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Cloud Based Encrypted Traffic Analysis System Using Netflow Information

Authors:
Jung Tae Kim
Jong-Hyun Kim
Ikkyun Kim
Koohong Kang

Keywords: HTTP Get Flooding; Netflow; DDoS Attack;

Abstract:
The paper proposes an encrypted traffic analysis system in cloud network environment. In cloud computing, various services are driven by Virtual Machines (VM), and the most of common application are currently using an encryption methods for the public communication. We propose a method for generating netflow and session information for each VM in various cloud based machines and analyzing encrypted traffic, such as SSL / TLS sessions. The proposed traffic analysis system further helps to detect a web-based HTTPS attack traffic or DDoS traffic by analyzing characteristics of the corresponding encrypted traffics in real time.

Pages: 16 to 17

Copyright: Copyright (c) IARIA, 2018

Publication date: October 14, 2018

Published in: conference

ISSN: 2326-9286

ISBN: 978-1-61208-674-3

Location: Nice, France

Dates: from October 14, 2018 to October 18, 2018