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George Mason University

Collaborative Mobile Ad Hoc Intrusion Detection System

Abstract

A Mobile Ad Hoc Network (MANET) is a type of network that does not require previously deployed infrastructure to operate. In such networks, every node is mobile and acts as a router and, as a consequence, MANETs can be quickly configured and ready to work. This capability suits well to scenarios in which networks only need to operate for a short period of time, and when initial investment on infrastructure is undesired or not possible. It also allowed the implementation of many applications that were not originally practical with regular networks. For instance, law enforcement missions performed by police forces into areas where the State is not well present are an example. These forces are inherently mobile and need to exchange data in a uncontrolled area in order to accomplish their mission. Another example is the use of MANETs supporting natural disaster operations. In this case, the preexisting communication infrastructure is damaged and field agents resort to MANETs as the medium for coordinating rescue missions and distribution of supplies. The military also use MANETs as a platform to perform their duties, and as a key asset supporting a number of diverse command and control activities. For instance, platoon and company level missions are very mobile and performed in areas under control of the enemy. MANETs play a major role in other domains as well, including health care and remote sensing, making mobile ad hoc networking a growing trend.

Author and committee

dc:creator, dc:contributor.*
Author
  • Mota Alves de Carvalho, Jeronymo

Subjects

dc:subject × 7

Identifiers

dc:identifier.*
Identifier
hdl:1920/11300
OAI identifier oai:identifier
oai:MARS:1920/11300

Chain of custody

source
Harvested from
George Mason University
Base URL
mars.gmu.edu/server/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Mota Alves de Carvalho, Jeronymo. Collaborative Mobile Ad Hoc Intrusion Detection System. 2017.