Insider threat has become a widely accepted issue and one of the major challenges in
cybersecurity. This phenomenon indicates that threats require special detection systems …

Cyber security is vital to the success of today's digital economy. The major security threats
are coming from within, as opposed to outside forces. Insider threat detection and prediction …

Log analysis is a technique of deriving knowledge from log files containing records of events
in a computer system. A common application of log analysis is to derive critical information …

Network log messages (eg, syslog) are expected to be valuable and useful information to
detect unexpected or anomalous behavior in large scale networks. However, because of the …

Logging is a common practice in software engineering to provide insights into working
systems. The main uses of log files have always been failure identification and root cause …

Abstract Internet of Things (IoT) platforms are responsible for overall data processing in the
IoT System. This ranges from analytics and big data processing to gathering all sensor data …

This study is a systematic literature review on anomaly-based intrusion detection methods
specially to detect insider attacks. The focus is to enumerate the techniques for modeling …

Advances in connectivity, communication, computation, and algorithms are driving a
revolution that will bring economic and social benefits through smart technologies of the …

Security is one of the top concerns of any enterprise. Most security practitioners in
enterprises rely on correlation rules to detect potential threats. While the rules are intuitive to …

Cyberspace plays a dominant role in the world of electronic communication. It is a virtual
space where the interconnecting network has an independent technology infrastructure. The …