Study on intrusion detection system (IDS) mostly allow network administrators to focus on
development activities in terms of network security and making better use of resource. Many …

Organizations that benefit from information technologies are vulnerable to various attacks
and malicious behaviors. Intrusion Detection Systems (IDS) are one of the main lines of …

Cybercrimes are cases of indictable offences and misdemeanors that involve computers or
communication tools as targets and commission instruments or are associated with the …

Abstract An Intrusion Detection System (IDS) is one of the fundamental building blocks in
securing a network. A huge number of techniques have been proposed and implemented to …

Diabetes is a common chronic illness or absence of sugar in the blood. The early detection
of this disease decreases the serious risk factor. Nowadays, Machine Learning based cloud …

Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …

The quantity of network attacks and the harm from them is constantly increasing, so the
detection of these attacks is an urgent task in the information security field. In this paper, we …

The amount of digital data in the universe is growing at an exponential rate with the rapid
development of digital information, and this reveals new machine learning methods …

Over the last few decades, pattern classification has become one of the most important fields
of artificial intelligence because it constitutes an essential component in many different real …

With the rapid development of digital information, the data volume generated by humans
and machines is growing exponentially. Along with this trend, machine learning algorithms …