In this paper, a comprehensive survey of evolutionary computation (EC) methods for
cybersecurity of mobile ad hoc networks (MANETs) is presented. Typically, EC methods are …

Intrusion detection on mobile ad hoc networks (MANETs) is difficult. This is because of their
dynamic nature, the lack of central points, and their highly resource-constrained nodes. In …

Abstract Machine learning (ML) techniques provide the learning capability to a system and
encourage adaptation into the environment, based upon many logical and statistical …

Mobile ad hoc networks (MANETs) are a highly promising new form of networking. However
they are more vulnerable to attacks than wired networks. In addition, conventional intrusion …

In mobile ad hoc networks (MANETs), the malicious flooding attack is very hazardous since
it not only clogs the victim node but also the entire network. Also it may cause packet drops …

In recent years mobile ad hoc networks (MANETs) have become a very popular research
topic. By providing communication in the absence of a fixed infrastructure they are very …

In computer security, guidance is slim on how to prioritize or configure the many available
defensive measures, when guidance is available at all. We show how a competitive co …

Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize
day-to-day problems that arise for researchers in optimization and mobile networking Mobile …

Ad hoc wireless communication is an infrastructure-less network and adaptable to all
environments. It is characterized by self-organizing, dynamic topology, and self-healing …

Abstract A Mobile Ad hoc NETwork (MANET) is a self-organizing, infrastructure-less network
of mobile nodes connecting by wireless links. In operation, the nodes of MANETs do not …