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Inventi Impact: Artificial Intelligence

Articles

  • Inventi:eai/31900/20
    A Self�Learning Detection Method of Sybil Attack Based on LSTM for Electric Vehicles
    Research 2020 : July - September
    Yi-Ying Zhang, Jing Shang, Xi Chen, Kun Liang

    Electric vehicles (EVs) are the development direction of new energy vehicles in the future. \nAs an important part of the Internet of things (IOT) communication network, the charging pile is \nalso facing severe challenges in information security. At present, most detection methods need a lot \nof prophetic data and too much human intervention, so they cannot do anything about unknown \nattacks............................

    How to Cite this Article
    Attribution/ CC Compliant Citation: Zhang, Yi-Ying, et al. \"A Self-Learning Detection Method of Sybil Attack\nBased on LSTM for Electric Vehicles.\" Energies 13.6 (2020): 1382.\nhttps://doi:10.3390/en13061382\nhttp://creativecommons.org/licenses/by/4.0/\n\nSome formatting elements, header, footer, logos, dates and pagination were modified while adapting this article.
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