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special case of the pairwise key approach where a node shares a pairwise key with only one another special node (which is the base station) SNEP has several advantages such as low communication overhead, semantic security, data authentication, and replay protection Compromise of sensors is also partially addressed since a compromised node can only break the secure link between the node and the base station The authors also address other communication patterns such as between nodes or node broadcast In this case the base station is expected to act as the trusted entity Therefore, the base station distributes secret keys to the parties that need to communicate This is possible since each of the parties share a secret key with the base station Thus, this approach relies on the existence of a resource rich key distribution center (the base station) to act as a trusted arbiter for key establishment A problem, though, is the need for every node in the network to be able to communicate with this special node This might result in an unbalanced load on the nodes closest to the special node thereby resulting in decreased network lifetime This communication pattern also makes it easy for an adversary to perform traf c analysis In addition, the special node is also a single point of failure Compromising the base station can render the entire network insecure Some of these drawbacks can be addressed partially by having multiple such special nodes in the entire network Another deterministic technique called LEAP (localized encryption and authentication protocol) has been described in [38] This is a key management protocol for sensor networks that is designed to support in-network processing,3 while at the same time providing security properties similar to those provided by pairwise key sharing schemes LEAP provides support for four different types of keys, namely an individual key, a pairwise key, a cluster key, and a group key Each node maintains these four types of keys The need for different types of keys is due to the observation made by the authors that the security requirements of different messages are different Hence a single key would not be suf cient to meet these requirements The individual key is used by a node to communicate with the base station, the pairwise key is used to communicate with a neighboring node, the cluster key is used to communicate with many neighboring nodes, and the group key is used for secure communication with all nodes in the network The individual key on every node is generated and preloaded on the node by the central controller prior to deployment In addition, each node is also preloaded with a different key common to all the nodes This key is used by the node to derive pairwise keys with its neighbors After deployment each sensor node can use this common key to derive a different key with each of its neighbors Following this, each sensor node is expected to delete this common key after a timeout period An adversary is assumed to be unable to compromise any node before the expiration of this timeout period Deletion of this common key prevents the adversary from being able to access it by compromising any sensor node after the initial secure time interval Thus, each link is secured by a different key Hence compromise of a node will only affect the links that the compromised node is involved in Following this every node creates a cluster key and distributes this key to its immediate neighbors using pairwise keys that it shares with each of the neighbors The cluster key can.



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Summary

Figure 26 Venn diagram of a pool of cloned items, with the size of the sets representing the variability of the item parameters





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Procedures and controls are critical components of the payroll process Procedures are designed to increase the efficiency of the department by standardizing work steps, while controls can have the opposite effect by increasing the number of tasks in the procedures in order to ensure that there is no loss of assets The payroll manager must reconcile the conflicting goals of procedures and controls efficiency versus asset control by balancing the need for additional streamlining with any resultant loss of control There is no perfect solution to this balancing act, since it will be based on the number of company locations, the skill level of the staff, the department s organizational structure, and other intangible factors Also, once the payroll manager strikes a balance between the efficiency and control objectives, this issue must be revisited time and again, since the manner in which the payroll department operates will change over time; these changes must be incorporated into procedures and evaluated in terms of their impact on the control environment

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Though anyone can cobble together a payroll system that operates moderately well, there are a number of steps that can be taken to greatly increase the efficiency of this operation The steps, discussed in this chapter,* are called best practices, and are indicative of the work practices used by the operators of highly efficient payroll operations Though some payroll best practices are clearly designed for larger companies with a multitude of employees, others can be used to improve the operations of companies of any size The following sections briefly describe a number of payroll best practices including the pros and cons of their use, any problems with their implementation, and a graphical representation of their cost and installation time The best practices are generally clustered, in order, by those relating to the gathering of payroll data, the processing of that data, and finally its distribution

Such processing would be needed when resorting to data aggregation in sensor networks Passive participation by nodes, where a node does not report on an observation since a similar observation is reported by some other node, also requires network processing Such in-network processing optimizes on the resources available in the network, which is a very important factor, especially in sensor networks

Glas and van der Linden (2003) show that the second part of this conclusion is not necessary, provided we model the situation appropriately Their model is based on two-stage (or strati ed) selection of a test from a pool of cloned items The steps are (1) selection of the families of items in the pool from which an item is to be administered, and (2) random sampling of an items from each selected family A graphical representation of the selection process is given by the Venn diagram in Figure 26 The selection of the families is assumed to be based on a statistical criterion; how this can be done is discussed below However, it is important that the selection of the items from the families is random; the model in the next section is based on this assumption In the hypothetical case depicted in Figure 26, we have much more variability between than within the families Intuitively, the proportion of the total variability that is between the families is an upper bound to the gain in the precision of ability estimation that can be made by optimizing the rst step in the item selection procedure using a statistical criterion The proportion that is within the families determines the loss in precision due to random item sampling in the second step

For the reader to understand which of these best practices is the right one for a specific situation, it is useful to review the table shown in Exhibit 41 This table lists a number of key implementation issues for each best practice It notes the likely cost and duration of implementation, which is of concern to those companies that may have a short time and cost budget for improvements The table is an effective approach for quickly determining which projects to work on and which ones to avoid A danger of using the table in Exhibit 41 to pick only the easiest best practices is that these are primarily quick hits that will generally have a relatively small impact on the overall level of efficiency of the payroll function Accordingly, it is important to insert changes that require greater implementation effort and that have a correspondingly higher payback For example, adding direct deposit is an easy and popular improvement, but a more fundamental change that requires

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