Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …

Big databases are increasingly widespread and are therefore hard to understand, in
exploratory biomedicine science, big data in health research is highly exciting because data …

The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

Traffic analysis is a compound of strategies intended to find relationships, patterns,
anomalies, and misconfigurations, among others things, in Internet traffic. In particular, traffic …

Log files give insight into the state of a computer system and enable the detection of
anomalous events relevant to cyber security. However, automatically analyzing log data is …

Little is known about how organizations leverage business analytics (BA) to develop,
process, and exploit analytical information in cybersecurity incident response (CSIR) …

In recent years, with the rapid development of the Internet of Things (IoT), various
applications based on IoT have become more and more popular in industrial and living …

Off late, the ever increasing usage of a connected Internet‐of‐Things devices has
consequently augmented the volume of real‐time network data with high velocity. At the …

Technological advances and increased interconnectivity have led to a higher risk of
previously unknown threats. Cyber Security therefore employs Intrusion Detection Systems …

In most conditions, it is a problematic mission for a machine-learning model with a data
record, which has various attributes, to be trained. There is always a proportional …