Cybersecurity of Plug-In Electric Vehicles: Cyberattack Detection During Charging

Dey, Satadru; Khanra, Munmun

doi:10.1109/tie.2020.2965497

Cited by 45 publications

(17 citation statements)

References 22 publications

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“…Under these circumstances, the candidate k + 1 item set generated by reduced frequent itemset L k ′ connection is less than the number of candidate elements generated by C k+1 ′ generated by L k ′ connection that has not been processed by reducing the number of C k+1 ′ . is can reduce the use of set X all k − 1 subsets, so that it can be judged that the set X is the nature of the infrequent itemset, and the infrequent itemset can also be filtered to determine, thus reducing the overhead in time [25].…”

Section: Apriori Algorithm Elaborationmentioning

confidence: 99%

Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm

Shao

2021

Security and Communication Networks

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In my country, college students’ physical exercise is mainly through physical exercise and amateur sports, which is basically in a state of disorder. Based on the improved association rules, this paper introduces the auxiliary decision support system for college students’ sports training. First, we introduced a network security method and designed a sports training decision support system based on network security. Secondly, based on the Apriori algorithm, we have realized the organic integration of all aspects of college students’ sports, applied scientific training theories and advanced training methods to the management of college students’ sports training, and generated new knowledge rules through data mining technology, enriching knowledge. Finally, according to user input, select the corresponding model and combine with the rules in the knowledge base to generate a reasonable exercise training plan. After model simulation and example verification, the sports training decision support system based on the improved association rule prior algorithm designed in this paper has good applicability and efficiency.

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Section: Apriori Algorithm Elaborationmentioning

confidence: 99%

Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm

Shao

2021

Security and Communication Networks

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“…2, the harmful impacts might be even more severe. Fourth, many recent works have underlined the emerging challenges owing to the rapid integration of distributed energy resources [4]- [6], as their growing distributed capacity calls for the need of coordination to a certain extent, however, the sheer number creates difficulty for monitoring of cyberphysical threats. Fifth, the expanding datasets about an energy system may be eluding proprietary and security related data; advanced data mining approaches can recover safety-critical information ¡Error!…”

Section: Cyber-physical and Resilient Energy Systemsmentioning

confidence: 99%

A Review of Current Research Trends in Power-Electronic Innovations in Cyber–Physical Systems

Mazumder

Kulkarni

Sahoo

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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In this paper, a broad overview of the current research trends in power-electronic innovations in cyberphysical systems (CPSs) is presented. The recent advances in semiconductor device technologies, control architectures, and communication methodologies have enabled researchers to develop integrated smart CPSs that can cater to the emerging requirements of smart grids, renewable energy, electric vehicles, trains, ships, internet of things (IoTs), etc. The topics presented in this paper include novel power-distribution architectures, protection techniques considering large renewable integration in smart grids, wireless charging in electric vehicles, simultaneous power and information transmission, multi-hop network-based coordination, power technologies for renewable energy and smart transformer, CPS reliability, transactive smart railway grid, and real-time simulation of shipboard power systems. It is anticipated that the research trends presented in this paper will provide a timely and useful overview to the power-electronics researchers with broad applications in CPSs.

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“…In the second scheme, although no prior knowledge of attacks is utilized, the attack values in the dynamic system are often supposed to be state-dependent and bounded, hence in most cases, to guarantee robustness and stability, the designed resilient controllers expose some considerable conservatism. For cybersecurity of powertrain and power electronic systems in EVs, the above model-based literature provides fundamental methodologies, for instance, observer-based cyber-attack detection during charging for battery packs [150], in which a linear battery dynamics model is used. To improve the cyberphysical security of EVs with four motor drives, [151] proposed a coordinated detection methodology that combines state observer and performance-based evaluation metrics.…”

Section: Stealthy Attackmentioning

confidence: 99%

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

You-hai

Guo

Yang

et al. 2021

IEEE J. Emerg. Sel. Topics Power Electron.

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Cybersecurity of Plug-In Electric Vehicles: Cyberattack Detection During Charging

Cited by 45 publications

References 22 publications

Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm

Research on Sports Training Decision Support System Based on Improved Association Rules Algorithm

A Review of Current Research Trends in Power-Electronic Innovations in Cyber–Physical Systems

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

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