Anomaly detection in real-time data is accepted as a vital area of research. Clustering
techniques have effectively been applied for the detection of anomalies several times. As the …

A vital field of research is network anomaly detection. Several research papers in this topic
have previously been published, using various methodologies or algorithms. The …

Finding real-time anomalies in any network system is recognized as one of the most
challenging studies in the field of information security. It has so many applications, such as …

The challenging issues of computer networks and databases are not only the intrusion
detection but also the reduction of false positives and increase of detection rate. In any …

IoT technology has significantly contributed in the improvement of quality of life by facilitating
various real-life smart applications. IoT consists of large number of interconnecting digital …

There are many applications of anomaly detection in the Internet of Things domain. IoT
technology consists of a large number of interconnecting digital devices not only generating …

This research aims to determine the direction of research in the analysis of mixed data types.
The world is currently filled with increasingly diverse data, especially in terms of data types …

The era of big data, which is coming with a complicated and big scope of data, has caused
the increase of the possibility of network attack. One of those possible attacks is DDoS or …

There are many applications of anomaly detection in IoT domain. IoT technology consists of
large number of interconnecting digital devices not only generating huge data continuously …

Finding anomalies in the real-time system is recognized as one of most challenging study in
information security. It has so many applications like IoT, and Stock-Market. In any IoT …