Fault Diagnosis Schemes for Low-Energy Block Cipher Midori Benchmarked on FPGA
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The document proposes fault diagnosis schemes for variants of the Midori lightweight block cipher to improve security. Fault diagnosis schemes are proposed for the nonlinear S-box layer and round structures of 64-bit and 128-bit Midori. The schemes are implemented on an FPGA and fault injection simulations show they provide high error coverage. The proposed error detection architectures make Midori implementations more reliable while maintaining low area, power and latency.
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This document discusses network security and cryptography. It begins by defining network security and explaining the key areas of secrecy, authentication, non-repudiation, and integrity control. It then discusses what cryptography is, explaining that it uses mathematics to encrypt and decrypt data to provide security. The document provides an overview of symmetric and asymmetric key encryption techniques as well as hash functions. It also discusses some existing network security systems and their use of symmetric encryption with periodic key distribution and refresh.
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IJCER (www.ijceronline.com) International Journal of computational Engineerin...
This document describes an area optimized and pipelined FPGA implementation of the AES encryption and decryption algorithm. The AES algorithm is divided into four 32-bit units that are processed sequentially with a clock. This reduces the chip size compared to previous implementations that processed the full 128-bit blocks. Pipelining is used to increase throughput. The implementation is tested on a Spartan 3 FPGA using VHDL. It aims to achieve both high throughput and reduced hardware usage compared to prior designs.
978-1-4577-1343-912$26.00 ยฉ2014 IEEE Reliability an.docx
978-1-4577-1343-9/12/$26.00 ยฉ2014 IEEE
Reliability and Fault Tolerance Analysis of FPGA
Platforms
Mihaela Radu
Department of Electrical and Computer Engineering Technology
Farmingdale State College
Farmingdale, USA
[emailย protected]
Abstract-This paper presents reliability and fault tolerance
analyses of FPGA platforms. FPGA stands for Field
Programmable Gate Arrays. It is a digital technology designed to
be configured by a customer or a designer after manufacturing-
hence "field-programmableโ. The FPGA configuration is
generally specified using a Hardware Description Language
(HDL), similar to that used for an Application-Specific integrated
Circuit (ASIC). The FPGA platforms that are investigated are
Digilent Nexys digital design platforms, built around Xilinx
FPGA technology. They are ideal platforms for any engineer to
gain experience with Xilinx's latest technologies, and are
perfectly suited to the classroom. These platforms are intensively
used in learning environments, such as colleges and universities
world-wide, so they need to be reliable and robust, surviving
intensive use over the years. Advanced reliability estimations for
these FPGA platforms are presented, using various modules and
prediction methods of CARE-CAD tool, a powerful software tool
for reliability analysis (Mean Time Between Failures Module,
Fault Tree Analysis Module, Reliability Block Diagram Module).
After various reliability estimations are performed considering
every functional block of the FPGA platforms, fault tolerance
analyses are performed. Fault tolerant techniques, based on
hardware redundancy, are suggested for the less reliable blocks
of the platforms. New reliability analyses are performed to see
if the addition of redundant blocks and components is justified,
improving the reliability of the platforms for short and long
mission times. Estimating the reliability of various blocks of the
FPGA platforms help the designer to make the necessary
changes, designing more robust products.
Keywords-FPGA platforms; Reliability models; Failure rate;
Redundancy; Fault Tolerance
I. INTRODUCTION
The use of Field Programmable Gate Arrays platforms is
growing in terrestrial and space based applications because of
the low application development cost, the short time to market
and the reprogramming flexibility that they offer. Given the
current demand for feasible, reconfigurable and application-
specific functionality among a host of space and terrestrial
applications, high density SRAM based FPGAs provide a low-
cost solution which can be readily developed for the desired
constraints.
The current industry trend of shrinking device size helps
SRAM-based FPGA to be faster and denser, but at the same
time also make them less reliable. With shrinking transistor
size, the charge required to switch them, and thus induce a
single bit error, also shrinks, making transistors more prone to
.
publication1
This document presents research on inducing faults in an ARM9 general purpose CPU through undervolting. It characterizes the fault model and induced errors. It is shown that undervolting gradually increases faulty computations. In a specific voltage range, most faulty computations are caused by single faults. Experimental attacks are presented on AES and RSA implementations, validating the practical ability to break ciphers with this fault injection technique. For AES, a new key recovery attack is presented. For RSA, a new plaintext recovery attack from a correct and faulty ciphertext is shown.
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List of IEEE NS2 Projects. It Contains the IEEE Projects in the Language NS2 with ieee publication year 2014
IEEE 2014 NS2 Projects
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Application Layer Security for IoT: The Case Study of a Smart Home
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ุฉ (ููู ููู
ุฉ !!!!)
#ููู
_ู
ุงูู_ุฏุฑุฎ
3- ุฏูุฉ ุงููุชุงุจุฉ ูุงูุตูุฑ ุนุงููุฉ ุฌุฏุงู ุฌุฏุงู ุฌุฏุงู
4- ูููุงูู ุจุนุถ ุงูู
ุนููู
ุงุช ุชู
ุชูุถูุญูุง ุจุดูู ุชูุตููู ุฌุฏุงู (ุชูุนุชุจุฑ ูุฏู ุงูุทุงูุจ ุฃู ุงูุทุงูุจุฉ ุจุฅููุง ู
ุนููู
ุงุช ู
ูุจูู
ุฉ ูู
ุน ุฐูู ุชู
ุชูุถูุญ ูุฐูู ุงูู
ุนููู
ุงุช ุงูู
ูุจูู
ุฉ ุจุดูู ุชูุตููู ุฌุฏุงู
5- ุงูู
ูุฒู
ุฉ ุชุดุฑุญ ููุณูุง ุจ ููุณูุง ุจุณ ุชููู ุชุนุงู ุงูุฑุงูู
6- ุชุญุชูู ุงูู
ูุฒู
ุฉ ูู ุงูู ุณูุงูุฏ ุนูู ุฎุงุฑุทุฉ ุชุชุถู
ู ุฌู
ูุน ุชูุฑูุนุงุช ู
ุนููู
ุงุช ุงูุฌูุงุฒ ุงูููููู ุงูู
ุฐููุฑุฉ ูู ูุฐูู ุงูู
ูุฒู
ุฉ
ูุงุฎูุฑุงู ูุฐูู ุงูู
ูุฒู
ุฉ ุญูุงูู ุนูููู
ูุฅุชู
ูู ู
ููู
ุฅู ุชุฏุนููู ุจุงูุฎูุฑ ูุงูุตุญุฉ ูุงูุนุงููุฉ ููุท
ูู ุงูุชูููู ุฒู
ูุงุฆู ูุฒู
ููุงุชู ุ ุฒู
ูููู
ู
ุญู
ุฏ ุงูุฐูุจู ๐๐
๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ๐ฅ
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Fault Diagnosis Schemes for Low-Energy Block Cipher Midori Benchmarked on FPGA
- 1. Fault Diagnosis Schemes for Low-Energy Block Cipher Midori Benchmarked on FPGA ABSTRACT: Achieving secure high-performance implementations for constrained applications such as implantable and wearable medical devices are a priority in efficient block ciphers. However, security of these algorithms is not guaranteed in the presence of malicious and natural faults. Recently, a new lightweight block cipher, Midori, has been proposed that optimizes the energy consumption besides having low latency and hardware complexity. In this paper, fault diagnosis schemes for variants of Midori are proposed. To the best of the authorsโ knowledge, there has been no fault diagnosis scheme presented in the literature for Midori to date. The fault diagnosis schemes are provided for the nonlinear S-box layer and for the round structures with both 64-bit and 128-bit Midori symmetric key ciphers. The proposed schemes are benchmarked on a field programmable gate array and their error coverage is assessed with fault-injection simulations. These proposed error detection architectures make the implementations of this new low-energy lightweight block cipher more reliable. The proposed architecture of this paper analysis the logic size, area and power consumption using Xilinx 14.2.
- 2. SOFTWARE IMPLEMENTATION: ๏ท Modelsim ๏ท Xilinx ISE