Security, privacy, and forensics issues in big data / : библиография

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.

Показать ещё