the sendmail system call data,
we demonstrate that we can construct concise and
accurate classifiers to detect anomalies. We provide an
overview of the approach that we have implemented |
en_US |
| dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.subject |
anomaly detection. |
en_US |
| dc.subject |
system call frequencies |
en_US |
| dc.subject |
incorporate probabilistic techniques |
en_US |
| dc.subject |
sendmail system call data |
en_US |
| dc.title |
Process profiling using frequencies of system calls |
en_US |
| dc.type |
Article |
en_US |