Logs are widely used to record runtime information of software systems, such as the
timestamp and the importance of an event, the unique ID of the source of the log, and a part …

In 2017 the Open Web Application Security Project (OWASP) has identified insufficient
logging and monitoring as one of the top ten security risks. Attackers can exploit insufficient …

This study explores the challenges with utilizing application logs for incident response or
forensic analysis. Application logs have the potential to significantly enhance security …

Adversarial attacks against supervised learning a algorithms, which necessitates the
application of logging while using supervised learning algorithms in software projects …

Logging of security-relevant events is crucial in software development to gain visibility into
the application's runtime, and to detect suspicious and malicious behavior. Various security …

A forensic-ready software system can produce logs that represent potential evidence in
digital forensic investigations of potential security incidents. Logs can reveal the identity of …

As virtual currencies gain traction as rewards and with the evolving landscape of remote and
hybrid work environments, the need for adaptive and comprehensive reward systems …

Abstract Web-based Learning Management Systems (LMS) are gaining popularity in the
education sector as they provide more convenience in the teaching and learning …

Troubleshooting system performance issues is a challenging task that requires a deep
understanding of various factors that may impact system performance. This process involves …

Supervised learning algorithms, such as decision trees are increasingly used by information
technology (IT) organizations to construct classification and prediction models. As these …