In this paper intrusion detection using Bayesian probability is discussed. The systems
designed are trained a priori using a subset of the KDD dataset. The trained classifier is then …

With the impending era of internet, the network security has become the key foundation for
lot of financial and business web applications. Intrusion detection is one of the looms to …

Many modern attacks are targeting the IoT devices in recent year. Most of IoT attacks are
botnet attacks. Even though there are many detections and preventing systems for cyber …

SQL injection attack poses a serious security threats among the Internet community
nowadays and it's continue to increase exploiting flaws found in the Web applications. In …

The rapid advanced technological development alongside the Internet with its cutting-edge
applications has positively impacted human society in many aspects. Nevertheless, it …

Network Intrusion Detection Systems (NIDS) play a fundamental role on security policy
deployment and help organizations in protecting their assets from network attacks. Signature …

With successful machine learning applications in many fields, researchers tried to introduce
machine learning into intrusion detection systems for building classification models …

TMC (traffic management system) is the vital unit of Intelligent Transport System (ITS) as it
provides complex services by interacting with other smart devices, objects and infrastructure …

Intrusion Detection Systems (IDS) have been widely used to detect cyber attacks in Cyber-
Physical Systems (CPS). However, attackers can often adapt their attacking strategies to …

Abstract Intrusion Detection Systems (IDS) are becoming an essential component usually in
network and data security weapon store. Since huge amount of existing off-line data and …