Information communications technology systems are facing an increasing number of cyber
security threats, the majority of which are originated by insiders. As insiders reside behind …

In a contemporary data center, Linux applications often generate a large quantity of real-time
system call traces, which are not suitable for traditional host-based intrusion detection …

Fuzzing is an effective and widely used technique for finding security bugs and
vulnerabilities in software. It inputs irregular test data into a target program to try to trigger a …

Enforcing a variety of security measures (such as intrusion detection systems, and so on)
can provide a certain level of protection to computer networks. However, such security …

The paper reports a host based intrusion detection model for Cloud computing environment
along with its implementation and analysis. This model alerts the Cloud user against the …

Recently, advanced cyber attacks, which consist of a sequence of steps that involve many
vulnerabilities and hosts, compromise the security of many well-protected businesses. This …

Written by leading researchers, this complete introduction brings together all the theory and
tools needed for building robust machine learning in adversarial environments. Discover …

Businesses are naturally interested in detecting anomalies in their internal processes,
because these can be indicators for fraud and inefficiencies. Within the domain of business …

With the diversification of pit mine slope monitoring and the development of new
technologies such as multisource data flow monitoring, normal alert log processing system …

Cloud security is of paramount importance in the new era of computing. Advanced malware
can hide their behavior on detection of the presence of a security tool at a tenant virtual …