Scalable and Efficient Hardware Architectures for Authenticated Encryption in IoT Applications

Khan, Safiullah; Lee, Wai-Kong; Hwang, Seong Oun

doi:10.1109/jiot.2021.3052184

Cited by 27 publications

(5 citation statements)

References 28 publications

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“…The Ascon AEAD scheme can mitigate such vulnerabilities by improving throughput and security with a field-programmable gate array platform, which provides higher speed, lower cost, faster development time, flexibility and configurability [82]. This improvement prevents attacks and secure the hardware from attacks [83].…”

Section: Cryptographic Protocols To Secure Medical Devicesmentioning

confidence: 99%

Security Threats and Cryptographic Protocols for Medical Wearables

et al. 2022

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In the past few years, the use of several medical devices is increasing. This paper will pay attention to a device developed to get measures of the temperature of diabetic foot. These wearables usually do not have cryptographic protocols to guarantee data security. This study analyzes the existing security in these devices, and simulate malware propagation taking into account the vulnerabilities and lack of security in these highly-constrained interconnected devices. A simulation of malware spreading in a network made by 10 and 15 individuals with 6 and 34 sensors each one, respectively, is included in this study. To avoid such attacks, a lightweight cryptographic protocol could be a satisfactory solution. Considering the quick development of quantum computers, several current cryptographic protocols have been compromised.

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Section: Cryptographic Protocols To Secure Medical Devicesmentioning

confidence: 99%

Security Threats and Cryptographic Protocols for Medical Wearables

et al. 2022

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“…Ascon is an AE scheme based on permutations. Khan et al [22] discussed hardware implementation of Ascon employing different strategies (unrolled, round-based, and serialized). Implementing one permutation round in one clock cycle requires 2.06k LUTs in a Spartan-6 device.…”

Section: Related Workmentioning

confidence: 99%

“…Two Ascon implementations are discussed here. The first implementation [22] consumes 17% more area and generates 30% less TP and 40% less TP/A, compared to Gimli. Since these implementations are similar (both are based on one round per clock cycle), Gimli outperforms because of its inherent structure.…”

Section: Comparisonmentioning

confidence: 99%

A Flexible Gimli Hardware Implementation in FPGA and Its Application to RFID Authentication Protocols

2021

Self Cite

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Radio Frequency Identification (RFID) systems have bestowed numerous conveniences in a multitude of applications, but the underlying wireless communications architecture makes it vulnerable to several security threats. To mitigate these issues, various authentication protocols have been proposed. The literature accommodates comprehensive proposals and analysis of authentication protocols, but not many of them provide hardware implementations. In addition, there is diverse demand for hardware area and throughput (TP) requirements from RFID system components (tags, readers, database servers), which demand a flexible implementation strategy. This paper proposes a flexible implementation strategy for the lightweight authenticated encryption (AE) and hash function called Gimli, and applies it to a state-of-theart authentication protocol. This allows the authentication protocol to be implemented efficiently, wherein the area and TP can be adjusted flexibly according to the RFID system requirements. This implementation strategy is generic; it can be used to implement any other AE and hash functions. This strategy can also be applied to other authentication protocols that heavily use AE and hash functions. To provide a detailed analysis, the hardware are optimization techniques in each component of the RFID system for a state-ofthe-art authentication protocol are analyzed. When implemented with the most area-optimized versions, we achieve TP of 740 Mbps and 420 Mbps for Gimli hash and Gimli AE, respectively, and for throughputoriented implementation, the results are 3.08 Gbps and 1.43 Gbps, respectively. This shows that the proposed implementation strategies allow us to implement authentication protocols in a flexible manner to meet the differing requirements in TP and area for RFID applications.

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“…Two of these approaches are the multiplier and the adder, and they are used in the process of putting modular multiplication into action (MM). Using the Montgomery multiplication technique is another example of multiplierbased architecture [8]. Another example is designing for a certain prime field.…”

Section: Introductionmentioning

confidence: 99%

SLDEB: Design of a Secure and Lightweight Dynamic Encryption Bio-Inspired Model for IoT Networks

Kataria¹,

Jethva²,

Shinde³

et al. 2023

IJSSE

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Designing encryption models for IoT deployments requires analysis of multiple network level constraints. These include, estimation of energy requirements, security strength, encryption & decryption delay, computational complexity, etc. A wide variety of models are proposed to perform these tasks, but most of them are either highly complex, or require higher energy levels for encrypting data samples. Moreover, these models are contextindependent, and cannot be used for application-specific deployments. To overcome these issues, this text proposes design of a novel secure and lightweight dynamic encryption bioinspired model for IoT networks. The proposed model initially uses an Elliptic Curve Cryptography (ECC) process for data security, and optimizes its performance via Bacterial Foraging Optimization (BFO). ECC parameters that are obtained via BFO are further fine-tuned using a Q-Learning based process, which assists in identification of context-specific parametric ranges for different network types. The combination of BFO with Q-Learning results in dynamic ECC curves, which can be used for context-specific deployments. Performance of the model was evaluated on different scaled networks, and compared with other state-of-the-art encryption models in terms of encryption delay, decryption delay, security level under different attacks, and energy consumption levels. Based on this comparison, it was observed that the proposed model showcased 8.5% lower encryption delay, 3.2% lower decryption delay, and 5.9% lower energy consumption while maintaining similar security levels. Due to these enhancements, the proposed model is useful for a wide variety of low complexity IoT deployments.

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Scalable and Efficient Hardware Architectures for Authenticated Encryption in IoT Applications

Cited by 27 publications

References 28 publications

Security Threats and Cryptographic Protocols for Medical Wearables

Security Threats and Cryptographic Protocols for Medical Wearables

A Flexible Gimli Hardware Implementation in FPGA and Its Application to RFID Authentication Protocols

SLDEB: Design of a Secure and Lightweight Dynamic Encryption Bio-Inspired Model for IoT Networks

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