Signature-based anomaly intrusion detection using integrated data mining classifiers

Signature-based anomaly intrusion detection using integrated data mining classifiers

As the influence of Internet and networking technologies as communication medium advance and expand across the globe, cyber attacks also grow accordingly. Anomaly detection systems (ADSs) are employed to scrutinize information such as packet behaviours coming from various locations on network to fin...

Full description

Bibliographic Details
Main Authors: Yassin, Warusia, Udzir, Nur Izura, Abdullah, Azizol, Abdullah @ Selimun, Mohd Taufik, Zulzalil, Hazura, Muda, Zaiton
Format: Conference or Workshop Item
Language:English
Published: IEEE 2014
Online Access:http://psasir.upm.edu.my/id/eprint/47759/
http://psasir.upm.edu.my/id/eprint/47759/1/Signature-based%20anomaly%20intrusion%20detection%20using%20integrated%20data%20mining%20classifiers.pdf

Internet

http://psasir.upm.edu.my/id/eprint/47759/
http://psasir.upm.edu.my/id/eprint/47759/1/Signature-based%20anomaly%20intrusion%20detection%20using%20integrated%20data%20mining%20classifiers.pdf

Similar Items