A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing

Feng, Wei; Yan, Zheng; Zhang, Hengrun; Zeng, Kai; Xiao, Yu; Hou, Y. Thomas

doi:10.1109/jiot.2017.2765699

Cited by 118 publications

(55 citation statements)

References 122 publications

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“…Nevertheless, with today's computer specifications, where even the most constrained devices can process data much faster than humans, the memorability characteristic is not a priority in environments such as Fog computing or F2C. In fact, since such characteristic may represent a security issue -such as the identity forging thread addressed in [15] [16]-, it is not recommended. In this section we have compiled a list of requirements that according to [13], [17] and [18] an IDMS like the one presented in section V should meet for a successful and effective management of identities in F2C systems.…”

Section: Idms Requirements In F2c Systemsmentioning

confidence: 99%

Resource identification in fog-to-cloud systems: toward an identity management strategy

Gómez-Cárdenas

Masip-Bruin

Marín‐Tordera

et al. 2019

J Reliable Intell Environ

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Fog-to-Cloud (F2C) is a novel paradigm aiming at extending the cloud computing capabilities to the edge of the network through the hierarchical and coordinated management of both, centralized cloud datacenters and distributed fog resources. It will allow all kind of devices that are capable to connect to the F2C network to share its idle resources and access both, service provider and third parties resources to expand its own capabilities. However, despite the numerous advantages offered by the F2C model, such as the possibility of offloading delay-sensitive tasks to a nearby device and using the cloud infrastructure in the execution of resource-intensive tasks, the list of open challenges that need to be addressed in order to have a deployable F2C system is pretty long. In this paper we focus on the resource identification challenge, proposing an identity management system (IDMS) solution that starts assigning identifiers (IDs) to the devices in the F2C network in a decentralized fashion using hashes and afterwards, manages the usage of those IDs applying a fragmentation technique. The obtained results during the validation phase show that our proposal not only meets the desired IDMS characteristics, but also that the fragmentation strategy is aligned with the constrained nature of the devices in the lowest tier of the network hierarchy.

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Section: Idms Requirements In F2c Systemsmentioning

confidence: 99%

Resource identification in fog-to-cloud systems: toward an identity management strategy

Gómez-Cárdenas

Masip-Bruin

Marín‐Tordera

et al. 2019

J Reliable Intell Environ

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“…To be specific, crowdsourcing that exploits the collective intelligence of the human crowd holds many advantages such as scalability, mobility, and cost-efficiency and can effectively enhance the intelligence of the services, and improve the interactions between the human and the environment [24]. The advantages of crowdsourcing enable a crowdsourcing solution to support a great number of applications in the social IoT, ranging from social trend understanding and positioning services [22,47] to smart home, smart city, and smart traffic [25].…”

Section: Introductionmentioning

confidence: 99%

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Riemannian Optimization

Dong

Yang

Shi

2020

ACM Trans. Knowl. Discov. Data

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Social Internet of Things has recently become a promising paradigm for augmenting the capability of humans and devices connected in the networks to provide services. In social Internet of Things network, crowdsourcing that collects the intelligence of the human crowd has served as a powerful tool for data acquisition and distributed computing. To support critical applications (e.g., a recommendation system and assessing the inequality of urban perception), in this article, we shall focus on the collaborative ranking problems for user preference prediction from crowdsourced pairwise comparisons. Based on the Bradley-Terry-Luce (BTL) model, a maximum likelihood estimation (MLE) is proposed via low-rank approach in order to estimate the underlying weight/score matrix, thereby predicting the ranking list for each user. A novel regularized formulation with the smoothed surrogate of elementwise infinity norm is proposed in order to address the unique challenge of the coupled the non-smooth elementwise infinity norm constraint and non-convex low-rank constraint in the MLE problem. We solve the resulting smoothed rank-constrained optimization problem via developing the Riemannian trust-region algorithm on quotient manifolds of fixed-rank matrices, which enjoys the superlinear convergence rate. The admirable performance and algorithmic advantages of the proposed method over the state-of-the-art algorithms are demonstrated via numerical results. Moreover, the proposed method outperforms state-of-the-art algorithms on large collaborative filtering datasets in both success rate of inferring preference and normalized discounted cumulative gain.

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“…Hence, the various limitation of WSN requires different security challenges to tackle such constraint problems. Big efforts are applied by many researchers to overcome the security issues in WSN and other constraints of WSN [7][8]. Also, many security protocols are suggested by the researchers and practicioner such as cryptography, secure routing, and keymanagement scheme and etc [9][10].…”

Section: Introductionmentioning

confidence: 99%

Tactical approach to identify and quarantine spurious node participation request in sensory application

Parande¹,

Mallapur²

2020

IJECE

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Securing Wireless Sensor Network (WSN) from variable forms of adversary is still an open end challenge. Review of diversified security apprroaches towards such problems that they are highly symptomatic with respect to resiliency strength against attack. Therefore, the proposed system highlights a novel and effective solution that is capable of identify the spurios request for participating in teh network building process from attacker and in return could deviate the route of attacker to some virtual nodes and links. A simple trust based mechanism is constructed for validating the legitimacy of such request generated from adversary node. The proposed system not only presents a security solution but also assists in enhancing the routing process significantly. The simulated outcome of the study shows that proposed system offers significantly good energy conservation, satisfactory data forwarding performance, reduced processing time in contrast to existing standard security practices.

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A Survey on Security, Privacy, and Trust in Mobile Crowdsourcing

Cited by 118 publications

References 122 publications

Resource identification in fog-to-cloud systems: toward an identity management strategy

Resource identification in fog-to-cloud systems: toward an identity management strategy

Ranking from Crowdsourced Pairwise Comparisons via Smoothed Riemannian Optimization

Tactical approach to identify and quarantine spurious node participation request in sensory application

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