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The adversary has as much knowledge about the system as was available to the node itself, and it is therefore able to reprogram the captured node in such a way as to cause maximum damage to the system These problems can be resolved by modeling MANETs and WSNs as reputation and trust-based systems As in real life, we tend to believe and interact only with people who we see as having a good reputation Reputation can be de ned as a person s history of behavior, and it can be positive, negative, or a mix of both Based on this reputation, trust is built Trust can be seen as the expectation that a person will act in a certain way For example, if a person has a reputation for not getting jobs done, then people will not trust that this person will get a job done in the future.

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Based on this, people will not assign critical jobs to him, since they believe there is a good chance that he will not get the job done Similarly, nodes in MANETs and WSNs can make reputation-and-trust-guided decisions for example, in choosing relay nodes for forwarding packets for other nodes, or for accepting location information from beacon nodes as in reference 26 This not only provides MANETs and WSNs with the capability of informed decision making, but also provides them security in the face of internal attacks where cryptographic security gives way The way in which a system discovers, records, and utilizes reputation to form trust, and uses trust to in uence behavior, is referred to as a reputation-and-trust-based system This chapter is dedicated to providing the reader with a complete understanding of reputation-and-trust-based systems from the wireless communication perspective The rest of this chapter is organized as follows.

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hard not to look back, but you always have to think positive and be grateful that you picked the right market and did make some money You should also feel confident and comfortable knowing that your system, method, or skills may allow you the opportunity to do it again Hindsight trading is easy; being a mature, professional, and optimistic trader is hard Fear can cause paralysis and lead to inaction When in doubt, get out! These are five famous words to remember Do not vacillate or contemplate a decision to get out of a position in the market Just do it! When the markets are acting differently than what you would expect or when the information you are analyzing and the trading signals you are getting are confusing, it is important to reevaluate your trade or position.

than anticipated due to random node placement and lack of coordination between distant nodes. If an intermediate node nds that a packet cannot reach its destination at a speed layer, the packet is pushed to a higher speed layer with a new required speed S req . Hence, errors in local decisions are compensated as packets traverse the network. To provide reliability in reaching the destination, the packet loss rates to neighbors are monitored and the total number of hops to the destination is estimated. The source node s includes the reliability requirement Rreq (x) of packet x in the header. Consider x being forwarded by node i. All nodes including i keep packet loss statistics for their neighbors j, indicated by ei,j . The end-to-end reachability estimate Rd from node i,j i to destination d over neighboring node j is calculated as Rd = (1 ei,j )K , where i,j |i,d| K = |i,d| |j,d| is the estimate of hop distance from i to d. After determining its neighbors that can sustain the required speed for packet x, node i chooses a subset of neighbors j1 , . . . , jm such that 1 m (1 Rd n ) Rreq (x). In other words, we i,j n=1 try to make sure that the probability of one copy of x to reach d is not smaller than the original required reliability level. At the same time, we make sure that the packet is propagated at the required speed. In each of the copies sent to these neighbors jn , the required reliability of packet x is updated as Rreq (x) = 1 ei,jn . Hence, as the number of paths x is relayed over increases, the individual reliability levels decrease

In Section 132, we will give an in-depth background of reputation and trust from social perspective Then in Section 133, we will present reputation and trust from network perspective and discuss various challenges in modeling networks as reputation-and-trust-based systems We move on to present the reputation-and-trust-based systems and discussing their goals, properties, initialization, and classi cation in Section 134 Then in Section 135, we will discuss the components of reputation and trust-based systems in detail In Section 136 we will present the current reputation and trust-based systems that are in use We have presented the current open problems in reputation-and-trust-based systems from the network perspective in Section 137 Finally in Section 138 we conclude this chapter..

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