Цифровые и тематические книжные коллекции издания
Содержание
- Chapter 1. Securing the cloud for big data
- Chapter 2. Big data: challenges and solutions
- Chapter 3. Human factors in cybersecurity: issues and challenges in big data
- Chapter 4. Security and privacy challenges in big data
- Chapter 5. Cloud-centric blockchain public key infrastructure for big data applications
- Chapter 6. Security vulnerabilities, threats, and attacks in IoT and big data: challenges and solutions
- Chapter 7. Threat hunting in windows using big security log data
- Chapter 8. Nature-inspired techniques for data security in big data
- Chapter 9. Bootstrapping urban planning: addressing big data issues in smart cities
- Chapter 10. Securing online bank's big data through block chain technology: cross-border transactions security and tracking
- Chapter 11. Enhance data security and privacy in cloud
- Chapter 12. The unheard story of organizational motivations towards user privacy
- Chapter 13. Botnet and Internet of things (IoTs): a definition, taxonomy, challenges, and future directions
- Chapter 14. A conceptual model for the organizational adoption of information system security innovations
- Chapter 15. Theoretical foundations of deep resonance interference network: towards intuitive learning as a wave field phenomenon
- Chapter 16. Malware threat in internet of things and its mitigation analysis
- Chapter 17. Leveraging fog computing and deep learning for building a secure individual health-based decision support system to evade air pollution.