Security Trends for FPGAS

Badrignans, Benoit; Danger, Jean Luc; Fischer, Viktor; Gogniat, Guy; Torres, Lionel

doi:10.1007/978-94-007-1338-3

Cited by 31 publications

(1 citation statement)

References 8 publications

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“…This serves as an invaluable reference to the state-of-the-art research that is of critical significance to the security of, and trust in, modern society's microelectronic-supported infrastructures. [11][12][13]…”

Section: Existing Problemsmentioning

confidence: 99%

SEREIN Project: Modernization of Postgraduate Studies on Security and Resilience for Human and Industry Related Domains

Boyarchuk¹,

Illiashenko²,

Kharchenko³

et al. 2016

IISIJ

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The paper presents the ongoing EC-funded Tempus project TEMPUS SEREIN (Modernization of Postgraduate Studies on Security and Resilience for Human and Industry Related Domains, http://serein.net.ua) executed by consortia of academia and industry partners from Ukraine and EU countries. The state-of-theart, completed work as well as the next steps of the development of teaching courses of master and doctoral level and in-service training modules on security and resilience for human and industry related domains are described.

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Section: Existing Problemsmentioning

confidence: 99%

SEREIN Project: Modernization of Postgraduate Studies on Security and Resilience for Human and Industry Related Domains

Boyarchuk¹,

Illiashenko²,

Kharchenko³

et al. 2016

IISIJ

View full text Add to dashboard Cite

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In-place Logic Obfuscation for Emerging Nonvolatile FPGAs

Chen

Wang

Zhang

et al. 2017

Fundamentals of IP and SoC Security

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A Closer Look at Security in Random Number Generators Design

Fischer

2012

Lecture Notes in Computer Science

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Abstract. The issue of random number generation is crucial for the implementation of cryptographic systems. Random numbers are often used in key generation processes, authentication protocols, zeroknowledge protocols, padding, in many digital signature and encryption schemes, and even in some side channel attack countermeasures. For these applications, security depends to a great extent on the quality of the source of randomness and on the way this source is exploited. The quality of the generated numbers is checked by statistical tests. In addition to the good statistical properties of the obtained numbers, the output of the generator used in cryptography must be unpredictable. Besides quality and unpredictability requirements, the generator must be robust against aging effects and intentional or unintentional environmental variations, such as temperature, power supply, electromagnetic emanations, etc. In this paper, we discuss practical aspects of a true random number generator design. Special attention is given to the analysis of security requirements and on the way how this requirements can be met in practice.

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Security Trends for FPGAS

Cited by 31 publications

References 8 publications

SEREIN Project: Modernization of Postgraduate Studies on Security and Resilience for Human and Industry Related Domains

SEREIN Project: Modernization of Postgraduate Studies on Security and Resilience for Human and Industry Related Domains

In-place Logic Obfuscation for Emerging Nonvolatile FPGAs

A Closer Look at Security in Random Number Generators Design

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