The distributed and open structure of cloud computing and services becomes an attractive
target for potential cyber-attacks by intruders. The traditional Intrusion Detection and …

In the last few decades, various network attacks have emerged. This phenomenon requires
serious consideration to address its extensive consequences. To overcome the effects of …

Mobile devices have become a significant part of people's lives, leading to an increasing
number of users involved with such technology. The rising number of users invites hackers …

In recent years the use of renewable energy including wind energy has risen dramatically.
Because of the increasing development of wind power production, improvement of the …

This paper applies discriminative multinomial Naïve Bayes with various filtering analysis in
order to build a network intrusion detection system. For our experimental analysis, we used …

Mobile device manufacturers are rapidly producing miscellaneous Android versions
worldwide. Simultaneously, cyber criminals are executing malicious actions, such as …

Due to increase in intrusion incidents over internet, many network intrusion detection
systems are developed to prevent network attacks. Data mining, pattern recognition and …

In recent years, mobile devices are ubiquitous. They are employed for purposes beyond
merely making phone calls. Among the mobile operating systems, Android is the most …

Sharing data among organizations often leads to mutual benefit. Recent technology in data
mining has enabled efficient extraction of knowledge from large databases. This, however …

In recent years, we have seen notable changes in the way attackers infiltrate computer
systems compromising their functionality. Research in intrusion detection systems aims to …