{"product_id":"troubleshooting-for-network-operators-the-road-to-a-new-paradigm-with-encrypted-traffic-hardback-9781786308672","title":"Troubleshooting for Network Operators; The Road to a New Paradigm with Encrypted Traffic (Hardback) 9781786308672","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eTroubleshooting for Network Operators\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eThe Road to a New Paradigm with Encrypted Traffic\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eVan Van Tong (Author), Sami Souihi (Author), Hai-Anh Tran (Author), Abdelhamid Mellouk (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781786308672, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 18 September 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e192 pages\u003cbr\u003e23.5 x 15.6 x 1.4 cm, 0.549 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eNowadays, the Internet is becoming more and more complex due to an everincreasing number of network devices, various multimedia services and a prevalence of encrypted traffic. \u003cbr\u003e\u003cbr\u003eTherefore, in this context, this book presents a novel efficient multi modular troubleshooting architecture to overcome limitations related to encrypted traffic and high time complexity. This architecture contains five main modules: data collection, anomaly detection, temporary remediation, root cause analysis and definitive remediation. In data collection, there are two sub modules: parameter measurement and traffic classification. This architecture is implemented and validated in a software-defined networking (SDN) environment.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface ix\u003c\/p\u003e \u003cp\u003eIntroduction xi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 State of the Art on Network Troubleshooting 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1.1 Network troubleshooting 1\u003c\/p\u003e \u003cp\u003e1.1.1 State of the art 2\u003c\/p\u003e \u003cp\u003e1.1.2 Traditional troubleshooting architecture 9\u003c\/p\u003e \u003cp\u003e1.2 Background on encryption protocols 10\u003c\/p\u003e \u003cp\u003e1.2.1 QUIC 11\u003c\/p\u003e \u003cp\u003e1.2.2 Other protocols 16\u003c\/p\u003e \u003cp\u003e1.3 Drawbacks of troubleshooting with encrypted traffic 18\u003c\/p\u003e \u003cp\u003e1.3.1 Network performance monitoring 18\u003c\/p\u003e \u003cp\u003e1.3.2 Intrusion detection system 20\u003c\/p\u003e \u003cp\u003e1.4 Conclusion 22\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Novel Global Troubleshooting Framework for Encrypted Traffic 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e2.1 Novel network troubleshooting architecture for encrypted traffic 25\u003c\/p\u003e \u003cp\u003e2.2 Proof of concept of novel troubleshooting architecture in SDN 28\u003c\/p\u003e \u003cp\u003e2.3 Data collection 32\u003c\/p\u003e \u003cp\u003e2.3.1 Data classification 32\u003c\/p\u003e \u003cp\u003e2.3.2 Monitoring tools 34\u003c\/p\u003e \u003cp\u003e2.3.3 Parameter measurement 37\u003c\/p\u003e \u003cp\u003e2.4 Troubleshooting dataset 40\u003c\/p\u003e \u003cp\u003e2.4.1 Datasets for root cause analysis 40\u003c\/p\u003e \u003cp\u003e2.4.2 Dataset for traffic classification 42\u003c\/p\u003e \u003cp\u003e2.5 Conclusion 43\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Traffic Classification: Novel QUIC Traffic Classifier Based on Convolutional Neural Network 45\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 45\u003c\/p\u003e \u003cp\u003e3.2 Background 48\u003c\/p\u003e \u003cp\u003e3.2.1 Convolutional network 48\u003c\/p\u003e \u003cp\u003e3.2.2 Characteristics of QUIC-based applications 49\u003c\/p\u003e \u003cp\u003e3.3 Traffic classification approaches 50\u003c\/p\u003e \u003cp\u003e3.3.1 Port-based approaches 50\u003c\/p\u003e \u003cp\u003e3.3.2 Payload-based approaches 51\u003c\/p\u003e \u003cp\u003e3.3.3 Statistic-based approaches 51\u003c\/p\u003e \u003cp\u003e3.3.4 DL-based approaches 52\u003c\/p\u003e \u003cp\u003e3.4 Novel traffic classification method for QUIC traffic 53\u003c\/p\u003e \u003cp\u003e3.4.1 Traffic collection 55\u003c\/p\u003e \u003cp\u003e3.4.2 Flow-based features 55\u003c\/p\u003e \u003cp\u003e3.4.3 Preprocessing 56\u003c\/p\u003e \u003cp\u003e3.4.4 Novel traffic classification method 56\u003c\/p\u003e \u003cp\u003e3.5 Experimental results 59\u003c\/p\u003e \u003cp\u003e3.5.1 Dataset specification 59\u003c\/p\u003e \u003cp\u003e3.5.2 Performance metrics 60\u003c\/p\u003e \u003cp\u003e3.5.3 Performance analysis 61\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 65\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Anomaly Detection 67\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 67\u003c\/p\u003e \u003cp\u003e4.2 Anomaly detection approaches 68\u003c\/p\u003e \u003cp\u003e4.2.1 Knowledge-based mechanisms 68\u003c\/p\u003e \u003cp\u003e4.2.2 Rule inductions 69\u003c\/p\u003e \u003cp\u003e4.2.3 Information theory 70\u003c\/p\u003e \u003cp\u003e4.2.4 ML-based mechanisms 70\u003c\/p\u003e \u003cp\u003e4.3 Anomaly detection approach using machine learning 71\u003c\/p\u003e \u003cp\u003e4.3.1 ML-based anomaly detection method 72\u003c\/p\u003e \u003cp\u003e4.3.2 Data collection and processing 74\u003c\/p\u003e \u003cp\u003e4.4 Experimental results 75\u003c\/p\u003e \u003cp\u003e4.4.1 Experimental setup 75\u003c\/p\u003e \u003cp\u003e4.4.2 Performance analysis 76\u003c\/p\u003e \u003cp\u003e4.5 Conclusion 79\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Temporary Remediation: SDN-based Application-aware Segment Routing for Large-scale Networks 81\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 81\u003c\/p\u003e \u003cp\u003e5.2 Application-aware routing mechanisms 84\u003c\/p\u003e \u003cp\u003e5.2.1 Application-aware routing 84\u003c\/p\u003e \u003cp\u003e5.2.2 Application-aware MPLS 86\u003c\/p\u003e \u003cp\u003e5.2.3 Application-aware SR 86\u003c\/p\u003e \u003cp\u003e5.3 Adaptive segment routing mechanism for encrypted traffic 87\u003c\/p\u003e \u003cp\u003e5.3.1 Overview of the SDN-based adaptive segment routing framework 87\u003c\/p\u003e \u003cp\u003e5.3.2 Network monitoring 89\u003c\/p\u003e \u003cp\u003e5.3.3 Anomaly detection 90\u003c\/p\u003e \u003cp\u003e5.3.4 Application-aware remediation 91\u003c\/p\u003e \u003cp\u003e5.4 Experimental results 95\u003c\/p\u003e \u003cp\u003e5.4.1 Experiment setup 95\u003c\/p\u003e \u003cp\u003e5.4.2 Benchmark 97\u003c\/p\u003e \u003cp\u003e5.4.3 Performance analysis 97\u003c\/p\u003e \u003cp\u003e5.5 Conclusion 104\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Root Cause Analysis and Definitive Remediation 107\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e6.1 Root cause analysis: machine learning based root cause analysis for SDN network 107\u003c\/p\u003e \u003cp\u003e6.1.1 Introduction 107\u003c\/p\u003e \u003cp\u003e6.1.2 Root cause analysis mechanisms 109\u003c\/p\u003e \u003cp\u003e6.1.3 ML-based RCA mechanism 111\u003c\/p\u003e \u003cp\u003e6.1.4 Experimental results 114\u003c\/p\u003e \u003cp\u003e6.1.5 Conclusion 119\u003c\/p\u003e \u003cp\u003e6.2 Definitive remediation: adaptive QUIC BBR algorithm using reinforcement learning for dynamic networks 121\u003c\/p\u003e \u003cp\u003e6.2.1 Introduction 121\u003c\/p\u003e \u003cp\u003e6.2.2 Congestion control mechanisms 123\u003c\/p\u003e \u003cp\u003e6.2.3 Adaptive BBR algorithm 126\u003c\/p\u003e \u003cp\u003e6.2.4 Experimental results 128\u003c\/p\u003e \u003cp\u003e6.2.5 Conclusion 133\u003c\/p\u003e \u003cp\u003eConclusions and Prospects 135\u003c\/p\u003e \u003cp\u003eReferences 141\u003c\/p\u003e \u003cp\u003eIndex 159\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electronics \u0026amp; communications engineering [\u003ca title=\"See our other books on Electronics \u0026amp; communications engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electronics%20\u0026amp;%20communications%20engineering%20%5BTJ%5D%22\"\u003eTJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-ISTE","offers":[{"title":"Brand 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