Utility Based Data Computing Scheme to Provide Sensing Service in Internet of Things

Hui, Yilong; Su, Zhou; Guo, Song

doi:10.1109/tetc.2017.2674023

Cited by 77 publications

(23 citation statements)

References 40 publications

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“…By referring to (14), group objects would lose packet in case of ∈ (0, pn ) for link BS → GO and the probability of loss packet can be depicted as…”

Section: Analysis Of Intercept Probability For Evementioning

confidence: 99%

“…In IoT [14] applications where the message must get through multiple devices/nodes or a major equipment shutdown is required (e.g., for urgent reasons), the sending node must be able to confirm that its message was received by all the members of the multicast group while assuring security from eavesdroppers. In the IoT, the major challenge compared with traditional multicast system is that it not only supports end-user devices, but also involves large-scale machinetype communications (MTC) and other low-power devices [12].…”

Section: Introductionmentioning

confidence: 99%

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Security Enhancement for Multicast over Internet of Things by Dynamically Constructed Fountain Codes

et al. 2018

Wireless Communications and Mobile Computing

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The Internet of Things (IoT) is expected to accommodate every object which exists in this world or likely to exist in the near future. The enormous scale of the objects is challenged by big security concerns, especially for common information dissemination via multicast services, where the reliability assurance for multiple multicast users at the cost of increasing redundancy and/or retransmissions also benefits eavesdroppers in successfully decoding the overheard signals. The objective of this work is to address the security challenge present in IoT multicast applications. Specifically, with the presence of the eavesdropper, an adaptive fountain code design is proposed in this paper to enhance the security for multicast in IoT. The main novel features of the proposed scheme include two folds: (i) dynamical encoding scheme which can effectively decrease intercept probability at the eavesdropper; (ii) increasing the transmission efficiency compared with the conventional nondynamical design. The analysis and simulation results show that the proposed scheme can effectively enhance information security while achieving higher transmission efficiency with a little accredited complexity, thus facilitating the secured wireless multicast transmissions over IoT.

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“…By referring to (14), group objects would lose packet in case of ∈ (0, pn ) for link BS → GO and the probability of loss packet can be depicted as…”

Section: Analysis Of Intercept Probability For Evementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Security Enhancement for Multicast over Internet of Things by Dynamically Constructed Fountain Codes

et al. 2018

Wireless Communications and Mobile Computing

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“…In [13], a utility based data computing in IoT is proposed for cooperatively collect data with the optimal price to obtain the profits during data sensing. GSD is presented in [14], it can disseminate information with huge delivery ratio, lowest overhead, least hop count and latency. Service based data forwarding scheme proposed in [15] provides altruism to forward the packets and the contribution of the relay node .Node with higher altruism is the preferred candidate for packet relaying.…”

Section: Related Workmentioning

confidence: 99%

Improved Data Dissemination using Intelligent Stimulus Mechanisms in IoT Network

Radhika¹,

Kulothungan²

2018

Proceedings of the International Conference for Phoenixes on Emerging Current Trends in Engineering and Management (PECTEAM 201

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Internet of Things (IoT) is virtually connecting object in the physical world to the internet, where a huge number of embedded devices relays on communication service offered by the internet protocols and these devices are termed as smart objects. Since the smart devices have low configuration it has constrained communication. During the communication, the data has to be disseminated with reliability. The enormous amount of data generated by heterogeneous devices do not achieve higher delivery ratio. Hence, reliable sensor data collection and appropriately disseminating data to targeted IoT device is critical in IoT environment. In the existing work, selfish behavior of each devices and the packet delivery delay are not considered. By observing this, the core challenge to disseminate the data efficiently under a unique network setting with multiple interest's data types. Two data dissemination schemes, namely the rule based data pull scheme and rule based data push scheme are proposed in this paper. The data pull scheme in IoT devices pull, the data from the data provider device, and in data push scheme the data providers generate data and push them to the intended users. In pull scheme, an effective mechanism known as cooperative game using intelligent agents is implemented. In addition, data sharing plays a crucial role between the devices where cooperativeness has been ensured in this work by cooperative game using intelligent agents and Pareto optimality. In data pushing model, a checking process is done using rules to monitor the receiver with best credits that gets the disseminated data form server which is processed by rule based online auction algorithm when comparing the Cooperative Scheme for Data Dissemination (CSDD) with existing model, this proposed model shows better performance in terms of data delivery ratio and delay in delivering the data to the destination.

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“…The development of wireless communications and mobile devices triggers the emergence of mobile crowdsensing [2], in which user-centric mobile sensing and computing devices, e.g., smartphones, in-vehicle devices and wearable devices, are utilized to sense, collect and process data from the environment. This "Sensing as a Service" [3] elaborates our knowledge of the physical world by opening up a new door for data collection and sharing [4]. Due to the increasing popularity of mobile devices, mobile crowdsensing supports a broad range of sensing applications nowadays, ranging from social recommendation, such as restaurant recommendation, parking space discovery and indoor floor plan reconstrction [5], to environment monitoring, such as air quality measurement, noise level detection and dam water release warning.…”

Section: Introductionmentioning

confidence: 99%

Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing

Zhang

Xia

et al. 2020

IEEE Trans. on Mobile Comput.

145

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Mobile crowdsensing engages a crowd of individuals to use their mobile devices to cooperatively collect data about social events and phenomena for special interest customers. It can reduce the cost on sensor deployment and improve data quality with human intelligence. To enhance data trustworthiness, it is critical for service provider to recruit mobile users based on their personal features, e.g., mobility pattern and reputation, but it leads to the privacy leakage of mobile users. Therefore, how to resolve the contradiction between user privacy and task allocation is challenging in mobile crowdsensing. In this paper, we propose SPOON, a strong privacy-preserving mobile crowdsensing scheme supporting accurate task allocation from geographic information and credit points of mobile users. In SPOON, the service provider enables to recruit mobile users based on their locations, and select proper sensing reports according to their trust levels without invading user privacy. By utilizing proxy reencryption and BBS+ signature, sensing tasks are protected and reports are anonymized to prevent privacy leakage. In addition, a privacy-preserving credit management mechanism is introduced to achieve decentralized trust management and secure credit proof for mobile users. Finally, we show the security properties of SPOON and demonstrate its efficiency on computation and communication.

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Utility Based Data Computing Scheme to Provide Sensing Service in Internet of Things

Cited by 77 publications

References 40 publications

Security Enhancement for Multicast over Internet of Things by Dynamically Constructed Fountain Codes

Security Enhancement for Multicast over Internet of Things by Dynamically Constructed Fountain Codes

Improved Data Dissemination using Intelligent Stimulus Mechanisms in IoT Network

Enabling Strong Privacy Preservation and Accurate Task Allocation for Mobile Crowdsensing

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