Network Intrusion detection systems are essential for the protection of advanced
communication networks. Originally, these systems were hard-coded to identify specific …

Malware is a constant threat and is continuously evolving. Security systems try to keep up
with the constant change. One challenge that arises is the large amount of logs generated …

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 …

Abstract Research into Intrusion and Anomaly Detectors at the Host level typically pays
much attention to extracting attributes from system call traces. These include window-based …

Software call stack is a sequence of function calls that are executed during the runtime of a
software program. Software call stack analysis (CSA) is widely used in software engineering …

In the field of host-based intrusion detection systems (HIDS), existing anomaly detection
algorithms paid much attention to extracting system call features, such as N-gram, frequency …

Several security and workflow applications require provenance information at the operating
system level for diagnostics. The resulting provenance traces are often more informative if …

Modern and flexible application-level software platforms increase the attack surface of
connected vehicles and thereby require automotive engineers to adopt additional security …

With the continuous advancements in malicious code polymorphism and obfuscation
techniques, the performance of traditional machine learning-based detection methods for …

With the integration of the manufacturing process in the Internet, cybersecurity becomes
even more important in the process of factory operations. Because of the complexity of data …