The intrusion detection system (IDS) has lower speed, less adaptability and lower detection
accuracy especially for small samples sets. This paper presents a detection model based on …

Anomaly detection in computer networks is a complex task that requires the distinction of
normality and anomaly. Network attack detection in information systems is a constant …

Amidst the overwhelming volume of health-related data available, diverse epidemiological
surveillance strategies have been adopted to swiftly detect outbreak events. These …

As the defenses evolve, so do the solutions to a software vulnerability. The primary reason
for security incidents, eg, cyber-attacks, originates from software vulnerabilities. It is …

In Databases, the most prevalent cause of data breaches comes from insiders who misuse
their account privileges. Due to the difficulty of discovering such breaches, an adaptive …

This paper proposes a hybrid bio-inspired search and optimization algorithm that combines
the strengths of the PB3C (Parallel Big Bang Big Crunch) and 3PGA (3 Parent Genetic …

The commonly used method for network intrusion is based on pattern matching systems, but
these systems do not have high detection accuracy when facing large-scale high-speed …

The controller area network (CAN) bus has become one of the most commonly used
protocols in automotive networks. Some potential attackers inject malicious data packets into …

Anomaly detection is a significant issue that has attracted considerable research. The
artificial immune system offers strong pattern recognition ability, adaptability and dynamic …

Chemistry is not a stagnant scientific discipline; on the contrary, chemistry is a continuously
advancing activity. Indeed, the XXI century is registering the emergence of several highly …