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Password aging that was not forced on accounts providing access to the network D Accounts, which were supposed to have been suspended from disuse, were not followed up on and deleted Answer: A The correct answer is A Closing computer accounts for those who no longer have a need to know puts data at risk more than the other situation mentioned here Time-of-day restrictions (B) is an additional constraint, which can be applied to an account that would otherwise have access to the data, and is therefore not a strong control Password aging (C) is a best practice, but strong passwords may mitigate the risk of not aging the passwords Closing suspended accounts (D) is a good practice and there is some risk that they could be reopened either inadvertently or through social engineering, but this risk is primarily a housekeeping concern 16.

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When evaluating a single sign on implementation, what single factor adds the most risk and provides concern for the IS auditor in their review A The fact that password resets must be effectively propagated across all systems in some way for single sign on to work properly B The issue of systems administrators making changes to a system managed by the single sign on solution, thus putting the accounts out of synchronization.

The next script shows how to implement user controls to manage this feature. It demonstrates both the use of GetASetting (according to the information found in Table 15-1) and ChangeSetting.

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This will assign the nal results that can be reached in space by parallel waves w1 and w2, followed by w3, to the local variable Nresult in the node where this program starts. Only success of both w1 and w2 (i.e., nonempty SNR of each of them), which is coordinated and checked by andparallel rule, will allow wave w3 to be applied simultaneously in all nodes of SNR1 and SNR2, in a replicated mode. This will lead to the nal SNR of the right hand of the assignment. And the nal values obtained in all nodes of this nal SNR (which may be scattered throughout the whole world) will be collected and assigned together as a new content of Nresult in the starting node. These spatial processes are illustrated in Figure 2.18.

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In the route discovery stage of ARA, forward ants (FANT) are used. FANTs are small packets that include a sequence number which is broadcast by a source to its neighbors to establish a route (see Figure 15.10). Each node maintains a routing table that includes a destination address, a next hop, and a pheromone value. When a neighboring node receives a FANT, it considers the source address as a destination address, the previous node as the next hop, and calculates a pheromone value depending on the hop count, before further transmission. When a FANT arrives at the destination it processes the information and deletes it. Next, the destination node will generate a backward ant (BANT) to establish a route back to the source, where similar processing by the intermediate nodes takes place. Once the BANT is received by the source, ARA considers that a path has been established and data packets can be transmitted (see Figure 15.11). Route maintenance also mirrors ant behavior in that data packets propagate through the network changing the pheromone value at each node. Speci cally, if a data packet travels through an intermediate node, the pheromone value increases (i.e., a pheromone counter). Conversely, pheromone values are exponentially decreased over time for nodes not visited by data packets. Thus, ARA does not require any special maintenance packets to be sent for route maintenance. If a pheromone value decreases to zero, a link is deactivated. Nodes are considered to be in sleep mode if a pheromone value reaches a nominal threshold value.

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