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The next key question is related to the number of nodes that need to be part of the intrusion detection architecture as well as the role of each If our goal is to detect all the attacks for all possible mobility scenarios, it is likely that all nodes in the system will have to be part of the intrusion detection process because there is always a possibility that a malicious node A will be directly connected to a single node B, which is the only node with direct visibility to the behavior of the malicious node In order to detect node A s malicious behavior, node B will either need to have the ability to analyze A s behavior or will need to have a sensor that collects suf cient evidence and then sends the evidence to some other node C for further analysis Requiring every node to participate in the intrusion detection process may not be desirable, however, due to inef ciencies associated with this approach It is also likely that in practice it will not be possible to require that all nodes devote resources to the intrusion detection process given the resource constraints and the need for the node to execute other applications Sensor networks are good examples of networks with nodes that have severe resource constraints and most likely cannot support IDS running on each node in the network If we are willing to tolerate less than 100 percent detection accuracy, which is probably the case in a lot of applications, it may not be necessary to run IDS on each node If we can utilize only a subset of the total number of nodes in the intrusion detection process, it is important to decide what role each node needs to play in the intrusion detection process There is no general answer to this question that is well suited for all situations The answer depends on several parameters, such as:.



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The chapters by Luecht ( 5) and Harris ( 6) address different aspects of how technology is impacting testing Luecht considers how technology has impacted testing in the high stake world of licensing and certi cation examinations Harris focuses on the impact of technology on testing in the work and organizational eld While Luecht considers system related issues associated with the whole test design, development and delivery process, Harris takes a very different perspective that of the person on the receiving end of these systems: the test taker

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In his chapter, Luecht provides a very clear speci cation of the various systems that comprise a CBT system While his chapter focuses on the design, development and delivery of examinations (such as tests for certi cation or licensure), most of what he says has general applicability In outline he de nes CBT systems as comprising ve main systems, each with their own set of subsystems 1 2 3 4 5 Item development and item banking Test assembly and composition Examinee registration and scheduling Test delivery Post-examination procedures

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The degree of certainty required for the detection If we need to detect intrusions under almost all conditions with minimal false positives then a very large percentage of nodes will need to execute the IDS The mobility scenario expected for the speci c application and mission For example, in a military environment, units tend to move together and be close to each other for a long period of time In such cases a small number of nodes running IDS placed within a unit may be able to detect most intrusions Mode of monitoring If nodes are capable of monitoring in the promiscuous mode whereby each node can receive and analyze any packet transmitted by any of its neighbors, then each node can monitor a larger portion of the traf c If this is not possible, then a node might be restricted to monitoring traf c that it relays In this case, each node can monitor a relatively smaller portion of the traf c A disadvantage of the promiscuous mode of operation, though, is the increased

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Computer-Based Testing and the Internet: Issues and Advances Edited by D Bartram and R K Hambleton # 2006 John Wiley & Sons, Ltd

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power consumption associated with it and the possibility of false positives (see Section 552) The connectivity environment In a at area where there are few obstructions, most nodes usually have multiple neighbors that can observe their behavior In that case, a small percentage of nodes may have visibility of most of the traf c and therefore be able to detect most attacks The capabilities of nodes It may only be possible for a small subset of the nodes to run IDS due to limitations on resources such as power, CPU processing, storage, and bandwidth In that case there may not be a choice and the nodes that have available resources and the necessary capabilities will have to execute the IDS functions Number of nodes that need protection It may be critical to only protect a small subset of the nodes that either store important data or run critical servers The speci c mission or application may be willing to tolerate attacks against a number of other nodes In that case it is probably more important to place nodes running IDS around the important nodes A few additional nodes running IDS scattered throughout the rest of the network might then suf ce Percentage of compromised nodes that can be tolerated Certain applications can continue functioning at an acceptable level even after some percentage of the nodes has been compromised If that is the case then a smaller percentage of IDS nodes may be suf cient to ensure that no more than the acceptable percentage of nodes has been compromised

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Unfortunately, since there are so many parameters in deciding how many and which nodes need to execute the IDS functions, there is no clear-cut answer to this question The answer depends to a large degree on the speci cs of the application and the mission We will discuss some possible schemes that attempt to address this issue later in this section The most important factor in deciding which nodes are part of the intrusion detection system and the role of each is the architecture of the system Typically, we can have two different types of architecture:

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