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received 20 packets from node B and forwarded 20 packets to node D (even though it only forwarded 15), or it will need to report that it received 15 packets from node B (even though it actually received 20) and forwarded 15 packets to node D In the rst case Node D s report will contradict node C s report because node D will report that it only received 15 packets In the second case node B s report will contradict node C s report because node B will report that it sent 20 packets to node C In either case the coordinator can detect that there is a malicious node and also the pair of nodes in which one is malicious The coordinator may not necessarily be able to detect which of this pair of nodes is malicious Assuming that there are enough ows in the network and that the number of well-behaved nodes is suf ciently high, the coordinator can gure out which nodes are malicious because there will be multiple pairs of suspicious nodes The nodes that are common across multiple pairs will be the malicious nodes For example, let us assume in our previous example that there is another ow originating in node F, traveling through node C and terminating at node G (see Figure 512) If node C starts lying in its reports, contradictions will arise with the reports of multiple nodes Therefore the coordinator will be able to clearly identify the malicious node The scheme is not necessarily foolproof because the coordinator may not have suf cient information in all cases to decide about the lying node Some such cases are when there are not enough ows, when there are no other nodes in the neighborhood, or when a node decides to drop packets only from a subset of nodes For example, if node C only drops packets destined for node D and tries to contradict only node D s reports, then the coordinator will not be able to decide whether node C or node D is lying The advantage of this technique is that he detection algorithm does not rely on promiscuous monitoring The algorithm has its own signi cant limitations, however Reports of nodes to the coordinator may contradict each other on account of the lossy nature of the links rather than malicious behavior In the example discussed earlier, node A may report the correct number of packet that it forwarded to node B, and node B may report the packets it actually received from node A, but the reports may differ Node B may not receive all of the packets sent by node A Some of the packets may be lost due to the lossy link between the two nodes In that case reports from nodes A and B will be inconsistent and may result in a false positive The scheme tolerates such.

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Page 63 The lines of responsibility for project evelopment present another difficulty within the project management context Most projects are staffed with personnel borrowed (sometimes on an extended basis) from their line departments A project manager faces the unique and vexing challenge of attempting to motivate and secure the commitment of a disparate group of functional employees who often feel little personal identification with the project and preserve a profound functional loyalty This problem is further exacerbated when the project managers do not have the freedom to perform formal performance appraisals on these temporary employees When set against this unique backdrop, project control becomes increasingly problematic The irony is that most organizations, including those that have experienced terrible difficulties with their projects, will readily acknowledge the necessity of using project management in their operations What is particularly frustrating to them is that they continue (seemingly) to make the same mistakes again and again as one project after another falls further and further behind, goes increasingly over budget and then is either canceled outright or simply slides into oblivion Or, the project is finished and transferred to a customer who no longer wants it or is expecting something so different from the finished output that it is useless to them In our experience, the problems that underscore such shaky track records are usually legion; however, one common denominator shared by most troubled organizations is their unwillingness or inability to learn from past failure Project review meetings, so important as a learning tool, are either perfunctory (in the case of successes) or are ignored (in the case of failures) This is a pity and it is with this message in mind that we have developed our program of customer-based project management as detailed throughout this book We are convinced that the more we are willing to look at a project s status from the perspective of the customer, the greater the likelihood that the finished product will be both used and useful It is our hope that each of us is strong enough.

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In .NET Using Barcode printer for VS .NET Control to generate, create barcode image in .of techniques as compared with the problem of having the node securely report its location to some other entity inside the network or to the problem of guaranteeing the privacy of the location information of a node In the rest of this section we will consider secure location determination The secure localization techniques are based either on the principle of range dependent localization or on the principle of range independent localization or on a hybrid of the two We start off by looking at a technique that addresses ome (though not all) of the security vulnerabilities present in the time-of- ight technique Following these techniques we will also study a scheme proposed for location veri cation We will not look at location privacy in this chapter.Related: 

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