Securing Systems With Indispensable Entropy: LWE-Based Lossless Computational Fuzzy Extractor for the Internet of Things

Huth, Christopher; Becker, Daniela; Merchan, Jorge Guajardo; Duplys, Paul; Güneysu, Tim

doi:10.1109/access.2017.2713835

Cited by 18 publications

(14 citation statements)

References 26 publications

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“…This approach raises the risk of endangering future communications if the key gets compromised or leaked to an adversary. Alternatively, as suggested in [27], a fuzzy extractor can be employed for the key generation. Nevertheless, solutions based on fiducial points like R-peaks in ECG or PPG signals are not secure from adversaries who can infer that peaks from a long distance [24].…”

Section: A Authenticationmentioning

confidence: 99%

Access Control for Implantable Medical Devices

Cámara

Peris-López

Fuentes

et al. 2021

IEEE Trans. Emerg. Topics Comput.

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The telemetry incorporate in the new generation of Implantable Medical Devices (IMDs) allows remote access and reprogramming without interfering with the daily routine of their holders. Despite the benefits of this new feature, such remote access raises new threats related to the access of unauthorized entities to IMDs. Cardiac implants represent the most deployed types of IMD nowadays. Current solutions, to control their remote access, usually use a single feature for authentication. However, this feature is easily replicable, making these authentication schemes vulnerable to attacks. To overcome this limitation, we propose in this article a distance bounding protocol to manage access control of IMDs: ACIMD. ACIMD combines two security mechanisms, namely, identity verification (authentication) and proximity verification (distance checking). The authentication mechanism, formally and informally verified, conforms to the ISO/IEC 9798-2 standard. The distance checking is performed using the whole Electrocardiogram (ECG) signal and relies on the correlation coefficient (comparing an external versus an internal ECG signal) in the Hadamard domain. We evaluate the accuracy and security of ACIMD access control using ECG signals of 199 individuals recorded over 24 hours while considering three adversary strategies. Our results show that ACIMD is 92.92% accurate.

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Section: A Authenticationmentioning

confidence: 99%

Access Control for Implantable Medical Devices

Cámara

Peris-López

Fuentes

et al. 2021

IEEE Trans. Emerg. Topics Comput.

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“…In the literature, FPGA as an embedded processing unit is mainly preferred for generating true random numbers using optical entropy sources due to its up to 343 Gbps throughput capabilities [34]. However, the number of reported random number generators for low-cost low-power embedded systems are highly limited in the literature [27,28,[35][36][37]. These implementations are designed mostly for obtaining high-entropy keys [35].…”

Section: Related Workmentioning

confidence: 99%

“…The strong number generation is required not only for high-performance systems, but it is also a necessity for low-cost electronic systems where data security is critical; such as data logging, smart locks [25] and low data rate wireless communication systems for IoT [26]. On the other hand, for such low-cost embedded system applications in which the hardware resources are limited, it is a challenge to create a random number generator both strongly secure and resource-efficient [27,28]. These systems are generally battery-powered and lack high computing power.…”

Section: Introductionmentioning

confidence: 99%

Cryptographically strong random number generation using integrated CMOS photodiodes for low-cost microcontroller based applications

2021

Turk J Elec Eng & Comp Sci

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In this work, we propose a method to generate random numbers for low-cost, low-power, resource-limited low data-rate microcontrollers using integrated CMOS photodiodes. The proposed method utilizes an integrated CMOS photodiode in the photovoltaic mode as the entropy source. The method is based on serially capturing analog values derived from the integrated CMOS photodiode. The entropy of these values increased by a custom algorithm. The proposed random number generator is devised using an integrated CMOS photodiode manufactured in 180 nm standard CMOS technology. The wide applicably of the random number generator is demonstrated by realizing it on a lowcost Arduino UNO board placed in a typical room environment. The implemented random number generator passes NIST-SP800-22 and AIS31 randomness tests at high scores. The proposed method achieved 5.4Kbps throughput and 7.2% total significance level without any post-processing. The test results show the high cryptographical strength of the proposed method makes it a promising alternative to the currently used random number generation algorithms in low-cost low-resources low-data rate microcontroller-based applications.

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“…This reduces the decoding complexity on-chip, while the hardness of the problem remains unchanged for the attacker. Another implementation can be found in [63].…”

Section: Fuzzy Commitmentmentioning

confidence: 99%

Review of error correction for PUFs and evaluation on state-of-the-art FPGAs

2020

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Efficient error correction and key derivation is a prerequisite to generate secure and reliable keys from PUFs. The most common methods can be divided into linear schemes and pointer-based schemes. This work compares the performance of several previous designs on an algorithmic level concerning the required number of PUF response bits, helper data bits, number of clock cycles, and FPGA slices for two scenarios. One targets the widely used key error probability of 10 −6 , while the other one requires a key error probability of 10 −9. In addition, we provide a wide span of new implementation results on state-of-the-art Xilinx FPGAs and set them in context to old synthesis results on legacy FPGAs.

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Securing Systems With Indispensable Entropy: LWE-Based Lossless Computational Fuzzy Extractor for the Internet of Things

Cited by 18 publications

References 26 publications

Access Control for Implantable Medical Devices

Access Control for Implantable Medical Devices

Cryptographically strong random number generation using integrated CMOS photodiodes for low-cost microcontroller based applications

Review of error correction for PUFs and evaluation on state-of-the-art FPGAs

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