04243nam a22005775i 4500 978-3-031-62909-9 DE-He213 20251030112649.0 cr nn 008mamaa 240725s2024 sz | s |||| 0|eng d 9783031629099 978-3-031-62909-9 10.1007/978-3-031-62909-9 doi QA268 GPJ bicssc URY bicssc COM083000 bisacsh GPJ thema URY thema Cherukuri, Aswani Kumar. author. aut http://id.loc.gov/vocabulary/relators/aut 81252 Encrypted Network Traffic Analysis [electronic resource] / by Aswani Kumar Cherukuri, Sumaiya Thaseen Ikram, Gang Li, Xiao Liu. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XII, 99 p. 27 illus., 14 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda SpringerBriefs in Computer Science, 2191-5776 Preface -- Acknowledgement -- Chapter 1 Introduction -- Chapter 2 Encrypted Network Traffic Analysis -- Chapter 3 Classification of Encrypted Network Traffic -- Chapter 4 Detection of Anomalous Encrypted Traffic -- Chapter 5 AI based Approaches for Anomaly Detection. This book provides a detailed study on sources of encrypted network traffic, methods and techniques for analyzing, classifying and detecting the encrypted traffic. The authors provide research findings and objectives in the first 5 chapters, on encrypted network traffic, protocols and applications of the encrypted network traffic. The authors also analyze the challenges and issues with encrypted network traffic. It systematically introduces the analysis and classification of encrypted traffic and methods in detecting the anomalies in encrypted traffic. The effects of traditional approaches of encrypted traffic, such as deep packet inspection and flow based approaches on various encrypted traffic applications for identifying attacks is discussed as well. This book presents intelligent techniques for analyzing the encrypted network traffic and includes case studies. The first chapter also provides fundamentals of network traffic analysis, anomalies in the network traffic, protocols for encrypted network traffic. The second chapter presents an overview of the challenges and issues with encrypted network traffic and the new threat vectors introduced by the encrypted network traffic. Chapter 3 provides details analyzing the encrypted network traffic and classification of various kinds of encrypted network traffic. Chapter 4 discusses techniques for detecting attacks against encrypted protocols and chapter 5 analyzes AI based approaches for anomaly detection. Researchers and professionals working in the related field of Encrypted Network Traffic will purchase this book as a reference. Advanced-level students majoring in computer science will also find this book to be a valuable resource. Cryptography. 64299 Data encryption (Computer science). 58243 Computer networks Security measures. 63949 Cryptology. 66491 Mobile and Network Security. 66379 Ikram, Sumaiya Thaseen. author. aut http://id.loc.gov/vocabulary/relators/aut 81253 Li, Gang. author. aut http://id.loc.gov/vocabulary/relators/aut 77621 Liu, Xiao. author. aut http://id.loc.gov/vocabulary/relators/aut 81254 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031629082 Printed edition: 9783031629105 SpringerBriefs in Computer Science, 2191-5776 66578 https://doi.org/10.1007/978-3-031-62909-9 ZDB-2-SCS ZDB-2-SXCS 61901 61901