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On the other hand, models like RFSN tend to give more weight to recent observations than the past, with the argument that a node has to contribute and cooperate on a continuous basis to survive This is known as aging, where old observations have little in uence on a node s current reputation value This forces nodes to be cooperative at all times Otherwise, a malicious node will build its reputation over a long period and then start misbehaving by taking advantage of its accumulated goodness The higher the reputation a malicious node builds, the longer it can misbehave before it can be detected and excluded However, there is a drawback in adopting the aging technique In periods of low network activity, a benign node gets penalized This can be resolved by generating network traf c in regions and periods of low network activity using mobile nodes.



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Where: Requirements Flow Down SYSTEM Level Requirements SUBSYSTEM A A_11

SYS_11

SUBSYSTEM B B_11

DRBTS resolves this problem with beacon nodes being capable of generating network traf c on a need basis 1354 Decision Making This component of a reputation-and-trust-based system is responsible for taking all the decisions The decisions made by this component are based on the information provided by the information modeling component The basic decision is a binary decision, on who to trust and who not to The actual decision could translate to be one of cooperate/don t cooperate, forward/don t forward, and so on, based on the function being monitored by the system The decision of this component varies along with the reputation and trust values in the information modeling component The decision can vary from trust to no-trust,.

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DEFINE phase identified four system components and DESIGN-BUILD sequences ran in parallel to produce version 1.0 of these components. Project breakthrough was achieved.

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wherein a node that was trusted so far will no longer be trusted after its reputation and trust values fall below a predetermined threshold Similarly, it can vary from no-trust to trust, wherein a node that was initially not trusted will be trusted soon after its reputation and trust values exceed a predetermined threshold 136 EXAMPLES OF REPUTATION AND TRUST-BASED MODELS In this section we will review various reputation and trust-based models that have been proposed for MANETs and WSNs over the last few years For each model, we will review the working principle, in light of the discussions presented in the previous sections 1361 CORE CORE stands for a COllaborative REputation mechanism to enforce node cooperation in mobile ad hoc networks This model was proposed by Michiardi and Molva [22] to enforce node cooperation in MANETs based on a collaborative monitoring technique.

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CORE is a distributed, symmetric reputation model that uses both rsthand and second-hand information for updating reputation values It uses bidirectional communication symmetry and dynamic source routing (DSR) protocol for routing CORE also assumes wireless interfaces that support promiscuous mode operation In CORE, nodes have been modeled as members of a community and have to contribute on a continuing basis to remain trusted; otherwise, their reputation will degrade until eventually they are excluded from the network The reputation is formed and updated along time CORE uses three types of reputation namely, subjective reputation, indirect reputation, and functional reputation and addresses only the sel sh behavior problem CORE assigns more weight to the past observations than to the current observations This ensures that a more recent sporadic misbehavior of a node has minimum in uence on the evaluation of overall reputation value of that node.

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The development sequence was focused and tightly time-boxed. Work ran in parallel during the DESIGN-BUILD phases requiring good planning and coordination. Version 1.0 of the e-business systems infrastructure was created in nine months. Based on positive reception and feedback from version 1.0, enhancements for version 1.1 were created. Further assessment of business needs led to definition of next round of major enhancements that created version 2.0 of the ebusiness infrastructure. I followed all of the seven strategic design guidelines and respected the six tactical principles for running projects. This project was a clear demonstration of how to quickly and cost-effectively design and build a suite of new systems that then provide significant competitive advantage.

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