607 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
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
Les droits disciplinaires des fonctions publiques : « unification », « harmonisation » ou « distanciation ». A propos de la loi du 26 avril 2016 relative à la déontologie et aux droits et obligations des fonctionnaires
The production of tt‾ , W+bb‾ and W+cc‾ is studied in the forward region of proton–proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98±0.02 fb−1 . The W bosons are reconstructed in the decays W→ℓν , where ℓ denotes muon or electron, while the b and c quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions.The production of , and is studied in the forward region of proton-proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98 0.02 \mbox{fb}^{-1}. The bosons are reconstructed in the decays , where denotes muon or electron, while the and quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions
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