667 research outputs found
A new Definition and Classification of Physical Unclonable Functions
A new definition of "Physical Unclonable Functions" (PUFs), the first one
that fully captures its intuitive idea among experts, is presented. A PUF is an
information-storage system with a security mechanism that is
1. meant to impede the duplication of a precisely described
storage-functionality in another, separate system and
2. remains effective against an attacker with temporary access to the whole
original system.
A novel classification scheme of the security objectives and mechanisms of
PUFs is proposed and its usefulness to aid future research and security
evaluation is demonstrated. One class of PUF security mechanisms that prevents
an attacker to apply all addresses at which secrets are stored in the
information-storage system, is shown to be closely analogous to cryptographic
encryption. Its development marks the dawn of a new fundamental primitive of
hardware-security engineering: cryptostorage. These results firmly establish
PUFs as a fundamental concept of hardware security.Comment: 6 pages, 3 figures; Proceedings "CS2 '15 Proceedings of the Second
Workshop on Cryptography and Security in Computing Systems", Amsterdam, 2015,
ACM Digital Librar
A Secure Dual-MCU Architecture for Robust Communication of IIoT Devices
The Industrial Internet of Things (IIoT) has already become a part of our
everyday life be it water supply, smart grid, or production, IIoT is
everywhere. For example, factory operators want to know the current state of
the production line. These new demands for data acquisition in modern plants
require industrial components to be able to communicate. Nowadays, network
communication in Industrial Control Systems (ICSs) is often implemented via an
IP-based protocol. This intercommunication also brings a larger attack surface
for hackers. If an IIoT device is influenced by attackers, the physical process
could be affected. For example, a high network load could cause a high Central
Processing Unit (CPU) load and influence the reaction time on the physical
control side. In this paper, we introduce a dual Microcontroller Unit (MCU)
setup to ensure a resilient controlling for IIoT devices like Programmable
Logic Controllers (PLCs). We introduce a possible solution for the demand of
secure architectures in the IIoT. Moreover, we provide a Proof of Concept (PoC)
implementation with a benchmark and a comparison with a standard PLC
Protecting PUF Error Correction by Codeword Masking
One of the main applications of Physical Unclonable Functions~(PUFs) is unique key generation. While the advantages of PUF-based key extraction and embedding have been shown in several papers, physical attacks on it have gained only little interest until now. In this work, we demonstrate the feasibility of a differential power analysis attack on the error correction module of a secure sketch. This attack can also be applied to code-offset fuzzy extractors because they build upon secure sketches. We propose a codeword masking scheme to protect key generation algorithms used for PUFs. Our proposed countermeasure enables masking of linear Error-Correcting Codes~(ECCs) without impact on their error correction capabilities while keeping the overhead low. This is achieved by random masking codewords, which can be efficiently generated by the ECC\u27s encoding function. Further, it allows to consistently protect the PUF-based key generation process and can provide the masked key and its mask to a subsequent crypto module which implements masking as well. We demonstrate the practical protection of our codeword masking scheme by attacking a masked secure sketch implementation. We emphasize that, besides protecting code-offset algorithms, the proposed masking scheme can also be applied to index-based syndrome coding and other security-critical error correction modules
Digitalizing nursing in the Bavarian Swabia region of Germany: presentation of the joint project CARE REGIO
The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention
The genetic basis of endometriosis and comorbidity with other pain and inflammatory conditions
Endometriosis is a common condition associated with debilitating pelvic pain and infertility. A genome-wide association study meta-analysis, including 60,674 cases and 701,926 controls of European and East Asian descent, identified 42 genome-wide significant loci comprising 49 distinct association signals. Effect sizes were largest for stage 3/4 disease, driven by ovarian endometriosis. Identified signals explained up to 5.01% of disease variance and regulated expression or methylation of genes in endometrium and blood, many of which were associated with pain perception/maintenance (SRP14/BMF, GDAP1, MLLT10, BSN and NGF). We observed significant genetic correlations between endometriosis and 11 pain conditions, including migraine, back and multisite chronic pain (MCP), as well as inflammatory conditions, including asthma and osteoarthritis. Multitrait genetic analyses identified substantial sharing of variants associated with endometriosis and MCP/migraine. Targeted investigations of genetically regulated mechanisms shared between endometriosis and other pain conditions are needed to aid the development of new treatments and facilitate early symptomatic intervention
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