Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Energy Efficient Hardware Design for...
~
Zhang, Yiqun.
Linked to FindBook
Google Book
Amazon
博客來
Energy Efficient Hardware Design for Securing the Internet-of-Things.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Energy Efficient Hardware Design for Securing the Internet-of-Things./
Author:
Zhang, Yiqun.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:
112 p.
Notes:
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Contained By:
Dissertations Abstracts International80-09B.
Subject:
Electrical engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13840387
ISBN:
9780438885974
Energy Efficient Hardware Design for Securing the Internet-of-Things.
Zhang, Yiqun.
Energy Efficient Hardware Design for Securing the Internet-of-Things.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 112 p.
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
Thesis (Ph.D.)--University of Michigan, 2018.
This item must not be added to any third party search indexes.
The Internet of Things (IoT) is a rapidly growing field that holds potential to transform our everyday lives by placing tiny devices and sensors everywhere. The ubiquity and scale of IoT devices require them to be extremely energy efficient. Given the physical exposure to malicious agents, security is a critical challenge within the constrained resources. This dissertation presents energy-efficient hardware designs for IoT security. First, this dissertation presents a lightweight Advanced Encryption Standard (AES) accelerator design. By analyzing the algorithm, a novel method to manipulate two internal steps to eliminate storage registers and replace flip-flops with latches to save area is discovered. The proposed AES accelerator achieves state-of-art area and energy efficiency. Second, the inflexibility and high Non-Recurring Engineering (NRE) costs of Application-Specific-Integrated-Circuits (ASICs) motivate a more flexible solution. This dissertation presents a reconfigurable cryptographic processor, called Recryptor, which achieves performance and energy improvements for a wide range of security algorithms across public key/secret key cryptography and hash functions. The proposed design employs circuit techniques in-memory and near-memory computing and is more resilient to power analysis attack. In addition, a simulator for in-memory computation is proposed. It is of high cost to design and evaluate new-architecture like in-memory computing in Register-transfer level (RTL). A C-based simulator is designed to enable fast design space exploration and large workload simulations. Elliptic curve arithmetic and Galois counter mode are evaluated in this work. Lastly, an error resilient register circuit, called iRazor , is designed to tolerate unpredictable variations in manufacturing process operating temperature and voltage of VLSI systems. When integrated into an ARM processor, this adaptive approach outperforms competing industrial techniques such as frequency binning and canary circuits in performance and energy.
ISBN: 9780438885974Subjects--Topical Terms:
649834
Electrical engineering.
Energy Efficient Hardware Design for Securing the Internet-of-Things.
LDR
:03194nmm a2200325 4500
001
2207874
005
20190923114245.5
008
201008s2018 ||||||||||||||||| ||eng d
020
$a
9780438885974
035
$a
(MiAaPQ)AAI13840387
035
$a
(MiAaPQ)umichrackham:002099
035
$a
AAI13840387
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Zhang, Yiqun.
$3
3434874
245
1 0
$a
Energy Efficient Hardware Design for Securing the Internet-of-Things.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
112 p.
500
$a
Source: Dissertations Abstracts International, Volume: 80-09, Section: B.
500
$a
Publisher info.: Dissertation/Thesis.
500
$a
Advisor: Sylvester, Dennis Michael.
502
$a
Thesis (Ph.D.)--University of Michigan, 2018.
506
$a
This item must not be added to any third party search indexes.
506
$a
This item must not be sold to any third party vendors.
520
$a
The Internet of Things (IoT) is a rapidly growing field that holds potential to transform our everyday lives by placing tiny devices and sensors everywhere. The ubiquity and scale of IoT devices require them to be extremely energy efficient. Given the physical exposure to malicious agents, security is a critical challenge within the constrained resources. This dissertation presents energy-efficient hardware designs for IoT security. First, this dissertation presents a lightweight Advanced Encryption Standard (AES) accelerator design. By analyzing the algorithm, a novel method to manipulate two internal steps to eliminate storage registers and replace flip-flops with latches to save area is discovered. The proposed AES accelerator achieves state-of-art area and energy efficiency. Second, the inflexibility and high Non-Recurring Engineering (NRE) costs of Application-Specific-Integrated-Circuits (ASICs) motivate a more flexible solution. This dissertation presents a reconfigurable cryptographic processor, called Recryptor, which achieves performance and energy improvements for a wide range of security algorithms across public key/secret key cryptography and hash functions. The proposed design employs circuit techniques in-memory and near-memory computing and is more resilient to power analysis attack. In addition, a simulator for in-memory computation is proposed. It is of high cost to design and evaluate new-architecture like in-memory computing in Register-transfer level (RTL). A C-based simulator is designed to enable fast design space exploration and large workload simulations. Elliptic curve arithmetic and Galois counter mode are evaluated in this work. Lastly, an error resilient register circuit, called iRazor , is designed to tolerate unpredictable variations in manufacturing process operating temperature and voltage of VLSI systems. When integrated into an ARM processor, this adaptive approach outperforms competing industrial techniques such as frequency binning and canary circuits in performance and energy.
590
$a
School code: 0127.
650
4
$a
Electrical engineering.
$3
649834
690
$a
0544
710
2
$a
University of Michigan.
$b
Electrical Engineering.
$3
2093655
773
0
$t
Dissertations Abstracts International
$g
80-09B.
790
$a
0127
791
$a
Ph.D.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13840387
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9384423
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login