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large amounts of intrusion detection data across multiple nodes It is infeasible to exchange a lot of raw data in the peer-to-peer approach among all nodes because of the N N communication problem Without such information, nodes can perform intrusion detection based only on local data and possibly limited data provided by other nodes This may be insuf cient for detection of certain types of attacks 5422 Hierarchical IDS Architecture The alternative to the peer-to-peer architecture is the use of a hierarchy [85, 86] In this approach, every node plays a role in the intrusion detection process but some nodes have greater responsibilities Nodes organize into small neighborhoods to perform intrusion detection All nodes in the neighborhood are responsible for performing local intrusion detection for detecting attacks that can be detected locally At the same time, nodes in the neighborhood elect a leader and all nodes in the neighborhood collect data relevant to the intrusion detection process The collected data is sent to their leader The leader is then responsible for correlating the data and detecting attacks that cannot be detected by a node in the neighborhood using local data This is similar to the way attacks are detected in the peer-to-peer approach except that in that case the data is shared with every node in the network (not just the leader of the neighborhood) Each node in the peer-to-peer approach is then responsible for analyzing the data for attacks (not just the leader in the neighborhood) Leaders of each neighborhood may also cooperate with leaders of other neighborhoods for correlating data across neighborhoods This will help in detecting attacks spanning multiple neighborhoods In the hierarchical architecture, alerts about malicious behavior within the neighborhood are sent to the leader The leader is then responsible for sharing the alerts with other nodes in the neighborhood and with leaders from other neighborhoods In a similar manner, responses to attacks can be either decided locally or driven by the leader once it determines that there is an attack by correlating events received from the neighborhood Leaders can also coordinate responses across neighborhoods This concept can be extended so that a complete hierarchy that covers the whole network may be formed Neighborhoods can be formed using clustering algorithms and leaders can be elected using the same algorithms that elect clusterheads Such algorithms have been used in the past in routing protocols for MANET We will discuss several potential clustering algorithms in Section 5431 An example hierarchy is shown in Figure 56 Nodes in a neighborhood elect a leader ( rst-level clusterheads) First-level clusterheads may elect second-level clusterheads responsible for correlating data across neighborhoods and so on until there is a well-established hierarchy represented as a tree with a root node and leaf nodes, as shown in Figure 56 The hierarchy formation needs to be designed in view of the unique requirements of the MANET environment For example, the hierarchy needs to adapt well to movements of nodes A static hierarchy where leaders are elected at the beginning of the operation of the network without any changes being allowed is not acceptable in a MANET environment Nodes that move together as a group probably need to be part of the neighborhood in the hierarchy concept discussed earlier Also, not every node may be elected a leader and take increased IDS responsibilities Nodes with limited battery life probably should not be assigned leaders and take on those additional responsibilities It is also preferable that nodes that are hardened from a security viewpoint and better protected than other nodes become leaders and take on more of the coordination responsibilities This makes it more likely that the IDS functions will execute correctly We will discuss in.



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preserve the ergonomic features of the paper version and so long as the tests involved are not particularly speeded

0% 10% 15% 27% 30% 35% 386%

Note The first two brackets of these tables may be combined, provided zero withholding is used to credit withholding amounts computed by the combined bracket rates, eg, $0 to $51 and $51 to $164 combined to read, Over $0, But not over $164

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The employee s excess wage (gross wage less amount for allowances claimed) is used with the applicable percentage rates and subtraction factors to calculate the amount of income tax withheld





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The whole issue of cheating needs to be considered from a very different viewpoint for personality inventories than for cognitive ability tests For the former there are no right answers and hence there is no scoring key to be compromised Response bias, faking good , and so on are invisible processes that can occur as readily in a proctored situation as an unproctored one As Harris points out, we need to consider test administration modes in relation to the type of test being administered: self-report inventories as opposed to cognitive or knowledge tests The use of cognitive tests in controlled mode (ie restricted but unsupervised) raises interesting questions We would generally regard cognitive tests as needing to be restricted to supervised conditions of administration, in order to ensure that cheating was not possible and the security of the items was not compromised Supervision is also important for checking the identity of the test taker Baron, Bartram, and Miles (2001), however, describe the use of third generation test manufacturing procedures as the basis for online ability screening instruments that are presented in controlled mode as part of a job recruitment process The instruments are constructed using item sampling from a bank with various constraints set to control test length and dif culty A different test is created for each test taker, thus making it dif cult to cheat The delivery software is also carefully constructed to make it impossible to interfere with timing or other aspects of the delivery and administration (any such attempts are detected and reported) The use of online screening tests such as this provide organisations with considerable cost bene ts in terms of the overall average cost per hired person, as it enables them to screen out a higher proportion of applicants before they are brought into an assessment centre It is important to note that the use of this sort of pre-screen assessment prevents people from getting others to help them complete the test or even getting someone else to do the whole test on their behalf However, it is also important to understand that the screening test is part of a larger process, a process that is made explicit to the test taker: Anyone who passes the screen may be reassessed under supervised conditions later, in order to detect any false positives, and all applicants are asked to sign up to an honesty contract (see 1).

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