Cyber-attacks are becoming more sophisticated and thereby presenting increasing
challenges in accurately detecting intrusions. Failure to prevent the intrusions could degrade …

The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …

Due to the monumental growth of Internet applications in the last decade, the need for
security of information network has increased manifolds. As a primary defense of network …

Intrusion detection system (IDS) plays an essential role in computer networks protecting
computing resources and data from outside attacks. Recent IDS faces challenges improving …

Countering cyber threats, especially attack detection, is a challenging area of research in the
field of information assurance. Intruders use polymorphic mechanisms to masquerade the …

Over the last five years there has been an increase in the frequency and diversity of network
attacks. This holds true, as more and more organizations admit compromises on a daily …

Recently, due to the rapid development and remarkable result of deep learning (DL) and
machine learning (ML) approaches in various domains for several long-standing artificial …

Data preprocessing is widely recognized as an important stage in anomaly detection. This
paper reviews the data preprocessing techniques used by anomaly-based network intrusion …

We claim that modelling network traffic as a time series with a supervised learning approach,
using known genuine and malicious behaviour, improves intrusion detection. To …

The integration of the Internet of Things (IoT) connects a number of intelligent devices with
minimum human interference that can interact with one another. IoT is rapidly emerging in …