05932nam 22006135 450 991086918140332120240626103929.09783031535109(electronic bk.)978303153509310.1007/978-3-031-53510-9(MiAaPQ)EBC31504015(Au-PeEL)EBL31504015(CKB)32569146900041(DE-He213)978-3-031-53510-9(OCoLC)1443085227(EXLCZ)993256914690004120240625d2024 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierNetwork Security Empowered by Artificial Intelligence /edited by Yingying Chen, Jie Wu, Paul Yu, Xiaogang Wang1st ed. 2024.Cham :Springer Nature Switzerland :Imprint: Springer,2024.1 online resource (443 pages)Advances in Information Security,2512-2193 ;107Print version: Chen, Yingying Network Security Empowered by Artificial Intelligence Cham : Springer,c2024 9783031535093 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.This book introduces cutting-edge methods on security in spectrum management, mobile networks and next-generation wireless networks in the era of artificial intelligence (AI) and machine learning (ML). This book includes four parts: (a) Architecture Innovations and Security in 5G Networks, (b) Security in Artificial Intelligence-enabled Intrusion Detection Systems. (c) Attack and Defense in Artificial Intelligence-enabled Wireless Systems, (d) Security in Network-enabled Applications. The first part discusses the architectural innovations and security challenges of 5G networks, highlighting novel network structures and strategies to counter vulnerabilities. The second part provides a comprehensive analysis of intrusion detection systems and the pivotal role of AI and machine learning in defense and vulnerability assessment. The third part focuses on wireless systems, where deep learning is explored to enhance wireless communication security. The final part broadens the scope, examining the applications of these emerging technologies in network-enabled fields. The advancement of AI/ML has led to new opportunities for efficient tactical communication and network systems, but also new vulnerabilities. Along this direction, innovative AI-driven solutions, such as game-theoretic frameworks and zero-trust architectures are developed to strengthen defenses against sophisticated cyber threats. Adversarial training methods are adopted to augment this security further. Simultaneously, deep learning techniques are emerging as effective tools for securing wireless communications and improving intrusion detection systems. Additionally, distributed machine learning, exemplified by federated learning, is revolutionizing security model training. Moreover, the integration of AI into network security, especially in cyber-physical systems, demands careful consideration to ensure it aligns with the dynamics of these systems. This book is valuable for academics, researchers, and students in AI/ML, network security, and related fields. It serves as a resource for those in computer networks, AI, ML, and data science, and can be used as a reference or secondary textbook.Advances in Information Security,2512-2193 ;107Artificial intelligenceComputer networksSecurity measuresMachine learningArtificial IntelligenceMobile and Network SecurityMachine LearningArtificial intelligence.Computer networksSecurity measures.Machine learning.Artificial Intelligence.Mobile and Network Security.Machine Learning.006.3Chen Yingying1743280Wu Jie487060Yu Paul1416675Wang Xiaogang1743281MiAaPQMiAaPQMiAaPQ9910869181403321Network Security Empowered by Artificial Intelligence4170575UNINA05551nam0 22008531i 450 UON0038985020231205104606.451978-34-470-6251-020110314d2010 |0itac50 baengDE|||| |||||Recent discoveries and latest researches in egyptologyproceedings of the First Neapolitan Congress of Egyptology, Naples, june 18th-20th 2008edited by Francesco Raffaele, Massimiliano Nuzzolo and Ilaria IncordinoWiesbadenHarrassowitz2010. -vii369 p.ill. ; 25 cmpp. 201-220UON00399658pp. 245-285UON00399662pp. 221-236UON00399659pp. 121-143UON00399582pp. 67-85UON00399572pp. 287-292UON00399665pp. 25-31UON00399567pp. 237-244UON00399660pp. 331-347UON00399670pp. 1-12UON00399563pp. 107-120UON00399575pp. 13-24UON00399564p. 210UON00399587pp. 349-358UON00399671pp. 293-312UON00399667pp. 51-65UON00399571pp. 313-329UON00399668pp. 145-155UON00399583pp. 33-50UON00399570pp. 87-106UON00399574pp. 177-197UON00399586pp. 359-369UON00399672pp. 157-175UON00399585001UON003996582001 ˆLe ‰abitazioni di Marina: modelli ellenistici in chiave alessandrinaPatrizio Pensabene pp. 201-220001UON003996622001 Animal rows and cerimonial processions in late predynastic EgyptFrancesco Raffaele pp. 245-285001UON003996592001 Archaeology and archives: The Egyptian Museums in Egypt at the end of the nineteenth centuryPatrizia Piacentini pp. 221-236001UON003995822001 Continuity and change in the visual representations of Predynastic EgyptStan Hendrickx and Merel Eyckerman pp. 121-143001UON003995722001 ˆThe ‰early Royal Cemetery at Hierakonpolis: An overviewRenée Friedman pp. 67-85001UON003996652001 ˆL'‰Egitto e StabiaeRAS Foundation pp. 287-292001UON003995672001 Egyptological sources of the National Library of NaplesSilvana Casale and Rosaria Savio pp. 25-31001UON003996602001 Epigraphic documents from Mersa Gawasis: A reassessmentRosanna Pirelli pp. 237-244001UON003996702001 First dinasty wine jars inscribed with the floral sign 'Sm'jEdwin C.M. van den Brink pp. 331-347001UON003995632001 ˆLes ‰fouilles du Louvre à Mouweis. 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