Network Intrusion Detection: Taxonomy and Machine Learning Applications | IBOOK.PUB

Network Intrusion Detection: Taxonomy and Machine Learning Applications

Information and Communication Technologies (ICT) has revolutionized our lives and transform it into a knowledge centric world. Where information is available just under few clicks. This advancement introduced different challenges and problems. One big cha

PDF / 19,300,525 Bytes
533 Pages / 453.543 x 683.15 pts Page_size
32 Downloads / 255 Views

Data Loading...

Recommend Documents

Intrusion Detection in Ad Hoc Network Using Machine Learning Technique

199 11 8MB

Detection of Network Intrusion and Classification of Cyberattack Using Machine Learning Algorithms: A Multistage Classif

160 24 14MB

Comparative Study of Clustering for Intrusion Detection in Machine Learning

157 77 29MB

Understanding the Decision of Machine Learning Based Intrusion Detection Systems

203 98 45MB

Network Intrusion Detection for TCP/IP Packets with Machine Learning Techniques

161 74 18MB

Signal Processing Applications in Network Intrusion Detection Systems

183 24 120KB

Wireless and Intrusion Detection System Network Security

173 25 9MB

Combining Heterogeneous Classifiers for Network Intrusion Detection

185 23 167KB

Software-Defined Network-Based Intrusion Detection System

196 83 245KB

Network intrusion detection using multi-architectural modular deep neural network

196 70 1MB

Network Intrusion Detection and Prevention Concepts and Techniqu

150 79 3MB

Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI

225 13 86MB