A secure lightweight signature based authentication for Cloud‐IoT crowdsensing environments

Kumar, Manoj; Verma, Harsh Kumar; Sikka, Geeta

doi:10.1002/ett.3292

Cited by 16 publications

(13 citation statements)

References 40 publications

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“…In implementing various applications of the IoT, security 9 and efficiency 10,11 are mostly concerned. To widely collect sensory data and construct efficient MCS applications, multidimensional sensory data are often aggregated in the cloud platform.…”

Section: Introductionmentioning

confidence: 99%

A verifiable and privacy‐preserving multidimensional data aggregation scheme in mobile crowdsensing

Jiang

Zhao

Tang

et al. 2020

Trans Emerging Tel Tech

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Mobile crowdsensing has become a popular data collection paradigm and has been extensively studied. Since the analysis of sensory data usually reveals privacy of mobile users, data aggregation technology is widely used to avoid privacy disclosure. However, traditional privacy‐preserving data aggregation schemes cannot provide aggregate statistics of multidimensional data in fine‐grained areas or resist collusive attacks. Moreover, the cloud platform is not fully trusted, and it is challenging to verify the correctness of data aggregation results. To provide privacy‐preserving multidimensional statistics within fine‐grained areas and verify results of data aggregation, we propose a verifiable privacy‐preserving data aggregation scheme in this article, which is based on data double‐masking, Shamir's secret sharing, and bilinear mapping. Specifically, a key agreement is utilized to establish mask seeds for users, while the users are required to extend mask values and generate the verification key with bilinear mapping. The cloud platform aggregates masked data and provides proof of computational results. Theoretical analysis demonstrates our scheme can protect data and location privacy, verify the aggregation results, and improve the rubustness to failure. The simulation results show that the computational overhead of mobile devices by using the proposed anticollusion scheme is better than that of homomorphic encryption. In addition, the computational complexity of task requesters is less than that of the PVPA scheme for verification of multidimensional aggregation results.

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Section: Introductionmentioning

confidence: 99%

A verifiable and privacy‐preserving multidimensional data aggregation scheme in mobile crowdsensing

Jiang

Zhao

Tang

et al. 2020

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…With the promotion of Internet technology and the popularization of smart devices, the Internet of Thing (IoT) 1 has been developed prosperously. The IoT connects various information sensing devices and the Internet to form a unified network system that connects many smart devices, and some smart systems based on IoT (eg, smart cities, smart medical systems) 2 have greatly improved different aspects of human life.…”

Section: Introductionmentioning

confidence: 99%

Repot: Real‐time and privacy‐preserving online task assignment for mobile crowdsensing

Xia

Zhao

Tang

et al. 2020

Trans Emerging Tel Tech

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Recently, the development of Internet of Things and mobile sensor technology has facilitated mobile crowdsensing (MCS) as a popular data collection paradigm. In MCS, requesters publish tasks to the sensing platform, and then the sensing platform assigns tasks to workers who carry mobile sensing devices. In general, the sensing platform matches tasks and workers according to the location and time attributes of tasks and workers. However, most current studies rarely consider location and time attributes, simultaneously. In previous work, it is difficult to achieve real‐time task assignment while protecting worker's location privacy. To tackle the above problem, in this article, we propose a real‐time and privacy‐preserving online task assignment scheme, named Repot. In Repot, the location privacy of workers is protected by using geoindistinguishability. And we design a probabilistic method to quantify the reachability between the obfuscated worker and the task. In addition, the worker‐based distance comparison mechanism and the task‐based distance comparison mechanism are designed to reduce the overall distance of workers in Repot, respectively. The experimental evaluation is performed on a real‐world data set and the results show the feasibility and effectiveness of Repot.

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“…The authenticity of IoT is ensured through digital signature [5], and data security is met by using the encryption method [6], although the IoT has a resource hungry nature and cannot afford these two…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient and Formally Secured Certificate-Based Signcryption for Wireless Body Area Networks with the Internet of Things

et al. 2019

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Recently, the spectacular innovations in the fields of wireless body area networks (WBAN) and the Internet of Things (IoT) have made e-Care services rise as a promising application domain, which significantly advances the quality of the medical system, however, due to the openness of the wireless environment and privacy of people's physiological data, WBAN and IoT are prone to various cyber-a acks. There is a significant need for an efficient and highly secured cryptographic scheme that can meet the requirements of resource-constrained devices. Therefore, in this paper, we propose a certificate-based signcryption (CB-SN) scheme for the IoT-enabled WBAN. The proposed scheme is based on the concept of hyper-elliptic curve cryptography (HECC) that offers the same level of security as the elliptic curve and bilinear pairing with lower-key size. The formal security verification using the Automated Validation of the Internet Security Protocols and Applications (AVISPA) tool along with informal security analysis demonstrate that the proposed scheme is not just reducing the complexity of resource-constrained IoT devices, but proves to be secure against several well-known cryptographic a acks. Moreover, performance comparison with relevant existing schemes authenticates that the proposed scheme is far more secure and energy efficient. different algorithms separately, i.e., signature and then encryption at the same time. In 1997, Zheng was the pioneer to merge these two processes in one algorithm, called signcryption [7]. This scheme is based on the concept of old public key cryptography (PKC), which is suffering from certificate overheads, renewing, and revocation problems [8]. Shamir was the first to propose an alternate concept of PKC, called identity-based cryptography (IBC) [9]. This technique removed the limitations of PKC and used the identity in place of a certificate. Later, in 2002, Malone-Lee [10], for the first time merged the concept of IBC with the signcryption technique, namely, identity-based signcryption (IBS). The IBS includes three entities, for example, a sender (signcrypter), a receiver (unsigncrypter), and the private key generation center (PKGC), respectively. In this setup, the users (signcrypter and unsigncrypter) generate their identities and after that, send it to the PKGC. Then, the PKGC produces and delivers the private keys for all the participating users, by using the secured networks. Unfortunately, IBS suffers from the key escrow issue (KEI), because the private key is generated by the PKGC and one can easily use this key for forging the digital signature and decrypting the ciphertext [11].To eliminate the above problem in IBS, in 2008, Barbosa and Farshim [12], put forward the concept of a certificateless signcryption (CL-SC) scheme. The CL-SC mechanism almost works the same as IBS, but the main difference is that the private key is generated by the users themselves. The central authority known as a key generation center (KGC) only provides the partial private key to the users by using an ...

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A secure lightweight signature based authentication for Cloud‐IoT crowdsensing environments

Cited by 16 publications

References 40 publications

A verifiable and privacy‐preserving multidimensional data aggregation scheme in mobile crowdsensing

A verifiable and privacy‐preserving multidimensional data aggregation scheme in mobile crowdsensing

Repot: Real‐time and privacy‐preserving online task assignment for mobile crowdsensing

An Energy Efficient and Formally Secured Certificate-Based Signcryption for Wireless Body Area Networks with the Internet of Things

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