Network anomaly detection approach based on frequent pattern mining technique
With the tremendous growth of shopping, banking, and other business transactions over computers network in the last two decades, The number of potential cyber-attacks by intruders has increased. Therefore the efforts are continually required in order to improve the effectiveness of detecting the net...
Saved in:
| Main Authors: | Dominic, D.D., Said, A.M. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31358 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2014
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946689632&doi=10.1109%2fICCST.2014.7045011&partnerID=40&md5=78c860e4231bac3bff69ba73b56bab6a http://eprints.utp.edu.my/31358/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Real-time network anomaly detection architecture based on frequent pattern mining technique
by: Said, A.M., et al.
Published: (2013) -
Knitting double : mastering the two-colour technique with over 30 reversible projects /
by: Belle, Anja
Published: (2014) -
Jelly roll scraps /
by: Forster, Carolyn
Published: (2014) -
Artificial neural network for anomalies detection in distillation column
by: Taqvi, S.A., et al.
Published: (2017) -
Algorithms for frequent itemset mining: a literature review
by: Chee, C.-H., et al.
Published: (2018)