The rampant spread of multidrug-resistant Pseudomonas aeruginosa strains severely
threatens global health. This severity is compounded against the backdrop of a stagnating …

Today's highly connected world suffers from the increase and variety of cyber-attacks. To
mitigate those threats, researchers have been continuously exploring different methods for …

The class imbalance of samples of network traffic will cause the poor classification
performance of intrusion detection models based on machine learning. To solve this …

Intrusions are critical issues in information system of healthcare sector because a sole
intrusion can cause health issue due to any manipulation in the medical record of the …

During the last decade, a lot of attention has been given to intrusion detection systems
(IDSs) as another security tools used to detect attacks and make working in computer …

Disponer de procedimientos eficientes de clasificación de patrones es esencial en muchas
aplicaciones de gran interés socio-económico. Una de ellas es el diseño de Sistemas de …

Now day's information of an organization floating over the internet that increases the traffic
on the network as well as threats from attackers. To protect these sensitive material Intrusion …

There are multiple ways detection is performed by IDS. In signature-based detection, a
pattern or signature is in comparison to previous events to disclose present threats. But the …

Alongside with digital signatures and Cryptographic protocols, Intrusion Detection Systems
(IDS) are judged to be the final contour of protection to protect a system. But the major …