Apart from using traditional security solutions in software systems such as firewalls and
access control mechanisms, utilizing intrusion detection systems are also necessary …

Intrusion detection faces a number of challenges; an intrusion detection system must reliably
detect malicious activities in a network and must perform efficiently to cope with the large …

Current anomaly host-based intrusion detection systems are limited in accuracy with any
increase in detection rate resulting in a corresponding increase in false alarm rate …

Question & answer (Q&A) websites, such as Stack Overflow (SO), are widely used by
developers to find and provide answers to technical issues and concerns in software …

Intrusion detection is an important technique in the defense-in-depth network security
framework. Most current intrusion detection models lack the ability to process massive audit …

Linux containers are gaining increasing traction in both individual and industrial use, and as
these containers get integrated into mission-critical systems, real-time detection of malicious …

In this paper, we present the results of using bags of system calls for learning the behavior of
Linux containers for use in anomaly-detection based intrusion detection system. By using …

Intrusion detection is an important technique in the defense-in-depth network security
framework. In recent years, it has been a widely studied topic in computer network security …

Despite over two decades of research, high false alarm rates, large trace sizes and high
processing times remain among the key issues in host-based anomaly intrusion detection …

With the advent of technology, sophisticated malware presents a significant threat to
computer security. In this work, we propose anomaly detection techniques that learn three …