Given the prevailing state of cybersecurity, it is reasonable to understand why cybersecurity
experts are seriously considering artificial intelligence as a potential field that can aid …

Educational big data analytics and computational intelligence have transformed our
understanding of learning ability and computing power, catalyzing the emergence of …

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 …

The evolving unknown cyberattacks have rapidly expanded the cyber threat landscape.
Identifying unknown cyberattacks, therefore, remains a challenging issue, compounded by …

Intrusion detection systems attempt to identify assaults while they occur or after they have
occurred and they detect abnormal behavior in a network of computer systems in order to …

The negative selection algorithm (NSA) is one of the important methods in the field of
immunological computation (or artificial immune systems). Over the years, some progress …

The remarkable ability to separate and identify self and non-self in a given problem space,
makes negative selection a fascinating concept of artificial immune system. Therefore …

Due to proliferation of online posts and rise in the active social media users, fraudulent
activities related with spam messages have taken a spike drift. Spam is an activity by which …

The dendritic cell algorithm (DCA) is a classification algorithm based on the biological
antigen presentation process. Its classification efficiently depends on a data preprocessing …

The reliable service coverage of many facilities or sensors used in smart city infrastructure is
highly susceptible to obstructions in urban environments. Optimizing the line-of-sight (LOS) …