Autore |
Chen Yingying
|
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa |
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
|
Descrizione fisica |
1 online resource (443 pages)
|
Disciplina |
006.3
|
Altri autori (Persone) |
WuJie
YuPaul
WangXiaogang
|
Collana |
Advances in Information Security
|
Soggetto topico |
Artificial intelligence
Computer networks - Security measures
Machine learning
Artificial Intelligence
Mobile and Network Security
Machine Learning
|
ISBN |
9783031535109
9783031535093
|
Formato |
Materiale a stampa |
Livello bibliografico |
Monografia |
Lingua di pubblicazione |
eng
|
Nota di contenuto |
Preface -- Part I. Architecture Innovations and Security in 5G Networks -- Chapter. 1. nCore: Clean Slate Next-G Mobile Core Network Architecture for Scalability and Low Latency -- Chapter. 2. Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networks -- Part. II. Security in Artificial Intelligence-enabled Intrusion Detection Systems -- Chapter. 3. Artificial Intelligence and Machine Learning for Network Security – Quo Vadis? -- Chapter 4. Understanding the Ineffectiveness of the Transfer Attack in Intrusion Detection System -- Chapter. 5. Advanced ML/DL-based Intrusion Detection Systems for Software-Defined Networks -- Part III. Attack and Defense in Artificial Intelligence-enabled Wireless Systems -- Chapter. 6. Deep Learning for Robust and Secure Wireless Communications -- Chapter. 7. Universal Targeted Adversarial Attacks Against mmWave-based Human Activity Recognition -- Chapter. 8. AdversarialMachine Learning for Wireless Localization -- Chapter. 9. Localizing Spectrum Offenders Using Crowdsourcing -- Chapter. 10. Adversarial Online Reinforcement Learning Under Limited Defender Resources -- Part. IV. Security in Network-enabled Applications -- Chapter. 11. Security and Privacy of Augmented Reality Systems -- Chapter. 12. Securing Augmented Reality Applications -- Chapter. 13. On the Robustness of Image-based Malware Detection against Adversarial Attacks -- Chapter. 14. The Cost of Privacy: A Comprehensive Analysis of the Security Issues in Federated Learning -- Chapter. 15. Lessons Learned and Future Directions for Security, Resilience and Artificial Intelligence in Cyber Physical Systems.
|
Record Nr. | UNINA-9910869181403321 |