Automotive‐Grade Secure Hardware

2021 ◽  
pp. 37-50
Keyword(s):  
2012 ◽  
Author(s):  
Youngok Pino ◽  
Garrett S. Rose

2021 ◽  
Vol 54 (6) ◽  
pp. 1-36
Author(s):  
Shufan Fei ◽  
Zheng Yan ◽  
Wenxiu Ding ◽  
Haomeng Xie

Trusted Execution Environments (TEEs) have been widely used in many security-critical applications. The popularity of TEEs derives from its high security and trustworthiness supported by secure hardware. Intel Software Guard Extensions (SGX) is one of the most representative TEEs that creates an isolated environment on an untrusted operating system, thus providing run-time protection for the execution of security-critical code and data. However, Intel SGX is far from the acme of perfection. It has become a target of various attacks due to its security vulnerabilities. Researchers and practitioners have paid attention to the security vulnerabilities of SGX and investigated optimization solutions in real applications. Unfortunately, existing literature lacks a thorough review of security vulnerabilities of SGX and their countermeasures. In this article, we fill this gap. Specifically, we propose two sets of criteria for estimating security risks of existing attacks and evaluating defense effects brought by attack countermeasures. Furthermore, we propose a taxonomy of SGX security vulnerabilities and shed light on corresponding attack vectors. After that, we review published attacks and existing countermeasures, as well as evaluate them by employing our proposed criteria. At last, on the strength of our survey, we propose some open challenges and future directions in the research of SGX security.


Author(s):  
Alexandra Dmitrienko ◽  
Stephan Heuser ◽  
Thien Duc Nguyen ◽  
Marcos da Silva Ramos ◽  
Andre Rein ◽  
...  

2021 ◽  
Author(s):  
Sisong Ru ◽  
Bingbing Zhang ◽  
Yixin Jie ◽  
Chi Zhang ◽  
Lingbo Wei ◽  
...  

Electronics ◽  
2020 ◽  
Vol 9 (12) ◽  
pp. 2050
Author(s):  
Malek Safieh ◽  
Johann-Philipp Thiers ◽  
Jürgen Freudenberger

This work presents a new concept to implement the elliptic curve point multiplication (PM). This computation is based on a new modular arithmetic over Gaussian integer fields. Gaussian integers are a subset of the complex numbers such that the real and imaginary parts are integers. Since Gaussian integer fields are isomorphic to prime fields, this arithmetic is suitable for many elliptic curves. Representing the key by a Gaussian integer expansion is beneficial to reduce the computational complexity and the memory requirements of secure hardware implementations, which are robust against attacks. Furthermore, an area-efficient coprocessor design is proposed with an arithmetic unit that enables Montgomery modular arithmetic over Gaussian integers. The proposed architecture and the new arithmetic provide high flexibility, i.e., binary and non-binary key expansions as well as protected and unprotected PM calculations are supported. The proposed coprocessor is a competitive solution for a compact ECC processor suitable for applications in small embedded systems.


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