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Encrypted network traffic analysis

Cherukuri, Aswani Kumar.

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Encrypted network traffic analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Encrypted network traffic analysis/ by Aswani Kumar Cherukuri ... [et al.].
other author:	Cherukuri, Aswani Kumar.
Published:	Cham :Springer International Publishing : : 2024.,
Description:	xii, 99 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer Nature eBook
Subject:	Computer networks - Security measures. -
Online resource:	https://doi.org/10.1007/978-3-031-62909-9
ISBN:	9783031629099

Encrypted network traffic analysis
Encrypted network traffic analysis[electronic resource] /by Aswani Kumar Cherukuri ... [et al.]. - Cham :Springer International Publishing :2024. - xii, 99 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in computer science,2191-5776. - SpringerBriefs in computer science..

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.

ISBN: 9783031629099

Standard No.: 10.1007/978-3-031-62909-9doiSubjects--Topical Terms:

579161
Computer networks
--Security measures.

LC Class. No.: TK5105.59

Dewey Class. No.: 005.8

Encrypted network traffic analysis
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300 $a xii, 99 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in computer science, $x 2191-5776
505 0 $a 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.
520 $a 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.
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