As digitization is increasing, threats to our data are also increasing at a faster pace.
Generating fake videos does not require any particular type of knowledge, hardware …

Outlier detection (outlier and anomaly are used interchangeably in this review) in non-
independent and identically distributed (non-IID) data refers to identifying unusual or …

As a harmless detection method, terahertz has become a new trend in security detection.
However, there are inherent problems such as the low quality of the images collected by …

This study presents a comprehensive evaluation of five prominent unsupervised machine
learning anomaly detection algorithms: One-Class Support Vector Machine (One-Class …

We live in an age where everything around us is being created. Data generation rates are so
scary, creating pressure to implement costly and straightforward data storage and recovery …

The rapid growth of Web 2.0, which enables people to generate, communicate, and share
information, has resulted in an increase in the total number of users. In develo** countries …

This study addresses the vast amount of information held by the banking sector, especially
regarding opportunities in tourism development, production, and large residential projects …

Wireless channels are used to link vehicles in a VANET. In these networks, there is no fixed
or static base station or any other kind of infrastructure support. An ad hoc network for mobile …

Large datasets have become useful in data mining for processing, storing, and handling vast
amounts of data. However, handling and processing large datasets is time-consuming and …

Data Mining is an analytic process to explore data in search of consistent patterns and/or
systematic relationships between variables, and then to validate the findings by applying the …