A Lightweight Signcryption Method for Perception Layer in Internet-of-Things

Kumar, Ashish; Saha, Rahul; Alazab, Mamoun; Kumar, Gulshan

doi:10.1016/j.jisa.2020.102662

Cited by 15 publications

(13 citation statements)

References 19 publications

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“…However, the continuous development of the embedded devices and tiny sensors urge the development of ultra-light versions of the protocols. This motivates us for the present research to extend the lightweight property of our previously developed LiSP [13]. The main contributions of this paper are:…”

Section: B Contributionmentioning

confidence: 97%

“…1) We address the resource constraints of the IoT applicability by the design of an extended light-weight authentication. 2) We extend our previous work of LiSP [13] and modify the hash with Keccak. This is customized to the modules as per the suitability of the operational environment.…”

Section: B Contributionmentioning

confidence: 99%

“…The standard architecture of IoT can be configured as three-layer architecture, but, depending on specific requirements, the architecture can have five layers [11], [12]. The three-layer architecture consist of [13] (Figure 1):…”

Section: A Iot Architecturementioning

confidence: 99%

“…In our previous work [13], we developed a signcryption protocol using the PHOTON hash [68], and showed that the number of iterations and keysize is less as compared to other generic protocols. In [54], a signcryption-based protocol uses heterogenous environment with online and offline signcryption mode.…”

Section: B Light-weight Signcryptionmentioning

confidence: 99%

“…The reason for choosing signcryption for our present research is due to its simplicity of execution compared to sign-then-encryption process. We also consider our previous work [13] for our present extended version. In the paper, we customize LiSP with Keccak hash.…”

Section: B Light-weight Signcryptionmentioning

confidence: 99%

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LiSP-XK: Extended Light-Weight Signcryption for IoT in Resource-Constrained Environments

et al. 2021

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There is an increasing drive to provide improved levels of trust within an Internet-of-Things (IoTs) environments, but the devices and sensors used tend to be limited in their capabilities for dealing with traditional cryptography methods. Resource constraints and security are often the two major concerns of IIoT (Industrial IoT applications and big data generation at the present time. The strict security measures are often not significantly resource-managed and therefore, negotiation normally takes place between these. Following this, various light-weight versions of generic security primitives have been developed for IIoT and other resource-constrained sustainability. In this paper, we address the authentication concerns for resource-constrained environments by designing an efficient authentication protocol. Our authentication scheme is based on LiSP (light-weight Signcryption Protocol); however, some further customization has been performed on it to make it more suitable for IIoT-like resource-constrained environments. We use Keccack as the hash function in the process and Elli for light-weight public-key cryptography. We name our authentication scheme: Extended light-weight Signcryption Protocol with Keccack (LiSP-XK). The paper outlines a comparative analysis on our new design of authentication against a range of state-of-the-art schemes. We find the suitability of LiSP-XK for IIoT like environments due to its lesser complexity and less energy consumption. Moreover, the signcryption process is also beneficial in enhancing security. Overall the paper shows that LiSP-XK is overall 35% better in efficiency as compared to the other signcryption approaches.

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Section: B Contributionmentioning

confidence: 97%

Section: B Contributionmentioning

confidence: 99%

Section: A Iot Architecturementioning

confidence: 99%

Section: B Light-weight Signcryptionmentioning

confidence: 99%

Section: B Light-weight Signcryptionmentioning

confidence: 99%

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LiSP-XK: Extended Light-Weight Signcryption for IoT in Resource-Constrained Environments

et al. 2021

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Advanced security model for multimedia data sharing in Internet of Things

Dhar

Khare

Singh

2022

Trans Emerging Tel Tech

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Sharing a file that contains multimedia data among the different peers of wireless Internet of Things (IoT) networks has several challenges. One of the main challenges is their centralized system, which leads to high‐security risk and low user reachability. One solution could be to simply change the system to a decentralized network by using the blockchain network to store these files. However, it may solve the low user reachability and security problem at the cost of low latency, longer response time, scalability and privacy issues. Therefore, this article uses the advanced blockchain scheme and distributes InterPlanetary File System. We also presented the system framework and its working. Finally, we do the security analysis of our proposed system and found that it has strong potential to solve most of the security challenges that traditional system faces. Moreover, our proposed approach can be applied to any file‐changing wireless IoT network that needs to exchange multimedia data such as healthcare data, IoT data in wearable devices, traffic data in smart cities, etc.

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Intelligent federated learning on lattice‐based efficient heterogeneous signcryption

et al. 2022

Int J of Intelligent Sys

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Signcryption technology combines signature and encryption operations in a single step to achieve message authentication and confidentiality. The ordinary signcryption technology cannot realize communication between two different cryptographic systems. Therefore, to implement efficient communication between different cryptosystems and resist quantum attacks, this paper proposes a lattice-based efficient heterogeneous signcryption scheme. The heterogeneous signcryption scheme is proved to be secure assuming the hardness of small integer solution and learning with errors problems. Then this paper applies the latticebased efficient heterogeneous signcryption scheme to the federated learning system to achieve the transmission of confidential information, and designs an intelligent federated learning system on lattice-based efficient heterogeneous signcryption. This system realizes federated learning and the quantum security of data transmission while preserving private data.

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A Lightweight Signcryption Method for Perception Layer in Internet-of-Things

Cited by 15 publications

References 19 publications

LiSP-XK: Extended Light-Weight Signcryption for IoT in Resource-Constrained Environments

LiSP-XK: Extended Light-Weight Signcryption for IoT in Resource-Constrained Environments

Advanced security model for multimedia data sharing in Internet of Things

Intelligent federated learning on lattice‐based efficient heterogeneous signcryption

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