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        Silicon Valley Cybersecurity Conference

        Third Conference, SVCC 2022, Virtual Event, August 17–19, 2022, Revised Selected Papers

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        Contributor(s)
        Bathen, Luis (editor)
        Saldamli, Gokay (editor)
        Sun, Xiaoyan (editor)
        Austin, Thomas H. (editor)
        Nelson, Alex J. (editor)
        Language
        English
        Show full item record
        Abstract
        This open access book constitutes refereed proceedings of the Third Conference on Silicon Valley Cybersecurity Conference, SVCC 2022, held as virtual event, in August 17–19, 2022. The 8 full papers included in this book were carefully reviewed and selected from 10 submissions. The contributions are divided into the following thematic blocks: Malware Analysis; Blockchain and Smart Contracts; Remote Device Assessment. This is an open access book.
        URI
        https://library.oapen.org/handle/20.500.12657/61298
        Keywords
        artificial intelligence; blockchain; classification; computer crime; computer networks; computer security; computer systems; computer vision; cryptography; data communication systems; data security; distributed computer systems; distributed ledger; image analysis; intrusion detection; machine learning; network protocols; network security; parallel processing systems; query languages
        DOI
        10.1007/978-3-031-24049-2
        ISBN
        9783031240492, 9783031240492
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2022
        Imprint
        Springer Nature Switzerland
        Series
        Communications in Computer and Information Science, 1683
        Classification
        Computer security
        Computer vision
        Artificial intelligence
        Computer networking and communications
        Pages
        137
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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