Abstract A Genetic Fuzzy System (GFS) is basically a fuzzy system augmented by a learning
process based on a genetic algorithm (GA). Fuzzy systems have demonstrated their ability to …

In In spite of the tremendous growth of technologies in computer networking and information
technology, still we lack in preventing our resources from theft/attacks. This problem is very …

The advent of the Internet that aided the efficient sharing of resources. Also, it has introduced
adversaries whom are today restlessly in their continued efforts at an effective, non …

The main feature of anomaly-based intrusion detection systems is detection of new attacks
in the networks, even though numerous false alarms are caused in order to disregard this …

Abstract The Intrusion Detection System (IDS) deals with the huge amount of network data
that includes redundant and irrelevant features causing slow training and testing procedure …

The work presents design and development of a system to automatically evolve rules
through genetic-fuzzy approach. The work highlights the advantages of genetic and fuzzy …

This paper deals with the issue of early detection of network element outages. Timeliness of
outage detection as well as accuracy in finding outages on equipment in a …

Cloud computing is a pool of scalable virtual resources serving a large number of users who
pay fees depending on the extent of utilized service. From payment perspective, cloud is like …

Discovery of malicious correlations in computer networks has been an emergent problem
motivating extensive research in computer science to develop improved intrusion detecting …

Summary Intrusion Detection System is one of the important security mechanisms in today's
information era. Two different approaches are used for intrusion detection: signature based …