TY  - BOOK
AU  - Cherukuri,Aswani Kumar
AU  - Ikram,Sumaiya Thaseen
AU  - Li,Gang
AU  - Liu,Xiao
ED  - SpringerLink (Online service)
TI  - Encrypted Network Traffic Analysis
T2  - SpringerBriefs in Computer Science,
SN  - 9783031629099
AV  - QA268 
U1  - 005.824 23
PY  - 2024///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Cryptography
KW  - Data encryption (Computer science)
KW  - Computer networks
KW  - Security measures
KW  - Cryptology
KW  - Mobile and Network Security
N1  - 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
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-3-031-62909-9
ER  -