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13.5.3 Information Modeling This component of a reputation-and-trust-based system deals with combining the rst-hand and second-hand information meaningfully into a metric. It also deals with maintaining and updating this metric. Some models choose to use a single metric, reputation, like CORE and DRBTS [1, 21], while a different model like RFSN may choose to use two separate metrics, reputation and trust, to model the information [2]. While most models make use of both rst-hand and second-hand information in updating reputation and/or trust, some models like OCEAN [32] may use just rsthand information. The rst-hand information can be directly incorporated into the reputation metric without much processing. However, this is not the case with second-hand information. The node providing the second-hand information could be malicious, and the ratings it provides could be spurious. Hence it is necessary to use some means of validating the credibility of



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A_11

This development sequence narrowed scope and focused resources up front to create version 1.0 of the system and achieve the project breakthrough point. Once the breakthrough had been achieved, multiple DEFINE-DESIGN-BUILD sequences were launched in parallel to exploit the opportunities that opened up. I followed all the strategic design guidelines. The tactical principles for running projects were followed although there was no staff devoted exclusively to the project office function. The team leaders and I did the project office work, and at times we did not keep plans and budgets up to date. If the project had been any larger, the lack of dedicated project office staff would have hurt us.

A_111





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the reporting node One method is to use a deviation test like the one in references 34 and 35 If the reporting node quali es the deviation test, then it is treated as trustworthy and its information is incorporated to re ect in the reputation of the reported node However, different models may choose to use a different strategy in accepting the second-hand information, depending on the application domain and security requirements For instance, the model in reference uses Dempster Shafer belief theory [35] and discounting belief principle [36] to incorporate second-hand information However, Beta distribution has been the most popular among researchers in reputation-and-trust-based systems It was rst used by Josang and Ismail [37] Since then, many researchers have used the beta distribution including Ganeriwal and Srivastava [2] and Buchegger and Boudec [33].

A_112

A_113

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Beta distribution is the simplest among the various distribution models, (namely, Poisson, binomial, or Gaussian) that can be used for representation of reputation This is mainly because of the fact that it is indexed by only two parameters An important issue in maintaining and updating reputation is how past and current information is weighted Different models tend to weight them differently, each with a different rationale Models like CORE tend to give more weight to the past observations with the argument that a more recent sporadic misbehavior should have minimal in uence on a node s reputation that has been built over a long period of time This helps benign nodes that are sel sh due to genuinely critical battery conditions Also, occasionally, nodes may temporarily misbehave due to technical problems such as link failure, in which case it is justi ed not to punish them severely.

Author s Note 32.1 As you allocate and ow down requirements observe a basic WHY HOW construct. From any requirement position within the hierarchy between the top and bottom, moving upward within the hierarchy represents WHY the requirement exists. Moving downward elaborates HOW the requirement is accomplished.

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When you allocate and ow down requirements across entity speci cation boundaries. The process becomes more challenging, as illustrated in Figure 32.5. SEs, as facilitators of the requirements allocation and ow down process, must ensure that the use case thread is traceable across ALL applicable speci cations via their respective requirements. Suppose that we have a SYSTEM level capability requirement, SYS_11. The SEIT analyzes the requirement, performs a use case analysis, and derives sibling requirements A_11 and B_11. Author s Note 32.2 At this point, the SEIT has not allocated requirements A_11 and B_11 to SUBSYSTEMs A and B. We designate each for now as A_11 and B_11 to delineate the uniqueness of each requirement. Use case analysis reveals that Requirements A_11 and B_11 require further decomposition. So, without becoming immersed into whether requirement A_11 should be allocated to SUBSYSTEM A or B, SEs construct a use case thread. Based on that analysis, SEs derive: Requirements A_111 and A_112 from A_11. Requirements B_111, B_112, and B_113 from B_11. Subsequently these requirements are allocated to SUBSYSTEMs A and B and owed down to their respective development speci cations. So, in terms of what the SYSTEM is expected to accomplish, what does this mean It means:

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