Emerging Trends in Information System Security Using AI & Data Science for Next-Generation Cyber Analytics
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , |
| Περίληψη: | XIV, 203 p. 56 illus., 51 illus. in color. text |
| Γλώσσα: | Αγγλικά |
| Έκδοση: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2025.
|
| Έκδοση: | 1st ed. 2025. |
| Σειρά: | Information Systems Engineering and Management,
32 |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1007/978-3-031-81481-5 |
| Μορφή: | Ηλεκτρονική πηγή Βιβλίο |
Πίνακας περιεχομένων:
- 1.AI-Driven Modern Cybersecurity Approach: A Systematic Literature Review
- 2.Cyber Security in the Post-Quantum Computer Era: Threats and Perspectives
- 3.Deep Neural Network for DoS Detection in Wireless Sensors Networks.-4.Survey on IoT Security Threats Application and Architectures
- 5.Lightweight Cryptography Algorithms for IoT Devices
- 6.Guarding the Digital Gateway: An In-depth Analysis of Cybersecurity Challenges in India
- 7.Predictive Modeling for Food Security Assessment Using Synthetic Minority Over-Sampling Technique
- 8.Exploring the Secure Unleashing of Digital Potential: A Study on How Cloud Security Works Together with Digital Transformation in Financial Institutions of Pakistan
- 9.Reviewing Theoretical Perspectives on IT Governance and Compliance in Banking: Insights from US Regulatory Frameworks
- 10.Overcoming Challenges and Implementing Effective Information Security Policies for Remote Work Environments
- 11.Generative Adversarial Networks (GAN) Insights for Cyber Security Applications
- 12.Future Emerging Challenges and Innovations in Next Gen-Cybersecurity and Information Systems Security.