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The Trust Manager is also responsible for providing or accepting routing information, accepting a node as part of a route, and taking part in a route originated by some other node Information Modeling The Reputation System manages a table consisting of entries for nodes and their rating Ratings are changed only when there is suf cient evidence of malicious behavior that has occurred at least a threshold number of times to rule out coincidences The rating is then changed according to a rate function that assigns the greatest weight for personal experience, a smaller weight for observations in the neighborhood, and an even smaller weight to reported experience Buchegger and Le Boudec state that the rationale behind this weighting scheme is that nodes trust their own experiences and observations more than those of other nodes Then, the reputation entry for the misbehaving node is updated accordingly.

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Unicast Communications in Ad Hoc Networks For unicast communication in ad hoc networks, pairs of source and destination nodes exchange independent messages across a network Nodes, all of which share the same communication resources, may cooperate in transmitting, receiving, and relaying messages The communications can cause interference to other communications within the network, degrading its quality of service The network is thus a combination of relay, interference, broadcast, and multiple access channels, the rst two of which have unknown capacities except in the simplest of situations However, upper bounds on the scalability of the network with respect to the capacity of a single link are known.

If the entry for any node in the table falls below a predetermined threshold, then the Path Manager is summoned Decision Making The Path Manager is the component that is the decision maker It is responsible for path re-ranking according to the security metric It deletes paths containing misbehaving nodes and is also responsible for taking necessary actions upon receiving a request for a route from a misbehaving node Discussions In CONFIDANT, only negative information is exchanged between nodes and the authors argue that it is justi ed because malicious behavior will ideally.

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For a network with uniform source-destination traf c ows and decay of signal strength with distance according to some rule such as d k , for k > 2 the behavior arises from having an average path length (in near-neighbor hops) of n , and thus the need to carry traf c of roughly that number of users The overall capacity available per sourcedestination pair declines as the square root of the network size, for xed transmission bandwidth [29] While antenna arrays, cooperative communications, and so on, all lead to improved communications, they do not suf ciently change the asymptotics [30 36], so that the network is not scalable under these assumptions on the traf c and propagation model Under the assumption of multihop transmission, it may be shown that delay also scales as n [37].

be the exception not the normal behavior However, since only negative information is exchanged, the system is vulnerable to false accusation of benign nodes by malicious nodes Unlike in CORE, even without collusion, malicious nodes bene t by falsely accusing benign nodes With collusion of malicious nodes, this problem can explode beyond control However, false praise attacks are prevented in CONFIDANT because no positive information is exchanged This eliminates the possibility of malicious nodes colluding to boost the survival time of one another Also, since negative information is shared between nodes, an adversary gets to know his situation and accordingly change his strategy This may not be desirable Sharing negative information in the open also introduces fear of retaliation which may force nodes to withhold their true ndings.

In the random graph model, it is assumed that the quality of links between nodes does not follow a simple geometric rule, a reasonable model for local links dominated by multipath The capacity depends strongly on the particular model chosen for link quality, and can in the most favorable circumstances of high probabilities of long links being present result in scalability, even assuming uniform source-destination probabilities [38] The bounds can be tightened if the source-destination distribution is highly irregular [39, 40] For example, for the model considered in reference 29, if the traf c pattern is such that the average distance between source and destination.

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