Membership functions help us to identify and know the similarity between two elements such
as vectors or sequences. The objective of this paper is to suggest a membership function …

The objective of any anomaly detection system is to efficiently detect several types of
malicious traffic patterns that cannot be detected by conventional firewall systems …

The term internet of things is a buzz word these days and as per Google survey conducted
recently, it has even dominated the buzz word big data predominantly. However, IoT area is …

Distributed Denial of Service (DDoS) attacks in the cloud environment are not as simple as
the same attacks which occur in the traditional physical network environment. Not only one …

Time profiled association mining is one of the important and challenging research problems
that is relatively less addressed. Time profiled association mining has two main challenges …

Euclidean distance measure is widely adopted distance measure to find the distance
between any two vectors. In this paper, we extend the use of Euclidean distance to the …

Most organizations today employ cloud-computing environments and virtualization
technology; Due to their prevalence and importance in providing services to the entire …

Outlier Detection is one of the important research problems in temporal data mining. A
pattern in time stamped temporal database is a sequence of probability values. Finding …

Mining and visualization of time profiled temporal associations is an important research
problem that is not addressed in a wider perspective and is understudied. Visual analysis of …

Temporal pattern mining is the recent research among researchers contributing in the areas
of data mining, medical mining, spatial data mining, health informatics and gaining …