A Taxonomy on Misbehaving Nodes in Delay Tolerant Networks

Khalid, Waqar, Ullah, Zahid, Ahmed, Naveed, Cao, Yue, Khalid, Muhammad, Farman, Haleem, Arshad, Muhammad and Cruickshank, Haitham (2018) A Taxonomy on Misbehaving Nodes in Delay Tolerant Networks. Computers & Security, 77. pp. 442-471. ISSN 0167-4048

[img]
Preview
Text (Full text)
A Taxonomy on Misbehaving Nodes in Delay Tolerant Networks (1).pdf - Accepted Version

Download (612kB) | Preview
Official URL: https://doi.org/10.1016/j.cose.2018.04.015

Abstract

Delay Tolerant Networks (DTNs) are type of Intermittently Connected Networks (ICNs) featured by long delay, intermittent connectivity, asymmetric data rates and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, have shown promising potential in challenged networks i.e. DakNet, ZebraNet, KioskNet and WiderNet. Due to unique nature of intermittent connectivity and long delay, DTNs face challenges in routing, key management, privacy, fragmentation and misbehaving nodes. Here, misbehaving nodes i.e. malicious and selfish nodes launch various attacks including flood, packet drop and fake packets attack, inevitably overuse scarce resources (e.g., buffer and bandwidth) in DTNs. The focus of this survey is on a review of misbehaving node attacks, and detection algorithms. We firstly classify various of attacks depending on the type of misbehaving nodes. Then, detection algorithms for these misbehaving nodes are categorized depending on preventive and detective based features. The panoramic view on misbehaving nodes and detection algorithms are further analyzed, evaluated mathematically through a number of performance metrics. Future directions guiding this topic are also presented.

Item Type: Article
Uncontrolled Keywords: Delay Tolerant Networks; Flood Attack; Fake Packet Attack; Malicious Node; Misbehaving Node; Packet Drop Attack
Subjects: G400 Computer Science
G500 Information Systems
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Muhammad Khalid
Date Deposited: 08 May 2018 11:57
Last Modified: 01 Aug 2021 11:47
URI: http://nrl.northumbria.ac.uk/id/eprint/34107

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics