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Silicon Valley Cybersecurity Conference -

Silicon Valley Cybersecurity Conference

Third Conference, SVCC 2022, Virtual Event, August 17–19, 2022, Revised Selected Papers
Buch | Softcover
IX, 137 Seiten
2023 | 1st ed. 2022
Springer International Publishing (Verlag)
978-3-031-24048-5 (ISBN)
CHF 59,90 inkl. MwSt
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.

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.

Erscheinungsdatum
Reihe/Serie Communications in Computer and Information Science
Zusatzinfo IX, 137 p. 64 illus., 53 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 241 g
Themenwelt Informatik Netzwerke Sicherheit / Firewall
Schlagworte Applications • Artificial Intelligence • Blockchain • classification • computer crime • Computer Networks • Computer Science • Computer Security • Computer systems • computer vision • conference proceedings • cryptography • Data communication systems • Data Security • distributed computer systems • Distributed Ledger • Image Analysis • Informatics • Intrusion Detection • machine learning • Network Protocols • Network Security • open access • parallel processing systems • Query Languages • Research
ISBN-10 3-031-24048-0 / 3031240480
ISBN-13 978-3-031-24048-5 / 9783031240485
Zustand Neuware
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