Abstract Information and Communication Technology (ICT) has a great impact on social
wellbeing, economic growth and national security in todays world. Generally, ICT includes …

Clustering algorithms have become one of the most critical research areas in multiple
domains, especially data mining. However, with the massive growth of big data applications …

Clustering algorithms have emerged as an alternative powerful meta-learning tool to
accurately analyze the massive volume of data generated by modern applications. In …

Anomaly detection is an important data analysis task. It is used to identify interesting and
emerging patterns, trends and anomalies from data. Anomaly detection is an important tool …

This paper proposes latent representation models for improving network anomaly detection.
Well-known anomaly detection algorithms often suffer from challenges posed by network …

A Survey on Clustering Techniques for Big Data Mining Page 1 Indian Journal of Science and
Technology, Vol 9(3), DOI: 10.17485/ijst/2016/v9i3/75971, January 2016 ISSN (Print) …

The current generation of low-and medium interaction honeypots uses off-the-shelf libraries
to provide the transport layer. We show that this architecture is fatally flawed because the …

Anomaly detection is an important aspect of data mining, where the main objective is to
identify anomalous or unusual data from a given dataset. However, there is no formal …

21st Century has marked high velocity of data generation not only in terms of size but also in
variety. Analyzing large data sets with different forms is also a challenging task. Data Mining …

Abstract Supervisory Control and Data Acquisition (SCADA) systems control and monitor
industrial and critical infrastructure functions, such as electricity, gas, water, waste, railway …