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Not to exceed Less than or equal to Greater than or equal to In accordance with (IAW) Not exceed And so forth



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On the other hand, if the reputation report deviates past the threshold, then the reporting node s trust value is lowered The receiving node also decides whether to integrate the deviating information or not, depending on whether the reporting node is trusted or untrusted, respectively To use a real-world example, if a trusted friend tells us something that is counter to our experience, we give the bene t of the doubt, but too many such deviations will cause us to lose our trust in the friend..





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33.5 Identifying the Requirement Veri cation Method Table 33.3 Examples of primitive requirements using the tabular approach Requirement ID SYS_1 Capability to be Provided The SYSTEM shall operate from an external power source The gross weight of the SYSTEM shall . . . The SYSTEM shall operate . . . On receipt of a command from the operator, the SYSTEM shall produce reports formatted The SYSTEM shall sense overload conditions that . . . Relational Operators Rated at Boundary Constraints, Thresholds, Tolerances, or Conditions 110 vac +/- 10%

SYS_123 SYS_341 SYS_426

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In RRS, only fresh information is exchanged. Unlike CORE, RRS gives more weight to current behavior than the past. The authors argue that, if more weight is given to past behavior, then a malicious node can choose to be good initially until it builds a high reputation and trust value and then chooses to misbehave. By assigning more weight to current behavior, the malicious node is forced to cooperate on a continuing basis to survive in the network. 13.6.4 RFSN RFSN stands for Reputation-based Framework for Sensor Networks. This model was proposed by Ganeriwal and Srivastava [2]. RFSN is a distributed, symmetric reputation-based model that uses both rst-hand and second-hand information for updating reputation values. In RFSN, nodes maintain the reputation and trust values for only nodes in their neighborhood. The authors argue that there exists no sensor network application in which a node will require prior reputation knowledge about a node many hops away. The objective of RFSN is to create a community of trustworthy sensor nodes. RFSN was the rst reputation and-trust-based model designed and developed exclusively for sensor networks. RFSN distinguishes between trust and reputation and uses two different metrics. From Figure 13.2, it is clear that the rst-hand information from the watchdog mechanism and second-hand information are combined to get the reputation value of a node. Then the trust level of a node is determined from its reputation. Finally, based on the trust value, the node s behavior toward the node in question is determined. If the trust value is above a certain threshold, then the behavior is cooperate ; otherwise, it is don t cooperate.

SYS_525

The system and related business assets were sold for several million dollars to recoup some of the project expenses.

Capability 24, which represents a speci c use case. The remainder of the columns focus attention on substantive content such as types of relational operators; boundary constraints, tolerances, or conditions; and notes. Notice how Table 33.2 focuses on the primary content of the requirement and AVOIDS becoming mired in grammar. Once the elements of the requirements are established, the next step is to translate the contents into a syntax statement. Develop the Syntactical Statement Structure. Step 2 translates the primitive requirement into a text phrase as illustrated in Table 33.3.

The third step requires the syntactical statements in Table 33.3 to be transformed into a clear and concise grammatical statements that are easily read and understood.

Information Gathering. RFSN, like many other systems, uses a watchdog mechanism for rst-hand information. In RFSN, the watchdog mechanism consists of different modules, typically one for each function it wants to monitor. The higher the number of modules, the greater the resource requirements. RFSN maintains the reputation as a probabilistic distribution which gives it complete freedom, unlike a discrete value. The authors argue that reputation can only be used to statistically predict the future behavior of other nodes and it cannot deterministically de ne the action performed by them. The reputation of all nodes that node i interacts with is maintained in a reputation table.

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