ECGSC: Elliptic Curve Based Generalized Signcryption

Han, Yiliang; Yang, Xiaoyuan; Wei, Ping; Wang, Yuming; Hu, Yupu

doi:10.1007/11833529_97

Cited by 36 publications

(30 citation statements)

References 15 publications

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“…Signcryption schemes based on elliptic curves, such as [11,12], are a possible concrete application for the GPU-MonExp algorithm.…”

Section: Discussionmentioning

confidence: 99%

GPU-Accelerated Montgomery Exponentiation

Fleissner

2007

Computational Science – ICCS 2007

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Abstract. The computing power and programmability of graphics processing units (GPUs) has been successfully exploited for calculations unrelated to graphics, such as data processing, numerical algorithms, and secret key cryptography. In this paper, a new variant of the Montgomery exponentiation algorithm that exploits the processing power and parallelism of GPUs is designed and implemented. Furthermore, performance tests are conducted and the suitability of the proposed algorithm for accelerating public key encryption is discussed.

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“…Signcryption schemes based on elliptic curves, such as [11,12], are a possible concrete application for the GPU-MonExp algorithm.…”

Section: Discussionmentioning

confidence: 99%

GPU-Accelerated Montgomery Exponentiation

Fleissner

2007

Computational Science – ICCS 2007

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“…ECC-based signcryption schemes have also been proposed in several papers like [17] and [25], which are both based on ECDSA. In [21], we have proposed a new signcryption scheme based on ECKCDSA, and we have formally proven the security of this scheme in the random oracle model, thus providing outsider/insider confidentiality and unforgeability, in addition to non-repudiation, while being more efficient in terms of communication and computation costs than existing signcryption schemes.…”

Section: Related Workmentioning

confidence: 99%

Novel Lightweight Signcryption-Based Key Distribution Mechanisms for MIKEY

Nguyen

Oualha

Laurent

2016

Information Security Theory and Practice

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To cite this version:Kim Thuat Nguyen, Nouha Ouahla, Maryline Laurent. Novel lightweight signcryption-based key distribution mechanisms for MIKEY. Sara Foresti; Javier Lopez. Abstract. MIKEY is a standard key management protocol, used to set up common secrets between multiple parties for multiple scenarios of communications. As MIKEY becomes widely deployed, it becomes worthwhile to not confine its applications to real-time or other specific applications, but also to extend the standard to other scenarios as well. For instance, MIKEY can be used to secure key establishment in the Internet of Things. In this particular context, Elliptic Curve Cryptographybased (ECC) algorithms seem to be good candidate to be employed by MIKEY, since they can support equivalent security level when compared with other recommended cryptographic algorithms like RSA, and at the same time requiring smaller key sizes and offering better performance. In this work, we propose novel lightweight ECC-based key distribution extensions for MIKEY that are built upon a previously proposed certificateless signcryption scheme. To our knowledge, these extensions are the first ECC-based MIKEY extensions that employ signcryption schemes. Our proposed extensions benefit from the lightness of the signcryption scheme, while being discharged from the burden of the public key infrastructure (PKI) thanks to its certificateless feature. To demonstrate their performance, we implemented our proposed extensions in the Openmote sensor platform and conducted a thorough performance assessment by measuring the energy consumption and execution time of each operation in the key establishment procedure. The experimental results prove that our new MIKEY extensions are perfectly suited for resource-constrained devices.

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“…This scheme has generalized that provides the dual functions with more practicability and flexibility, when simultaneously requires authenticity and confidentiality. Also, it is endowed with solitary signature or encryption function when authenticity/confidentiality requires without any additional computation and amendments [36].…”

Section: Phase 1: Setup Phasementioning

confidence: 99%