Block-DEF: A secure digital evidence framework using blockchain

Tian, Zhihong; Li, Mohan; Qiu, Meikang; Sun, Yanbin; Su, Shen

doi:10.1016/j.ins.2019.04.011

Cited by 302 publications

(111 citation statements)

References 25 publications

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“…Charging pile may advertise the quality and availability of service to the EVs which can make decision of charging choice to eliminate the waste of time and energy in case of choosing another pile due to capacity limit and profile mismatch. When an EV chooses to drive to the charging pile, the charging scheduler may prepare the preserved matched pile and correspondent power load budget according to the physical and electrical profile of the given vehicle type [27]. The request reserved renegotiation procedure eliminates possibility of the denies of service for the incoming request due to limited resource such as power and related service infrastructure.…”

Section: Modeling Of Charging Pilementioning

confidence: 99%

Time series behavior modeling with digital twin for Internet of Vehicles

Zhang¹,

Liu²,

Luo

et al. 2019

J Wireless Com Network

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Electric vehicle (EV) is considered eco-friendly with low carbon emission and maintenance costs. Given the current battery and charging technology, driving experience of EVs relies heavily on the availability and reachability of EV charging infrastructure. As the number of charging piles increases, carefully designed arrangement of resources and efficient utilization of the infrastructure is essential to the future development of EV industry. The mobility and distribution of EVs determine the charging demand and the load of power distribution grid. Then, dynamic traffic pattern of numerous interconnected EVs poses great impact on charging plans and charging infrastructure. In this paper, we introduce the digital twin of a real-world EV by modeling the mobility based on a time series behaviors of EVs to evaluate the charging algorithm and pile arrangement policy. The introduced digital twin EV is a virtually simulated equivalence with same traffic behaviors and charging activities as the EV in real world. The behavior and route choice of EVs is dynamically simulated base on the time-varying driving operations, travel intent, and charging plan in a simulated large-scale charging scenario composed of concurrently moving EVs and correspondingly equipped charging piles. Different EV navigation algorithms and charging algorithms of Internet of Vehicle can be exactly evaluated in the dynamic simulation of the digital twins of the moving EVs and charging infrastructure. Then we analyze the collected data such as energy consumption, charging capacity, charging frequency, and waiting time in queue on both the EV side and the charging pile side to evaluate the charging efficiency. The simulation is used to study the relations between the scheduled charging operation of EVs and the deployment of piles. The proposed model helps evaluate and validate the design of the charging recommendation and the deployment plan regarding to the arrangement and distribution of charging piles.

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Section: Modeling Of Charging Pilementioning

confidence: 99%

Time series behavior modeling with digital twin for Internet of Vehicles

Zhang¹,

Liu²,

Luo

et al. 2019

J Wireless Com Network

View full text Add to dashboard Cite

show abstract

“…Their method also suffers from the vehicleto-vehicle trust management in spite of their incentive-based credit management scheme. As a wider range, wireless issues has also drawn much more research interest [28][29][30][31][32][33][34][35] during the last two decades.…”

Section: Related Workmentioning

confidence: 99%

Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles

Tian

Gao

et al. 2020

IEEE Internet Things J.

Self Cite

125

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Trust management of Internet of connected vehicles has been a hot topic during the recent years with the rapid development of UGV technologies. However, existing resolutions based on trustworthiness verification among vehicles make the traffic event transmission quite inefficient. In this paper, we assume that the deployed RSUs can provide efficient communication between any pair of RSU and vehicle, and propose Vcash, a reputation framework for identifying denial of traffic service, to resolve the trustworthiness problem in the application level of the Internet of connected vehicles.In our reputation framework, every vehicle communicates with the RSU directly for traffic event verification, and spread verified traffic event notification. We borrow the idea of market trading, and set up trading rules to restrict the malicious vehicle's spread of false message, and to encourage vehicles to contribute to the traffic event monitoring and verification. To evaluate the effectiveness of our reputation framework, we conduct simulation experiment. Our experiment results indicate that our proposal manages to avoid bogus event spread, and a vehicle in our framework has to contribute to the traffic event detection to normally employ the traffic service. Index Terms-Vehicle Cash, traffic event, event trading, RSUsXiangsong Gao is with China Academy of Engineer Physics, Mianyang,

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“…As shown above, the rise of new technologies (e.g. Internet of Vehicles, [34][35][36][37] Heterogeneous Sensor Networks, [38][39][40][41][42][43] Edge Computing, 44,45 Smart City, 46 Blockchain) [47][48][49] makes CIA unsuitable. In this section, we will answer two fundamental problems: which security properties are fundamental?…”

Section: Connotation Of Information Securitymentioning

confidence: 99%

Hierarchically defining Internet of Things security: From CIA to CACA

Liu

Fang

et al. 2020

International Journal of Distributed Sensor Networks

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With the rapid development of Internet of Things technology (e.g. wireless sensor networks), security has become a global issue. Confidentiality, integrity, and availability (known as the CIA triangle) is widely used to define and model information security. However, this CIA triangle is insufficient to address rapidly changing security requirements. In this article, we divide information systems into four layers: physical layer, operational layer, data layer, and content layers (PODC). Corresponding, hierarchy of information security is proposed. Furthermore, we define the basic security properties for each layer and show that the four properties (i.e. confidentiality, availability, controllability, and authentication, called CACA) are minimally complete and independent for information security. Based on PODC and CACA, a new definition of information security is proposed, which acts as a secure foundation for information systems.

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Block-DEF: A secure digital evidence framework using blockchain

Cited by 302 publications

References 25 publications

Time series behavior modeling with digital twin for Internet of Vehicles

Time series behavior modeling with digital twin for Internet of Vehicles

Vcash: A Novel Reputation Framework for Identifying Denial of Traffic Service in Internet of Connected Vehicles

Hierarchically defining Internet of Things security: From CIA to CACA

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