Secure Edge and Fog Computing Enabled AI for IoT and Smart Cities : Includes selected Papers from International Conference on Advanced Computing & Next-Generation Communication (ICACNGC 2022) / / edited by Ahmed A. Abd El-Latif, Lo’ai Tawalbeh, Yassine Maleh, Brij B. Gupta |
Autore | Abd El-Latif Ahmed A |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (259 pages) |
Disciplina | 621.382 |
Altri autori (Persone) |
TawalbehLo'ai
MalehYassine GuptaBrij B |
Collana | EAI/Springer Innovations in Communication and Computing |
Soggetto topico |
Telecommunication
Data protection Security systems Database management Communications Engineering, Networks Data and Information Security Security Science and Technology Database Management System |
ISBN | 3-031-51097-6 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part 1: AI Enabled Smart City IoT System using Edge /Fog Computing -- Chapter 1. Multi-level edge computing system for autonomous vehicles -- Chapter 2. UAVs based edge computing system for smart city applications -- Chapter 3. Organization of Smart City Services Based on Microservice Architecture -- Chapter 4. Pseudo-Random Error-Correcting Codes in Network Coding -- Chapter 5. Proactive management in Smart City: transport convoys -- Chapter 6. Federated Learning for Linux Malware Detection: An Experimental Study -- Chapter 7. Delay prediction in M2M networks using Deep Learning approach -- Chapter 8. Energy-Efficient Beam Shaping in MIMO System Using Machine Learning -- Chapter 9. Channel Cluster Configuration Selection Method for IEEE 802.11 Networks Planning -- Chapter 10. Service migration algorithm for UAVs recharge zones in future 6G network -- Chapter 11. FedBA: Non-IID Federated Learning Framework in UAV Networks -- Part 2: Fog/Edge Computing Security Issues -- Chapter 12. Big Data Analytics for Secure Edge-based Manufacturing Internet of Things (MIoT) -- Chapter 13. Artificial Intelligence-Based Secure Edge Computing Systems for IoTDs and Smart Cities: A Survey -- Chapter 14. Machine Learning Techniques for Secure Edge SDN -- Chapter 15. Machine Learning-Based Identity and Access Management for Cloud Security -- Chapter 16. Spatial Data of Smart Cities: Trust -- Chapter 17. Smart City Infrastructure Projects: Spatial Data of Risks -- Chapter 18. A Comparative Analysis of Blockchain-Based Authentication Models for IoT Networks -- Chapter 19. Development of determining a wireless client location method in the IEEE 802.11 network in order to ensure the IT infrastructure security. |
Record Nr. | UNINA-9910845481903321 |
Abd El-Latif Ahmed A | ||
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Security and Privacy Preserving for IoT and 5G Networks : Techniques, Challenges, and New Directions |
Autore | Abd El-Latif Ahmed A |
Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2021 |
Descrizione fisica | 1 online resource (283 pages) |
Altri autori (Persone) |
Abd-El-AttyBassem
Venegas-AndracaSalvador E MazurczykWojciech GuptaBrij B |
Collana | Studies in Big Data Ser. |
Soggetto genere / forma | Electronic books. |
ISBN | 3-030-85428-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910502978403321 |
Abd El-Latif Ahmed A | ||
Cham : , : Springer International Publishing AG, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|