With rapidly increment of internet traffic, the importance of cyber security also increases
significantly. Several areas like IP traffic classifications, detection of-intrusion, spam and …

This paper represents a converged exposition of machine learning approach on various
network security applications specifying the possible future scope and detailed outcome of …

The Internet continues to spread itself over the globe, providing a great opportunity for
various threats which are growing on a daily basis. Current static detection techniques only …

Abstract Machine Learning is one of the effective responses to trivial attacks, starting with the
Internet Protocol traffic classification and the filtering of mistreatment traffic for intrusion …

Abstract Machine learning is more and more used in various fields of the industry, which go
from the self driving car to the computer security. Nowadays, with the huge network traffic …

The main objective of intrusion detection systems (IDS) is to discover the dynamic and the
virulent form of network traffic that simply changes according to the characteristics of the …

Network security is the most challenging task of the modern digital era. Due to the
development in internet, the number of network attacks has also increased, this is prevented …

Cyberspace has grown due to the widespread uses of the Internets and mobiles apps.
Attacks on the Internet are more likely to be automated and to last longer. Cyber security …

In order to examine malicious activity that occurs in a network or a system, intrusion
detection system is used. Intrusion Detection is software or a device that scans a system or a …

In the last decades, due to the improvements in networking techniques and the increased
use of the Internet, the digital communications entered all of the activities in the global …