A Taxonomy on Misbehaving Nodes in Delay Tolerant Networks

Waqar Khalid, Zahid Ullah, Naveed Ahmed, Yue Cao, Muhammad Khalid, Muhammad Arshad, Farhan Ahmad, Haitham Cruickshank

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)
10 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)442-471
JournalComputers and Security
Volume77
Early online date7 May 2018
DOIs
Publication statusPublished - Aug 2018

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