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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Henry Holtzman and John Maeda.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Shen, Daniel Z</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2008-05-19T16:01:33Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2006</dim:field>
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   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">216881946</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2006.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 101-102).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The work documented in this thesis is part of the OpenTag project, which has the goal of designing and developing a flexible and more powerful RFID system to meet the needs of the approaching ubiquitous tagging of everyday items. The focus of this thesis is on methods to improve privacy control in item level RFID tags. Several methods for the prevention of unwanted identification and tracking of tagged items are explored in the context of item level tags, which are greatly limited in size, cost, and computational power. A subset of the methods are implemented in RFID reader-side software and in an RFID Tag Emulator that mimics the behavior of an RFID tag while being suitable for time and cost efficient prototyping.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Daniel Z. Chen.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">102 p.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="subject" lang="en_US">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">OpenTag : privacy control methods in RFID</dim:field>
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   	&lt;Title>OpenTag : privacy control methods in RFID&lt;/Title>
   	&lt;Subtitle>Privacy control methods in RFID&lt;/Subtitle>
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   	&lt;Abstract>The work documented in this thesis is part of the OpenTag project, which has the goal of designing and developing a flexible and more powerful RFID system to meet the needs of the approaching ubiquitous tagging of everyday items. The focus of this thesis is on methods to improve privacy control in item level RFID tags. Several methods for the prevention of unwanted identification and tracking of tagged items are explored in the context of item level tags, which are greatly limited in size, cost, and computational power. A subset of the methods are implemented in RFID reader-side software and in an RFID Tag Emulator that mimics the behavior of an RFID tag while being suitable for time and cost efficient prototyping.&lt;/Abstract>
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