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[93] P Michiardi and R Molva, Core: a Collaborative Reputation mechanism to enforce node cooperation in Mobile Ad Hoc Networks, Communication and Multimedia Security Conference, 2002 [94] P-W Yau and C J Mitchell, Reputation Methods for Routing Security for Mobile Ad Hoc Networks, in Proceedings of SympoTIC 03, Joint IST Workshop on Mobile Future and Symposium on Trends in Communications, Bratislava, October 2003, IEEE Press, New York 2003, pp 130 137 [95] L Buttyan and J-P Hubaux, Enforcing Service Availability in Mobile Ad-Hoc WANs, Proceedings of the IEEE/ACM Workshop on Mobile Ad Hoc Networking and Computing (MobiHOC), Boston, MA, August 2000 [96] L Buttyan and J-P Hubaux, Stimulating Cooperation in Self-Organizing Mobile Ad Hoc Networks, Technical Report no DSC/2001/046, Swiss Federal Institute of Technology, Lausanne, August 2001 [97] L Buttyan and J-P Hubaux, Stimulating Cooperation in Self-organizing Mobile Ad Hoc Networks, MONET Journal of Mobile Networks, March 2002, pp 579 592 [98] A Deligiannakis, Y Kotidis, and N Roussopoulos, Compressing Historical Information in Sensor Networks, ACM SIGMOD International Conference on Management of Data, 2004 [99] M Little and C Ko, Detecting Coordinated Attacks in Tactical Wireless Networks using Cooperative Signature-based Detectors, Milcom, October 2005 [100] C Kruegel, T Toth, and C Kerer, Decentralized Event Correlation for Intrusion Detection, in Proceedings of Information Security and Cryptology (ICISC), Seoul, 6 7 December 2001, pp 114 131 [101] R Rao and G Kesidis, Detecting Malicious Packet Dropping Using Statistically Regular Traf c Patterns in Multihop Wireless Networks that are not Bandwidth Limited, in Proceedings of IEEE Globecom, San Francisco, December 2003 [102] F Anjum and R Talpade, Packet-Drop Detection Algorithm for Ad hoc Networks, Proceedings of 60th IEEE Vehicular Technology Conference, September 2004 [103] V D Gligor, Security of Emergent Properties in Ad-hoc Networks, in Proceedings of International Workshop on Security Protocols, April, 2004 [104] Y Zhang and W Lee, Intrusion Detection in Wireless Ad Hoc Networks, in Proceedings of The Sixth International Conference on Mobile Computing and Networking (MobiCom 2000), Boston, MA, August 2000 [105] Y Zhang, W Lee, and Y Huang, Intrusion Detection Techniques for Mobile Wireless Networks, in Mobile Networks and Applications, 9(5), 545 556 (2003) [106] M Slomin and E Lupu, Security and Management Policy Speci cation, IEEE Network, 16(2), 10 19 (2002) [107] L Kagal, T Finin, and A Joshi, A Policy Language for a Pervasive Computing Environment, IEEE 4th International Workshop on Policies for Distributed Systems and Networks, Policy 2003, Lake Como, Italy, 2003 [108] R Ortalo, A Flexible Method for Information System Security Policy Speci cation, in Proceedings of 5th European Symposium Research in Computer Security, Louvain-la-Neuve, 1998 [109] J Lobo, R Bhatia, and S Naqvi, A Policy Description Language, in Proceedings of AAAI, Orlando, FL, July 1999 [110] P McDaniel and A Prakash, Ismene: Provisioning and Policy Reconciliation in Secure Group Communication, Technical Report CSE-TR-438-00, Electrical Engineering and Computer Science, University of Michigan, December 2000 [111] P McDaniel, A Prakash, J Irrer, S Mittal, and T Thuang, Flexibly Constructing Secure Groups in Antigone 20, DISCEX 20001, California, June 2001 [112] Information Survivability Conference and Exposition, DISCEX 2003, Washington DC, April 2003.

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and then list each box s contents on a separate index document However, it is possible that the index number will be improperly transcribed onto the master index document, so anyone referring to it will not know where some documents are stored To avoid this problem, it is useful to list the general contents of each box on the outside of the box, using a marker pen This way, there is no risk of losing track of documents and someone without access to the master index to still find stored documents with minimal search time

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Though the arrival of the computer in educational and psychological testing has been a relatively recent event, it has already completely revolutionized our conception of testing For one thing, the computer has exchanged the idea of a test item as a few lines of text for one of an item as an assignment presented to an examinee in an environment with graphics, video, application software, databases, and sound Also, the examinee s response need no longer be a handwritten response or an ink bubble on an answer sheet Computers can record such actions as an examinee maneuvering a cursor on the screen, clicking a hot spot, giving input to an application program, and manipulating a device with built-in sensors At the same time, they automatically record the speed at which those actions are executed Though the changing of the stimulus and response formats is the most visible aspect of the computer revolution in testing, behind the scenes there are other psychometric developments aided by the great power of the computer, and these will be the primary purpose of the chapter The key feature of these developments is that the computer allows us to apply results from psychometric modeling to testing in real time For example, a well known probabilistic model for the response of an examinee to a test item is the three-parameter logistic (3PL) model in itemresponse theory (IRT) (see, eg, Hambleton & Swaminathan, 1985) This model de nes the probability of a correct response Ui 1 to item i as eai bi 1 eai bi

This chapter summarized the basic document storage requirements for all types of payroll-related documents Most of these requirements are based on a small number of federal laws and regulations However, there are cases where more stringent state laws will require that additional information be retained or kept for longer periods than what is mandated by the federal government To be sure, contact your local state government to see if any of these overriding state laws apply to your specific situation

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