Signal conditioning techniques for health monitoring devices

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

2019

Efficient authentication is vital for IoT applications with stringent minimum-delay requirements (e.g., energy delivery systems). This requirement becomes even more crucial when the IoT devices are battery-powered, like small aerial drones, and the efficiency of authentication directly translates to more operation time. Although some fast authentication techniques have been proposed, some of them might not fully meet the needs of the emerging delay-aware IoT.In this paper, we propose a new signature scheme called ARIS that pushes the limits of the existing digital signatures, wherein a commodity hardware can verify 83,333 signatures per second. ARIS also enables the fastest signature generation along with the lowest energy consumption and end-to-end delay among its counterparts. These significant computational advantages come with a larger storage requirement, which is a favorable trade-off for some critical delay-aware applications. These desirable features are achieved by harnessing message encoding with cover-free families and a special elliptic curve based oneway function. We prove the security of ARIS under the hardness of the elliptic curve discrete logarithm problem in the random oracle model. We provide an open-sourced implementation of ARIS on commodity hardware and 8-bit AVR microcontroller for public testing and verification.

Section: ) Experimental Resultsmentioning

confidence: 99%

ARIS: Authentication for Real-Time IoT Systems

Behnia

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

2019

“…Hardware Configurations and Software Libraries: We used 8-bit AVR ATmega 2560 microprocessor to measure the signer efficiency of our scheme compared to its counterparts. We selected this low-end device due to its low energy consumption and extensive use in practice, especially in IoT applications and medical devices [43], [58], [59]. It is equipped with 256 KB flash memory, 8 KB SRAM, 4 KB EEPROM, and its maximum clock frequency is 16 MHz.…”

Section: Performance/energy Evaluation On 8-bit Microprocessormentioning

confidence: 99%

Ultra Lightweight Multiple-Time Digital Signature for the Internet of Things Devices

IEEE Trans. Serv. Comput.

2022

Digital signatures are basic cryptographic tools to provide authentication and integrity in the emerging ubiquitous systems in which resource-constrained devices are expected to operate securely and efficiently. However, existing digital signatures might not be fully practical for such resource-constrained devices (e.g., medical implants) that have energy limitations. Some other computationally efficient alternatives (e.g., one-time/multipletime signatures) may introduce high memory and/or communication overhead due to large private key and signature sizes.In this paper, our contributions are two-fold: First, we develop a new lightweight multiple-time digital signature scheme called Signer Efficient Multiple-time Elliptic Curve Signature (SEMECS), which is suitable for resource-constrained embedded devices. SEMECS achieves optimal signature and private key sizes for an EC-based signature without requiring any EC operation (e.g., EC scalar multiplication or addition) at the signer. We prove SEMECS is secure (in random oracle model) with a tight security reduction. Second, we fully implemented SEMECS on 8-bit AVR microprocessor with a comprehensive energy consumption analysis and comparison. Our experiments confirm up to 19× less battery-consumption for SEMECS as compared to its fastest (full-time) counterpart, SchnorrQ, while offering significant performance advantages over its multipletime counterparts in various fronts. We open-source our implementation for public testing and adoption.

“…We conservatively benchmark this network delay and include in our signature verification time, with an Amazon EC2 server in North Virginia. Hardware Configurations and Software Libraries: We selected AVR ATmega 2560 microcontroller as our low-end device due to its low power consumption and extensive use in practice, especially for medical devices [1], [2], [20]. It is an 8bit microcontroller with 256 KB flash memory, 8 KB SRAM, 4 KB EEPROM and maximum clock speed is 16 MHz.…”

Section: B Evaluation Metrics and Experimental Setupmentioning

confidence: 99%

Energy-Aware Digital Signatures for Embedded Medical Devices

2019 IEEE Conference on Communications and Network Security (CNS)

Behnia

2019

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.