Intrusion detection based upon computational intelligence is currently attracting
considerable interest from the research community. Characteristics of computational …

The advent of the smart grid promises to usher in an era that will bring intelligence,
efficiency, and optimality to the power grid. Most of these changes will occur as an Internet …

With the rapid rise in the ubiquity and sophistication of Internet technology and the
accompanying growth in the number of network attacks, network intrusion detection has …

Abstract In Content-Centric Networks (CCNs) as a possible future Internet, new kinds of
attacks and security challenges–from Denial of Service (DoS) to privacy attacks–will arise …

Detecting anomalies in time series data of hydrocarbon reservoir production is crucially
important. Anomalies can result for different reasons: gross errors, system availability …

In the field of data mining, the social network is one of the complex systems that poses
significant challenges in this area. Time series anomaly detection is one of the critical …

Cloud Computing offers latest computing paradigm where application, data and IT services
are provided online over the Internet. One of the significant concerns in Cloud Computing is …

Our work presents the application of the rough sets method in the field of astrophysics for the
analysis of observational data recorded by the Cosmic Ray Extremely Distributed …

This paper evaluates four most representative off-line clustering techniques: k-means
clustering, fuzzy c-means clustering, Mountain clustering, and Subtractive-clustering. These …

Log analysis is a method to identify intrusions at the host or network level by scrutinizing the
log events recorded by the operating systems, applications, and devices. Most work …