UID:
almahu_9949435620602882
Umfang:
IX, 137 p. 64 illus., 53 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2022.
ISBN:
9783031240492
Serie:
Communications in Computer and Information Science, 1683
Inhalt:
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.
Anmerkung:
Malware Analysis -- Robustness of Image-Based Malware Analysis -- Word Embeddings for Fake Malware Generation -- Twitter bots detection with Benford's Law and Machine Learning -- Blockchain and Smart Contracts -- A Blockchain-based Retribution Mechanism for Collaborative Intrusion Detection -- Smart Contracts in the Cloud -- A Blockchain-based Tamper-resistant Logging Framework -- Remote Device Assessment -- Impact of Location Spoofing Attacks on Performance Prediction in Mobile Networks -- Deep IoT Monitoring: Filtering IoT Traffic Using Deep Learning.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031240485
Weitere Ausg.:
Printed edition: ISBN 9783031240508
Sprache:
Englisch
DOI:
10.1007/978-3-031-24049-2
URL:
https://doi.org/10.1007/978-3-031-24049-2
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