This survey paper discusses opportunities and threats of using artificial intelligence (AI)
technology in the manufacturing sector with consideration for offensive and defensive uses …

Intrusion detection is one of the important security problems in todays cyber world. A
significant number of techniques have been developed which are based on machine …

An increasing number of Internet of Things (IoT) devices are connecting to the Internet, yet
many of these devices are fundamentally insecure, exposing the Internet to a variety of …

The results of botnet detection methods are usually presented without any comparison.
Although it is generally accepted that more comparisons with third-party methods may help …

In the past two decades, most research on anomaly detection has focused on improving the
accuracy of the detection, while largely ignoring the explainability of the corresponding …

Anomaly detection is an important problem that has been researched within diverse
research areas and application domains. Many anomaly detection techniques have been …

As advances in networking technology help to connect the distant corners of the globe and
as the Internet continues to expand its influence as a medium for communications and …

To prevent and defend networks from the occurrence of attacks, it is highly essential that we
have a broad knowledge of existing tools and systems available in the public domain. Based …

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 …

Outlier detection has been a very important concept in the realm of data analysis. Recently,
several application domains have realized the direct map** between outliers in data and …