The implementation of electronics in modern vehicles has resulted in an increase in attacks
targeting in-vehicle networks; thus, attack detection models have caught the attention of the …

We present a data-driven algorithm and mathematical model for anomaly alarming at
directional drilling. The algorithm is based on machine learning. It compares the real-time …

Due to their rapid growth and deployment, the Internet of things (IoT) have become a central
aspect of our daily lives. Unfortunately, IoT devices tend to have many vulnerabilities which …

As existing system calls-based Host Anomaly Detection Systems (HADSs) exclude hidden
patterns that can reside in the elapsed times of system calls with respect to the lifecycle of a …

Aim: The analysis of network traffic plays a crucial role in modern organizations since it can
provide defense mechanisms against cyberattacks. In this context, machine learning …

Containers revolutionized cloud applications, as they are lightweight, highly portable and
ideal for microservices. Although they are being adopted in business-critical scenarios, they …

This document describes, among other things, a computerimplemented method for
improving the security of one or more computing systems. The method can include …

Nowadays, the evolution of the internet and the use of computer systems has resulted in the
huge electronic transformation of data that experienced multiple problems such as security …

Intrusion and malware detection tasks on a host level are a critical part of the overall
information security infrastructure of a modern enterprise. While classical host-based …

Authenticated lateral movement via compromised accounts is a common adversarial
maneuver that is challenging to discover with signature-or rules-based intrusion detection …