Accountability and privacy in network security / / Yuxiang Ma, Yulei Wu, Jingguo Ge |
Autore | Ma Yuxiang |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XII, 140 p. 62 illus., 59 illus. in color.) |
Disciplina | 005.8 |
Soggetto topico |
Computer networks - Security measures
Computer networks Computer security |
ISBN | 981-15-6575-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- A Comprehensive Survey -- Encrypted Traffic Classification -- A Content-based Architecture -- A Flow-based Architecture -- A Service-based Architecture -- An Information-Centric Networking based Architecture -- Summary. |
Record Nr. | UNINA-9910427715503321 |
Ma Yuxiang | ||
Cham, Switzerland : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Accountability and privacy in network security / / Yuxiang Ma, Yulei Wu, Jingguo Ge |
Autore | Ma Yuxiang |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2020] |
Descrizione fisica | 1 online resource (XII, 140 p. 62 illus., 59 illus. in color.) |
Disciplina | 005.8 |
Soggetto topico |
Computer networks - Security measures
Computer networks Computer security |
ISBN | 981-15-6575-9 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- A Comprehensive Survey -- Encrypted Traffic Classification -- A Content-based Architecture -- A Flow-based Architecture -- A Service-based Architecture -- An Information-Centric Networking based Architecture -- Summary. |
Record Nr. | UNISA-996465343603316 |
Ma Yuxiang | ||
Cham, Switzerland : , : Springer, , [2020] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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AI and machine learning for network and security management / / Yulei Wu, Jingguo Ge and Tong Li |
Autore | Wu Yulei |
Pubbl/distr/stampa | Piscataway, New Jersey ; ; Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2023] |
Descrizione fisica | 1 online resource (338 pages) |
Disciplina | 006.3 |
Collana | IEEE Press series on networks and services management |
Soggetto topico |
Computer networks - Security measures - Data processing
Artificial intelligence Machine learning |
ISBN |
1-119-83590-9
1-119-83589-5 1-119-83588-7 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Table of Contents -- Title Page -- Copyright -- Author Biographies -- Preface -- Acknowledgments -- Acronyms -- 1 Introduction -- 1.1 Introduction -- 1.2 Organization of the Book -- 1.3 Conclusion -- References -- 2 When Network and Security Management Meets AI and Machine Learning -- 2.1 Introduction -- 2.2 Architecture of Machine Learning‐Empowered Network and Security Management -- 2.3 Supervised Learning -- 2.4 Semisupervised and Unsupervised Learning -- 2.5 Reinforcement Learning -- 2.6 Industry Products on Network and Security Management -- 2.7 Standards on Network and Security Management -- 2.8 Projects on Network and Security Management -- 2.9 Proof‐of‐Concepts on Network and Security Management -- 2.10 Conclusion -- References -- Notes -- 3 Learning Network Intents for Autonomous Network Management* -- 3.1 Introduction -- 3.2 Motivation -- 3.3 The Hierarchical Representation and Learning Framework for Intention Symbols Inference -- 3.4 Experiments -- 3.5 Conclusion -- References -- Notes -- 4 Virtual Network Embedding via Hierarchical Reinforcement Learning1 -- 4.1 Introduction -- 4.2 Motivation -- 4.3 Preliminaries and Notations -- 4.4 The Framework of VNE‐HRL -- 4.5 Case Study -- 4.6 Related Work -- 4.7 Conclusion -- References -- Note -- 5 Concept Drift Detection for Network Traffic Classification -- 5.1 Related Concepts of Machine Learning in Data Stream Processing -- 5.2 Using an Active Approach to Solve Concept Drift in the Intrusion Detection Field -- 5.3 Concept Drift Detector Based on CVAE -- 5.4 Deployment and Experiment in Real Networks -- 5.5 Future Research Challenges and Open Issues -- 5.6 Conclusion -- References -- Note -- 6 Online Encrypted Traffic Classification Based on Lightweight Neural Networks* -- 6.1 Introduction -- 6.2 Motivation -- 6.3 Preliminaries -- 6.4 The Proposed Lightweight Model.
6.5 Case Study -- 6.6 Related Work -- 6.7 Conclusion -- References -- Notes -- 7 Context‐Aware Learning for Robust Anomaly Detection* -- 7.1 Introduction -- 7.2 Pronouns -- 7.3 The Proposed Method - AllRobust -- 7.4 Experiments -- 7.5 Discussion -- 7.6 Conclusion -- References -- Note -- 8 Anomaly Classification with Unknown, Imbalanced and Few Labeled Log Data -- 8.1 Introduction -- 8.2 Examples -- 8.3 Methodology -- 8.4 Experimental Results and Analysis -- 8.5 Discussion -- 8.6 Conclusion -- References -- Notes -- 9 Zero Trust Networks -- 9.1 Introduction to Zero‐Trust Networks -- 9.2 Zero‐Trust Network Solutions -- 9.3 Machine Learning Powered Zero Trust Networks -- 9.4 Conclusion -- References -- 10 Intelligent Network Management and Operation Systems -- 10.1 Introduction -- 10.2 Traditional Operation and Maintenance Systems -- 10.3 Security Operation and Maintenance -- 10.4 AIOps -- 10.5 Machine Learning‐Based Network Security Monitoring and Management Systems -- 10.6 Conclusion -- References -- 11 Conclusions, and Research Challenges and Open Issues -- 11.1 Conclusions -- 11.2 Research Challenges and Open Issues -- References -- Index -- End User License Agreement. |
Record Nr. | UNINA-9910830309403321 |
Wu Yulei | ||
Piscataway, New Jersey ; ; Hoboken, New Jersey : , : IEEE Press : , : Wiley, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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