The continued ability to detect malicious network intrusions has become an exercise in
scalability, in which data mining techniques are playing an increasingly important role. We …

In mobile ad hoc network (MANET), the issues such as limited bandwidth availability,
dynamic connectivity and so on cause the process of intrusion detection to be more …

Este artículo muestra la construcción de un modelo predictivo de deserción estudiantil, para
pronosticar la probabilidad, que un estudiante abandone su programa académico …

This article presents a study, intending to design a model with 90% reliability, which helps in
the prediction of school dropouts in higher and secondary education institutions …

Putra University, Malaysia Abstract-Anomaly detection systems are extensively used security
tools to detect cyber-threats and attack activities in computer systems and networks. In this …

Preserving security and confidentiality in wireless sensor networks (WSN) are crucial.
Wireless sensor networks in comparison with wired networks are more substantially …

With the advent of ad-hoc networks, there has been a great boost in communication
methodologies in the wireless domain. Numerous research contributions have been made …

The enormous development in the connectivity among different type of networks poses
significant concerns in terms of privacy and security. As such, the exponential expansion in …

Network security is a big issue at present for large organizations. There are many types of
Intrusion Detection Systems like Host Based IDS, Network Based IDS, Anomaly Based IDS …

In mobile ad hoc networks (MANET), Artificial Intelligence (AI) based distributed intrusion
detection (DIDS) techniques are very rarely available. In general, these techniques are used …