Artificial intelligence (AI) is a powerful technology that helps cybersecurity teams automate
repetitive tasks, accelerate threat detection and response, and improve the accuracy of their …

Automatic log file analysis enables early detection of relevant incidents such as system
failures. In particular, self-learning anomaly detection techniques capture patterns in log …

Abstract Unmanned Aerial Vehicles (UAVs) have been used for a variety of purposes
including taking photographs and videos of large areas, undertaking environmental surveys …

The number of cyber attacks is constantly increasing daily, which demands organizations to
respond quickly and adequately to security incidents. Digital forensics plays an essential …

Generating timelines, ie, sorting events by their respective timestamps, is an essential
technique commonly used in digital forensic investigations. But timestamps are not the only …

An IoT device such as a drone is constantly generating log records to store every event that
happens to the drone during a flight. In case the drone encounters a problem or experiences …

In digital forensics, the sequence of all events in a forensic image needs to be analyzed.
Building a forensic timeline is one of the possible techniques. Naturally, the forensic timeline …

Log-based anomaly detection is one of the popular research topics in the cybersecurity
domain. Typically, the log event classification target is only separated into two classes …

During the software operation phase, automated log analysis is crucial for the early
detection of anomalies to prevent critical incidents, like system failure. Learning-based …

An increasing number of cyberattacks puts a rising demand on the security analysts and
teams for security incident response. In this paper, we focus on connections and …