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• W2888253464 abstract "The number of embedded systems and resource constrained devices is steadily increasing due to trends such as the Internet of Things (IoT) and the Industrial IoT. With that, also the frequency and extent of cyber-attacks that target these systems are rapidly increasing. Not only are most devices not adequately secured against such attacks, but also use default settings and authentication credentials. These problems are especially critical if the devices are deployed in industrial contexts where managing configurations and authentication credentials is a complex and inconvenient process. Therefore, in this paper, we present a device configuration approach that automatically derives authentication credentials from device configurations. We demonstrate that the additional performance required by our approach is acceptable while the provided security is reasonable when compared to traditional authentication approaches such as passwords. The security benefits of our approach are highlighted by an extensive security and threat analysis that demonstrates that 9 out of 10 identified threats are mitigated by our approach." @default.
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• W2888253464 date "2018-06-01" @default.
• W2888253464 modified "2023-09-28" @default.
• W2888253464 title "Automated Authentication Credential Derivation for the Secured Configuration of IoT Devices" @default.
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• W2888253464 doi "https://doi.org/10.1109/sies.2018.8442106" @default.
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