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Sybil identities will allocate a channel to each of its neighbors The neighboring node is expected to transmit a message on the allocated channel The veri er node then picks random channels to listen to If no message is heard on the channel selected, then the corresponding node identity is assumed to be a Sybil identity Another approach [76] to detecting Sybil identities leverages the random key predistribution technique (explained in 3) When using random key management schemes, a node is loaded with a set of random keys before deployment This scheme can be leveraged to detect Sybil identities if the set of keys assigned to a node is related to the identity of the node As a result, a node claiming any identity will have to prove the claimed identity by also demonstrating that it has the keys corresponding to that identity The node does so by participating in encryption or decryption operations with the key In this case, an adversary will rst have to compromise many nodes, thereby getting access to the keys corresponding to each identity Following this, the adversary might be able to create fake identities Some other approaches proposed are based on verifying the location for each of the node identities or on registering the identities with a base station Another approach for detecting Sybil attacks is given in [77] In this scheme each node is provided a unique secret by a central authority A hash chain is derived from this secret by the node The node is also provided an identity certi cate by the central authority binding the node s identity to the secret information A node that claims a given identity is then expected to present the identity certi cate and prove that it possesses the unique information certi ed in the identity certi cate The proof might be needed during every interaction between two nodes The hashing property of pre-image resistance can be used to create the proof Thus, the identity certi cate might contain the authenticated value of the root of the hash chain, while every proof instance might require the node to expose the predecessor value in the hash chain.



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are frequently studied in tandem, I focus exclusively here on procedural fairness, as I believe it is in this regard that Internet-based testing involves some different considerations compared with traditional testing processes Thus, the fact that I do not discuss distributive justice here is not a re ection on its theoretical or practical importance; it is equally important that it be included in empirical investigations In one of the few empirical investigations that examined examinee reactions to an internet-based test, Sinar and Reynolds (unpublished paper) investigated a setting in which job applicants were tested in proctored, centralized environments (eg state-run employment centers) under the guidance of trained administrators (p 8) Among their other variables, Sinar and Reynolds examined test-takers answers to an open-ended question ( Do you have any additional comments about this assessment process ) Just over 10% of the sample responded to the administration process Of those, about 25% addressed the speed/ef ciency of the testing, with negative comments outweighing positive comments about two to one Twenty percent of the comments concerned the novelty of the testing process, of which nearly all were positive and none were negative (a few were neutral) General comments and userfriendliness comprised the next two categories, with the overwhelming number being positive Of perhaps greater interest was that 64% of the comments addressed testing environment (sample item: everyone was nice at the staf ng of ce) Of these comments, about four- fths were positive Finally, concerns about fairness/security were raised by 4% of the respondents, and of these the vast majority were positive Sinar and Reynolds (unpublished paper) categorized respondents into highly satis ed and dissatis ed groups (based on their comments) and examined the relationship with withdrawal from the job application process and rejecting/accepting a job offer None of these relationships was statistically signi cant As noted by the authors, however, the Internet-based testing system was carefully designed to ensure a highly effective process The highly positive nature of the reactions was therefore not surprising Speed/ef ciency was the only area that received a signi cant number of negative responses; testing environment received predominantly positive comments Fairness/ security was mentioned by few respondents and most of these comments were positive Clearly, fairness/security was not a major issue here On the other hand, recall that the authors used a proctored, centralized setting that included trained administrators Thus, this setting may represent the best of worlds for testing Also, this was a novelty for test-takers and they may not have considered all the possible implications In building on the study by Sinar and Reynolds, it is important to consider Gilliland (1993), who was the rst to develop a model of procedural fairness in the context of employment testing Gilliland hypothesized a number of relevant dimensions, including consistency, reconsideration opportunity, and feedback A list of these dimensions is provided in Table 61 Bauer et al (2001) created an empirical measure of these dimensions and concluded that a three-factor higher-order model social, structural, and job-relatedness.

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