IntruDTree: A Machine Learning Based Cyber Security Intrusion Detection Model

Cyber security has recently received enormous attention in today’s security concerns, due to the popularity of the Internet-of-Things (IoT), the tremendous growth of computer networks, and the huge number of relevant applications. Thus, detecting various cyber-attacks or anomalies in a network and b...

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Bibliographic Details
Published in:	Symmetry (Basel) Vol. 12; no. 5; p. 754
Main Authors:	Sarker, Iqbal H., Abushark, Yoosef B., Alsolami, Fawaz, Khan, Asif Irshad
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2020
Subjects:	Accuracy Analysis Anomalies Artificial intelligence Computer networks Cybersecurity Cyberterrorism Detection equipment Internet of Things Internet security Intrusion detection systems Machine learning Malware Network security Regression analysis Security management Support vector machines Australia
ISSN:	2073-8994, 2073-8994
Online Access:	Get full text
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