Performance analysis of the CONFIDANT protocol

By Sonja Buchegger, J. L. Boudec. ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2002

2,358 citations recorded by the source corpus.

Mobile ad-hoc networking works properly only if the participating nodes cooperate in routing and forwarding. However,it may be advantageous for individual nodes not to cooperate. We propose a protocol, called CONFIDANT, for making misbehavior unattractive; it is based on selective altruism and utilitarianism. It aims at detecting and isolating misbehaving nodes, thus making it unattractive to deny cooperation. Trust relationships and routing decisions are based on experienced, observed, or reported routing and forwarding behavior of other nodes. The detailed implementation of CONFIDANT in this paper assumes that the network layer is based on the Dynamic Source Routing (DSR) protocol. We present a performance analysis of DSR fortified by CONFIDANT and compare it to regular defenseless DSR. It shows that a network with CONFIDANT and up to 60% of misbehaving nodes behaves almost as well as a benign network, in sharp contrast to a defenseless network. All simulations have been implemented and performed in GloMoSim.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/918f9cbd86bdf123aa3c7762c47b3beac1d6104e

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In Computer Networks and Communications

Citations in the corpus

Information theoretic framework of trust modeling and evaluation for ad hoc networks (2006, background): “861389 peer-to-peer networks [19], [20], and ad hoc and sensor networks [21]–[23].”
Data Collection and Wireless Communication in Internet of Things (IoT) Using Economic Analysis and Pricing Models: A Survey (2016, background): “steady and the total number of dropped packets is less than a half of that of the CONFIDANT protocol [226].”
Cross-layer optimization for energy-efficient wireless communications: a survey (2009, background): “Therefore, without identifying the misbehaving nodes, the results of misbehaviour have shown that they dramatically decreased the performance of the network [12] and produced the denial of service (DoS).”
A cooperative intrusion detection system for ad hoc networks (2003, background): “CONFIDANT [4] extends Marti s approach in numerous ways.”
A specification-based intrusion detection system for AODV (2003, background): “The work described in [2],[3],[11], and [12] use the mechanism of assigning a value to the “reputation” of a node and using this information to weed out misbehaving nodes and use only trusted and verifiably good nodes.”
Sprite: a simple, cheat-proof, credit-based system for mobile ad-hoc networks (2003, background): “One possibility to provide incentive is to use a reputation system [4], [7], [8], [9].”
The Effect of Rumor Spreading in Reputation Systems for Mobile Ad-hoc Networks (2003, background): “CONFIDANT (see our papers [4, 3]) stands for ‘Cooperation Of Nodes, Fairness In Dynamic Adhoc NeTworks’ and it detects malicious nodes by means of observation or reports about several types of attacks and thus allows nodes to route around misbehaved nodes and to isolate them from the network.”
Observation-based Cooperation Enforcement in Ad Hoc Networks (2003, methodology): “CONFIDANT [4] also detects misleading nodes by means of observation and more aggressively informs other nodes of this misbehavior through reports sent around the network.”
Game Theory in Wireless and Communication Networks (2008, background): “In [336] and [86], the authors define protocols that are based on a reputation system.”
A Survey of Trust and Reputation Management Systems in Wireless Communications (2010, methodology): “A watchdog can be an ordinary node (assuming enough computational and storage capacity) [11], [25], a specialized node [29], or even a module residing in each node [14].”
A Survey on Intrusion Detection in Mobile Ad Hoc Networks (2007, methodology): “Components and State Diagram of CONFIDANT Protocol [6]”