Silicon Valley Cybersecurity Conference : third conference, SVCC 2022, Virtual event, August 17-19, 2022, Revised selected papers / Luis Bathen, Gokay Saldamli, Xiaoyan Sun, Thomas H. Austin, Alex J. Nelson (eds.).
SVCC (Conference) (3rd : 2022 : Online); Bathen, Luis, editor.; Saldamli, Gokay, editor.; Sun, Xiaoyan, editor.; Austin, Thomas H. editor.; Nelson, Alex J. editor.
2022
QA76.9.A25
Available Online

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Title Silicon Valley Cybersecurity Conference : third conference, SVCC 2022, Virtual event, August 17-19, 2022, Revised selected papers / Luis Bathen, Gokay Saldamli, Xiaoyan Sun, Thomas H. Austin, Alex J. Nelson (eds.).
Meeting Name SVCC (Conference) (3rd : 2022 : Online)
ISBN 9783031240492 (electronic bk.)
3031240499 (electronic bk.)
9783031240485
DOI https://doi.org/10.1007/978-3-031-24049-2
Published Cham : Springer, 2022.
Language English
Description 1 online resource (ix, 137 pages) : illustrations (some color).
Item Number 10.1007/978-3-031-24049-2 doi
Call Number QA76.9.A25
Dewey Decimal Classification 005.8
Summary 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.
Note Includes author index.
Access Note Open access.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed January 25, 2023).
Added Author Bathen, Luis, editor.
Saldamli, Gokay, editor.
Sun, Xiaoyan, editor.
Austin, Thomas H. editor.
Nelson, Alex J. editor.
Series Communications in computer and information science ; 1683. 1865-0937
Linked Resources Online Access
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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.

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