Efficient data handover and intelligent information assessment in software‐defined vehicular social networks

Sohail, Muhammad; Wang, Liangmin; Ali, Rashid; Rahim, Sajjad; Yao, Jiaying

doi:10.1049/iet-its.2019.0323

Cited by 9 publications

(4 citation statements)

References 31 publications

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“…The PPP model is the experience summed up in actual work, so each country and industry has a different focus on the understanding of the PPP model [ 23 ]. PPP project participants are diversified, project income is diversified, the project has a concession period, and both parties to the project share risks.…”

Section: Intelligent Performance Evaluation Methods Of Urban Subway P...mentioning

confidence: 99%

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

Fan

Jiang

Chen

et al. 2022

Computational Intelligence and Neuroscience

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Neural network refers to an algorithmic mathematical model that imitates the behavioral characteristics of animal neural networks and performs distributed information processing. This kind of network depends on the complexity of the system and needs to adjust the internal node relationship, so as to achieve the purpose of processing information. With the continuous development of the economy, the transportation problem needs to be solved urgently, and the urban subway has emerged at the historic moment. The subway is a fast, large-capacity, electric-driven rail transit built in the city. The advantages of the subway provide conditions for the mitigation of urban traffic, due to the large number of cars, traffic jams, frequent accidents, and serious environmental pollution. In the city center, there are more cars and less space, and the parking lot is not commensurate with the number of cars, making parking difficult. This paper aims to study the intelligent performance evaluation of urban subway PPP projects based on deep neural network models. The subway project has a large investment, a long period, and a wide range, but the development time of the subway in China is relatively short. In order to promote the stable progress of subway projects, it is very necessary to conduct intelligent performance evaluation on subway projects. This paper compares and analyzes the basic characteristics of the PPP model and verifies the applicability and necessity of the PPP model in urban subway transportation projects. Through the investigation of relevant literature, this article puts forward the research content of the social impact assessment of subway projects. The experimental results of this paper show that, from the perspective of whether it is necessary to evaluate the performance of PPP projects, 65% of people think it is very necessary, and 22% think it is more necessary. 3% of people think it is unnecessary, and 10% of people hold an indifferent attitude. These data show that the intelligent performance evaluation of urban subway PPP projects has exploratory significance for urban infrastructure design and construction.

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Section: Intelligent Performance Evaluation Methods Of Urban Subway P...mentioning

confidence: 99%

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

Fan

Jiang

Chen

et al. 2022

Computational Intelligence and Neuroscience

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“…In addition, many future promising applications in ITS can be supported by a hybrid structure as described in [ 8 , 9 ]. This hybrid structure contains trusted authorities (TA), RSUs, and vehicles on the road.…”

Section: Introductionmentioning

confidence: 99%

“…If the false alarm and security attacks [4,7] remains undetected, then there is a chance of traffic jam or even worse false information dissemination . In addition, many future promising applications in ITS can be supported by a hybrid structure as described in [8,9]. This hybrid structure contains trusted authorities (TA), RSUs, and vehicles on the road.…”

Section: Introductionmentioning

confidence: 99%

TrustWalker: An Efficient Trust Assessment in Vehicular Internet of Things (VIoT) with Security Consideration

Sohail

Ali

Kashif

et al. 2020

Sensors

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The Internet of Things (IoT) is a world of connected networks and modern technology devices, among them vehicular networks considered more challenging due to high speed and network dynamics. Future trends in IoT allow these inter networks to share information. Also, the previous security solutions to vehicular IoT (VIoT) much emphasize on privacy protection and security related issues using public keys infrastructure. However, the primary concern about efficient trust assessment, authorized users malfunctioning, and secure information dissemination in vehicular wireless networks have not been explored. To cope with these challenges, we propose a trust enhanced on-demand routing (TER) scheme, which adopts TrustWalker (TW) algorithm for efficient trust assessment and route search technique in VIoT. TER comprised of novel three-valued subjective logic (3VSL), TW algorithm, and ad hoc on-demand distance vector (AODV) routing protocol. The simulated results validate the accuracy of the proposed scheme in term of throughput, packet drop ratio (PDR), and end to end (E2E) delay. In the simulation, the execution time of the TW algorithm is analyzed and compared with another route search algorithm, i.e., Assess-Trust (AT), by considering real-world online datasets such as Pretty Good Privacy and Advogato. The accuracy and efficiency of the TW algorithm, even with a large number of vehicle users, are also demonstrated through simulations.

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“…Sohail et al [42] Trust-based technique Software-defined networks are used to benefit from social networks to hand over information from truster to trustee vehicles efficiently. In addition, a trust walker algorithm is used to apply three-valued logic operations.…”

mentioning

confidence: 99%

Trusted Computation Using ABM and PBM Decision Models for ITS

et al. 2020

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Conventional models in the intelligent transportation system (ITS) are confronted by large computational overheads and how they react during real-time scenarios. To appropriately manage the communication process in real-time, a trust-based mechanism can provide an efficient approach to acclimatize its deeds based on indecision sensory information. However, the computational models are not fully demoralized by the businesses owing to the lack of automated integration. In this study, we perform agent-based modeling (ABM) and population-based modeling (PBM) in the ITS mechanism during data transmission and record exchange for real-time communication. In addition, a trust evaluation process is performed to legitimize each device with the integration of ABM and PBM models. The simulation results show that the proposed mechanism is 89% more efficient than baseline methods in various networking scenarios, such as message alteration, distributed denial of service attacks, and information falsification threats.

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Efficient data handover and intelligent information assessment in software‐defined vehicular social networks

Cited by 9 publications

References 31 publications

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

Intelligent Performance Evaluation of Urban Subway PPP Project Based on Deep Neural Network Model

TrustWalker: An Efficient Trust Assessment in Vehicular Internet of Things (VIoT) with Security Consideration

Trusted Computation Using ABM and PBM Decision Models for ITS

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