Cyber–Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges, and Future Visions

You-hai, Jin; Guo, Lulu; Yang, Bowen; Li, Fangyu; Du, Liang; Guan, Le; Song, Wen-Zhan

doi:10.1109/jestpe.2020.3045667

Cited by 52 publications

(19 citation statements)

References 140 publications

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“…Based on the literature summarizes the main challenges SMEs face in implementing good cybersecurity and summarizes key recommendations. [11] The authors proposed several measurements to monitor abnormal load deviations and suspicious branch flow changes. A formal two-step approach is proposed to detect False Data Injection (FDI) cyber-attacks.…”

Section: Literature Surveymentioning

confidence: 99%

An efficient cyber security system based on flow-based anomaly detection using Artificial neural network

Hephzipah¹,

Vallem²,

Sheela

et al. 2023

MJCS

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Cyber security is developing factor for protecting internet resources by handing various monitoring feature based support to improve the security. Increasing internet cries in the defined facts for need of advance met in cyber security. Most internet attacker’s theft the information through malicious activities, false data injection, hacking and make soon creating procedures. In most cases cyber sercuity failed to detect the malicious activities because the monitoring feature analyses improper to predict the result in previous machine learning algorithms. TO resolve this problem to propose an advance cyber security based on flow-based anomaly detection using Min max game theory optimized artificial neural network (MMGT-ANN). The reprocessing was carried out with KDD crime dataset. Then Data driven network model is applied to monitor the feature margins and defect scaling rate. Based on the feature scaling rate Transmission Flow defect rate is estimated and applied with Min max Game theory to select the feature limits. Then features are trained with optimized ANN to detect the crime rate. By the attention of the proposed system achieves higher performance in precision rate to attain higher detection accuracy with lower time complexity compared to the other system.

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Section: Literature Surveymentioning

confidence: 99%

An efficient cyber security system based on flow-based anomaly detection using Artificial neural network

Hephzipah¹,

Vallem²,

Sheela

et al. 2023

MJCS

View full text Add to dashboard Cite

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“…Based on the idea of generating a countermeasure network, the risk forecast problem of electric vehicle networking nodes is transformed into the generation problem of behavior sequence in the generation countermeasure network [26,27]. Let the behavior sequence of nodes be According to the historical communication behavior data of the nodes, we learn the probability distribution of the node risk, so as to predict the risk of nodes in the future.…”

Section: Data Risk Forecast Model Of Electric Vehicle Internet Of Veh...mentioning

confidence: 99%

Design of a Data Security Access Control Algorithm for the Electric Vehicle Internet of Vehicles Based on Blockchain Technology

Jia

2022

WEVJ

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The data transmission in the vehicle network is easily interfered with by the outside world, which makes the security of data access difficult to provide in order to meet the actual needs. Therefore, a data security access control algorithm for an electric vehicle network based on blockchain technology is proposed. Using the double-chain architecture of analliance chain-private chain in a blockchain, the distributed database of data communication for vehicle networking is constructed. In the process of vehicle network communication, the longshort-term memory neural network is introduced to analyze the risk of communication behavior. A generator and discriminator are used to avoid communication risk behavior and realize secure access to data. The experimental results show that the success rate of data tampering is lower than 0.09 when this design method is used to deal with external intrusion, and it has high security.

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“…track battery life, detect weather conditions, and provide directions, such as security [24,25] . The IoTbased smart transportation system is briefly demonstrated in Fig.…”

Section: Fangyu LI Et Al: Towards Iot-based Sustainable Digital Commu...mentioning

confidence: 99%

Towards IoT-based sustainable digital communities

Yang

Gao

et al. 2022

Intell. and Converged Netw.

Self Cite

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Seeking continuous development, a modern community must also be able to adapt to future possible challenges using constrained or limited resources. As a revolutionary communication paradigm, the Internet of Things (IoT) empowers the cutting-edge and emerging applications which enable manifold new intelligent services towards a smart community. The sophisticated ecosystem of a digital community is made feasible by the IoT infrastructure, which also provides community control with access to a wealth of actual data. In addition, IoT platforms empower the ubiquitous computing ability, providing more potentials to the actuators in perception layer in the IoT architecture.With more and more population in the urban areas, sustainability issues have become a key factor to consider in the development of a digital community. We give a modern survey in this study on the most recent developments in IoT for sustainable digital communities. After carefully examining the most recent literature, we specifically highlight the various smart digital community application scenarios, such as smart buildings, energy management, green transportation, trash management, etc. We also look into a number of major issues facing the use of IoT technology in digital communities. Furthermore, we discuss potential future applications and future research areas for IoT, the critical component of sustainable digital communities.

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Cyber–Physical Security of Powertrain Systems in Modern Electric Vehicles: Vulnerabilities, Challenges, and Future Visions

Cited by 52 publications

References 140 publications

An efficient cyber security system based on flow-based anomaly detection using Artificial neural network

An efficient cyber security system based on flow-based anomaly detection using Artificial neural network

Design of a Data Security Access Control Algorithm for the Electric Vehicle Internet of Vehicles Based on Blockchain Technology

Towards IoT-based sustainable digital communities

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