VCMIA: A Novel Architecture for Integrating Vehicular Cyber-Physical Systems and Mobile Cloud Computing

Wan, Jiafu; Zhang, Daqiang; Sun, Yan; Lin, Kai; Zou, Caifeng; Cai, Hu

doi:10.1007/s11036-014-0499-6

Cited by 155 publications

(67 citation statements)

References 15 publications

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“…Wan et al [12] integrated the Vehicular Cyber-Physical System (VCPS) with Mobile Cloud Computing (MCC) and proposed the VCPS and MCC Integration Architecture (VCMIA) to support ITS and cloud services for fluent traffic. VCMIA provided a mobile service to the user to access a mobile traffic cloud.…”

Section: Previous Research On Vccmentioning

confidence: 99%

“…The information is protected through encryption, authentication, and access control. The system proposed in [12] protects location or map information, but the protection of other important information is limited. The framework proposed in [21] protects vehicle speed, location, and personal information based on GeoLock.…”

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

“…In addition, integrity is provided for important information such as Personal Information, Payment Information, etc., through the hash function. However, in the framework in [12], the information for which data integrity is provided is limited. Integrity is applied only to geographical or location information, and details for other information such as personal identification or payment is limited.…”

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

“…The number of authentication attempts is limited to block access attempts from external malicious users. In cases of the existing frameworks [12,17,18,21,22], studies on attacks against availability are undergoing.…”

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

“…In addition, VCC-SSF encrypts important data to prevent leakage. In [12], privacy protection is considered, but the protected data is limited to location or map information. In [17,21,22] data is encrypted for possible privacy protection, and [18] is still undergoing development with respect to privacy protection.…”

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

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VCC-SSF: Service-Oriented Security Framework for Vehicular Cloud Computing

et al. 2015

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Abstract:Recently, as vehicle computing technology has advanced, the paradigm of the vehicle has changed from a simple means of transportation to a smart vehicle for safety and convenience. In addition, the previous functions of the Intelligent Transportation System (ITS) such as traffic accident prevention and providing traffic volume information have been combined with cloud computing. ITS services provide user-oriented broad services in the Vehicular Cloud Computing (VCC) environment through efficient traffic management, traffic accident prevention, and convenience services. However, existing vehicle services focus on providing services using sensing information inside the vehicle and the system to provide the service through an interface with the external infrastructure is insufficient. In addition, because wireless networks are used in VCC environments, there is a risk of important information leakage from sensors inside the vehicle, such as driver personal identification and payment information at the time of goods purchase. We propose the VCC Service-oriented Security Framework (VCC-SSF) to address the limitations and security threats of VCC-based services. The proposed framework considers security for convenient and efficient services of VCC and includes new user-oriented payment management and active accident management services. Furthermore, it provides authentication, encryption, access control, OPEN ACCESSSustainability 2015, 7 2029 confidentiality, integrity, and privacy protection for user personal information and information inside the vehicle.

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Section: Previous Research On Vccmentioning

confidence: 99%

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

Section: Analysis Of Vcc-ssfmentioning

confidence: 99%

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VCC-SSF: Service-Oriented Security Framework for Vehicular Cloud Computing

et al. 2015

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Cooperative mobile edge computing‐cloud computing in Internet of vehicle: Architecture and energy‐efficient workload allocation

Zhang

Cao

2020

Trans Emerging Tel Tech

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With the increasing number of vehicles, the generating vehicular data exceeds the capacity of mobile edge computing (MEC). Therefore, studying the interaction and collaboration of edge computing and cloud computing is of significance to provide vehicular users with low‐latency high‐rate services. This paper first proposes a MEC‐cloud computing collaboration architecture for Internet of vehicles, then designs the interconnection/interaction framework between MEC and cloud computing. We consider reducing computation delay and power consumption, and formulate an energy‐efficient workload allocation problem with load balancing and dynamic voltage frequency scaling technology, to obtain the optimal workload allocations of MEC and cloud computing. We then present the overall distribution optimization algorithm to solve this problem. The simulation and numerical results show that by saving communication bandwidth and reducing transmission delay, MEC significantly enhances the performance of cloud computing. Besides, the proposed workload balance scheme is better than the benchmark schemes in terms of power consumption and latency.

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Flexible Deployment System Based on IoT Standards Using Containers in Smart Factory Environments

Lee

Jeong

2019

Advances in Intelligent Systems and Computing

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VCMIA: A Novel Architecture for Integrating Vehicular Cyber-Physical Systems and Mobile Cloud Computing

Cited by 155 publications

References 15 publications

VCC-SSF: Service-Oriented Security Framework for Vehicular Cloud Computing

VCC-SSF: Service-Oriented Security Framework for Vehicular Cloud Computing

Cooperative mobile edge computing‐cloud computing in Internet of vehicle: Architecture and energy‐efficient workload allocation

Flexible Deployment System Based on IoT Standards Using Containers in Smart Factory Environments

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