Details
| Title | Advances in information security, privacy, and ethics (AISPE) book series. — Advances in malware and data-driven network security |
|---|---|
| Other creators | Gupta Brij |
| Collection | Электронные книги зарубежных издательств ; Общая коллекция |
| Subjects | Computer networks — Security measures. ; Malware (Computer software) ; Machine learning. ; Digital forensic science. ; EBSCO eBooks |
| Document type | Other |
| File type | |
| Language | English |
| Rights | Доступ по паролю из сети Интернет (чтение, печать, копирование) |
| Record key | on1243036193 |
| Record create date | 3/8/2021 |
Allowed Actions
| pdf/3097366.pdf | – |
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| epub/3097366.epub | – |
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| Group | Anonymous |
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| Network | Internet |
"This book describes some of the recent notable advances in threat-detection using machine-learning and artificial-intelligence with a focus on malwares, covering the current trends in ML/statistical approaches to detecting, clustering or classification of cyber-threats extensively"--.
| Network | User group | Action |
|---|---|---|
| ILC SPbPU Local Network | All |
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| Internet | Authorized users SPbPU |
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| Internet | Anonymous |
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- Cover
- Title Page
- Copyright Page
- Book Series
- Dedication
- Editorial Advisory Board
- Table of Contents
- Detailed Table of Contents
- Preface
- Acknowledgment
- Chapter 1: Machine Learning for Malware Analysis
- Chapter 2: Research Trends for Malware and Intrusion Detection on Network Systems
- Chapter 3: Deep-Learning and Machine-Learning-Based Techniques for Malware Detection and Data-Driven Network Security
- Chapter 4: The Era of Advanced Machine Learning and Deep Learning Algorithms for Malware Detection
- Chapter 5: Malware Detection in Industrial Scenarios Using Machine Learning and Deep Learning Techniques
- Chapter 6: Malicious Node Detection Using Convolution Technique
- Chapter 7: Scalable Rekeying Using Linked LKH Algorithm for Secure Multicast Communication
- Chapter 8: Botnet Defense System and White-Hat Worm Launch Strategy in IoT Network
- Chapter 9: A Survey on Emerging Security Issues, Challenges, and Solutions for Internet of Things (IoTs)
- Chapter 10: SecBrain
- Chapter 11: A Study on Data Sharing Using Blockchain System and Its Challenges and Applications
- Chapter 12: Fruit Fly Optimization-Based Adversarial Modeling for Securing Wireless Sensor Networks (WSN)
- Chapter 13: Cybersecurity Risks Associated With Brain-Computer Interface Classifications
- Compilation of References
- About the Contributors
- Index
