Machine learning algorithms in context of intrusion detection
Design of efficient, accurate, and low complexity intrusion detection system is a challenging task. Intrusion detection method is a core of intrusion detection system and it can be either signature based or anomaly based. Although, signature based has high detection rate but it cannot detect novel a...
Saved in:
Main Authors: | Mehmood, T., Rais, H.B.Md. |
---|---|
Format: | Conference or Workshop Item |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2016
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010441018&doi=10.1109%2fICCOINS.2016.7783243&partnerID=40&md5=37d80b88b2489ef334bfbdc307b17227 http://eprints.utp.edu.my/30473/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Feature selection in intrusion detection, state of the art: A review
by: Rais, H.M., et al.
Published: (2016) -
Comparison of machine learning algorithms to build optimized Network intrusion detection system
by: Parveen Sultana, H., et al.
Published: (2019) -
A hybrid intrusion detection system based on different machine learning algorithms
by: Atefi, Kayvan, et al.
Published: (2013) -
Performance evaluation for different intrusion detection system algorithms using machine learning
by: Zarir, Mustafa Nadhim
Published: (2018) -
Hybrid machine learning technique for intrusion detection system
by: Mohamad Tahir, Hatim, et al.
Published: (2015)