Significant research has been carried out in the field of User Behavior Analysis, focused on
understanding, modeling and predicting past, present and future behaviors of users …

Anomaly detection is quickly becoming a very significant tool for a variety of applications
such as intrusion detection, fraud detection, fault detection, system health monitoring, and …

The ability to detect the anomalous user behavior automatically and create user profiles,
storing fresh and accurate security aspect user information, is important for systems …

The new generation of security threats has been promoted by digital currencies and real-
time applications, where all users develop new ways to communicate on the Internet …

Mostly, security user profiles are being generated from real-time sources of users' data. User
profiles generation process involves complicated and comprehensive data analysis …

Machine learning is an extremely important technique that has become heavily used in
different types of applications such as detection systems for fraud, intrusion or fault and …

In the past few years, a rapid evolution in the ICTs has been witnessed in various aspects,
leading to a higher communication volume, and data exchange.Big Data'is one of the recent …

In some examples, a system for authenticating users can include a processor to train a first
predictive application based on a first set of user engagements with advertisements, wherein …

Authentication is the preliminary security mechanism employed in the information system to
identify the legitimacy of the user. With technological advancements, hackers with …

A smart home is one equipped with connected Internet-of-Things (IoT) devices that can be
remotely accessed and controlled. Access to smart home devices is mostly achieved …