Feasibility characterization of cryptographic primitives for constrained (wearable) IoT devices

Ometov, Aleksandr; Mašek, Pavel; Malina, Lukáš; Florea, Roman; Hošek, Jiří; Andreev, Sergey; Hajný, Jan; Niutanen, Jussi; Koucheryavy, Yevgeni

doi:10.1109/percomw.2016.7457161

Cited by 61 publications

(33 citation statements)

References 21 publications

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“…On the other hand, most of the compact digital signatures (e.g., elliptic curve (EC) based signatures) require costly operations such as EC scalar multiplication and addition during signature generation. It has been shown [5], [6], [7], and further demonstrated by our experiments that, these operations can be energy costly, and therefore, can negatively impact the battery life of highly resource-limited embedded devices. For instance, as one of the many potential applications, we can refer to a resource-limited sensor (e.g., a medical device [1]) that frequently generates and signs sensitive data (medical readings), which are verified by a resourceful cloud service provider.…”

Section: Introductionmentioning

confidence: 71%

Energy-Aware Digital Signatures for Embedded Medical Devices

Ozmen

Yavuz

Behnia

2019

2019 IEEE Conference on Communications and Network Security (CNS)

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Authentication is vital for the Internet of Things (IoT) applications involving sensitive data (e.g., medical and financial systems). Digital signatures offer scalable authentication with non-repudiation and public verifiability, which are necessary for auditing and dispute resolution in such IoT applications. However, digital signatures have been shown to be highly costly for low-end IoT devices, especially when embedded devices (e.g., medical implants) must operate without a battery replacement for a long time.We propose an Energy-aware Signature for Embedded Medical devices (ESEM) that achieves near-optimal signer efficiency. ESEM signature generation does not require any costly operations (e.g., elliptic curve (EC) scalar multiplication/addition), but only a small constant-number of pseudo-random function calls, additions, and a single modular multiplication. ESEM has the smallest signature size among its EC-based counterparts with an identical private key size. We achieve this by eliminating the use of the ephemeral public key (i.e, commitment) in Schnorrtype signatures from the signing via a distributed construction at the verifier without interaction with the signer while permitting a constant-size public key. We proved that ESEM is secure (in random oracle model), and fully implemented it on an 8-bit AVR microcontroller that is commonly used in medical devices. Our experiments showed that ESEM achieves 8.4× higher energy efficiency over its closest counterpart while offering a smaller signature and code size. Hence, ESEM can be suitable for deployment on resource limited embedded devices in IoT. We open-sourced our software for public testing and wide-adoption.

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Section: Introductionmentioning

confidence: 71%

Energy-Aware Digital Signatures for Embedded Medical Devices

Ozmen

Yavuz

Behnia

2019

2019 IEEE Conference on Communications and Network Security (CNS)

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“…Following the fact that the computation performance of this equipment is steadily improving [89] (see Table 3 comparing the hardware parameters of selected devices), the contemporary embedded devices are becoming capable of performing heavy computation tasks similar to the laptop computers. See Figure 10 for details, where selected embedded devices are demonstrated.…”

Section: Resultsmentioning

confidence: 99%

A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

Mašek

Masek

Frantík

et al. 2016

Sensors

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The unprecedented growth of today’s cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low-power, embedded devices integrate as part of a next-generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.

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“…If a sensor (e.g., a fingerprint reader) is being utilized and that device is not available from where the user is attempting to log in or gain access-the user experience becomes inadequate. Having a dual-purpose device-smartphone or smartwatch (suitable for executing the information security primitives [205]), which the user already has in his or her possession-as an additional MFA factor (not only as a token) makes both the system costs and usability much more reasonable [206].…”

Section: Enabling Flexible Mfa Operationmentioning

confidence: 99%

Multi-Factor Authentication: A Survey

et al. 2018

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Today, digitalization decisively penetrates all the sides of the modern society. One of the key enablers to maintain this process secure is authentication. It covers many different areas of a hyper-connected world, including online payments, communications, access right management, etc. This work sheds light on the evolution of authentication systems towards Multi-Factor Authentication (MFA) starting from Single-Factor Authentication (SFA) and through Two-Factor Authentication (2FA). Particularly, MFA is expected to be utilized for human-to-everything interactions by enabling fast, user-friendly, and reliable authentication when accessing a service. This paper surveys the already available and emerging sensors (factor providers) that allow for authenticating a user with the system directly or by involving the cloud. The corresponding challenges from the user as well as the service provider perspective are also reviewed. The MFA system based on reversed Lagrange polynomial within Shamir's Secret Sharing (SSS) scheme is further proposed to enable more flexible authentication. This solution covers the cases of authenticating the user even if some of the factors are mismatched or absent. Our framework allows for qualifying the missing factors by authenticating the user without disclosing sensitive biometric data to the verification entity. Finally, a vision of the future trends in MFA is discussed.

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Feasibility characterization of cryptographic primitives for constrained (wearable) IoT devices

Cited by 61 publications

References 21 publications

Energy-Aware Digital Signatures for Embedded Medical Devices

Energy-Aware Digital Signatures for Embedded Medical Devices

A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT-Driven Environment for Road Traffic Modeling

Multi-Factor Authentication: A Survey

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