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Silicon Valley Cybersecurity Conference : Third Conference, SVCC 2022, Virtual Event, August 17-19, 2022, Revised Selected Papers / edited by Luis Bathen, Gokay Saldamli, Xiaoyan Sun, Thomas H. Austin, Alex J. Nelson.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1683
- Communications in Computer and Information Science, 1865-0937 ; 1683
- Language:
- English
- Subjects (All):
- Data protection.
- Image processing-Digital techniques.
- Computer vision.
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Data and Information Security.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Local Subjects:
- Data and Information Security.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Physical Description:
- 1 online resource (IX, 137 pages) : 64 illustrations, 53 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2022.
- System Details:
- text file PDF
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-24049-2
- 9783031240492
- Access Restriction:
- Restricted for use by site license.
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