<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T02:25:32Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/139330" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/139330</identifier><datestamp>2022-01-15T03:14:48Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Chandrakasan, Anantha P.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Banerjee, Utsav</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">2022-01-14T15:04:29Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="issued">2021-06</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2021-06-23T19:34:35.016Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/139330</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="orcid">https://orcid.org/0000-0001-7949-4178</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">The Internet of Things (IoT) consists of an ever-growing network of wireless-connected electronic devices which are always collecting, processing and communicating data. While the IoT has inspired many new applications, these embedded devices have unique security challenges, thus making IoT security a major concern. Security architectures for IoT devices, both software and hardware, must be low-power and have low energy consumption, while still providing strong cryptographic guarantees and side-channel resilience. Network security protocols use a variety of cryptographic algorithms to achieve these goals. However, the associated computational complexity makes it extremely important to have low-power and energy-efficient embedded implementations of cryptography, especially public key algorithms.&#xd;
&#xd;
The research presented in this thesis demonstrates the design, implementation and experimental validation of efficient next-generation cryptography for embedded systems using software optimization, hardware acceleration and software-hardware co-design, along with side-channel countermeasures. Using circuit, architecture and algorithm techniques, efficient hardware-accelerated implementations of elliptic curve cryptography, pairing-based cryptography, lattice-based cryptography and other post-quantum cryptography algorithms are demonstrated with up to two orders of magnitude energy savings compared to state-of-the-art software and hardware. These configurable hardware accelerators are further coupled with a low-power micro-processor to provide the flexibility to implement a wide variety of security protocols, thus enabling strong and affordable security for energy-limited IoT nodes.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights">In Copyright - Educational Use Permitted</dim:field>
   <dim:field mdschema="dc" element="rights">Copyright MIT</dim:field>
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   <dim:field mdschema="dc" element="title">Efficient Algorithms, Protocols and Hardware Architectures for Next-Generation Cryptography in Embedded Systems</dim:field>
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   	&lt;Title>Efficient Algorithms, Protocols and Hardware Architectures for Next-Generation Cryptography in Embedded Systems&lt;/Title>
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   	&lt;PublicationDate>2021-06&lt;/PublicationDate>
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        	&lt;DisplayName>Banerjee, Utsav&lt;/DisplayName>
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   	&lt;Abstract>The Internet of Things (IoT) consists of an ever-growing network of wireless-connected electronic devices which are always collecting, processing and communicating data. While the IoT has inspired many new applications, these embedded devices have unique security challenges, thus making IoT security a major concern. Security architectures for IoT devices, both software and hardware, must be low-power and have low energy consumption, while still providing strong cryptographic guarantees and side-channel resilience. Network security protocols use a variety of cryptographic algorithms to achieve these goals. However, the associated computational complexity makes it extremely important to have low-power and energy-efficient embedded implementations of cryptography, especially public key algorithms.&#xd;
&#xd;
The research presented in this thesis demonstrates the design, implementation and experimental validation of efficient next-generation cryptography for embedded systems using software optimization, hardware acceleration and software-hardware co-design, along with side-channel countermeasures. Using circuit, architecture and algorithm techniques, efficient hardware-accelerated implementations of elliptic curve cryptography, pairing-based cryptography, lattice-based cryptography and other post-quantum cryptography algorithms are demonstrated with up to two orders of magnitude energy savings compared to state-of-the-art software and hardware. These configurable hardware accelerators are further coupled with a low-power micro-processor to provide the flexibility to implement a wide variety of security protocols, thus enabling strong and affordable security for energy-limited IoT nodes.&lt;/Abstract>
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