Traffic classification for managing Applications’ networking profiles-Reference-Cited by-同舟云学术

Traffic classification for managing Applications’ networking profiles

Published:2016-07-04 Issue:14 Volume:9 Page:2557-2575
ISSN:1939-0114
Container-title:Security and Communication Networks
language:en
Short-container-title:Security Comm. Networks

Author:

Alizadeh Hassan¹,Zúquete André¹²

Affiliation:

1. IEETA; Univ. of Aveiro; Aveiro Portugal

2. Dep. of Electronics, Telecommunications and Informatics

Publisher

Wiley

Subject

Computer Networks and Communications,Information Systems

Reference75 articles.

1. Stokes J W Platt J C Kravis J Shilman M ALADIN: Active learning of anomalies to detect intrusions Technique Report Microsoft Network Security Redmond 2008

2. Valdes A Detecting novel scans through pattern anomaly detection DARPA Information Survivability Conference and Exposition, 2003. Proceedings 2003 1

3. Zúquete A Rocha M Identification of source applications for enhanced traffic analysis and anomaly detection IEEE International Conference on Communications (ICC) 2012

4. Zúquete A Correia P [Sham]Alizadeh H Packet tagging system for enhanced traffic profiling IEEE 5th International Conference on Internet Multimedia Systems Architecture and Application (IMSAA) 2011

5. Baker F Foster B Sharp C Cisco architecture for lawful intercept in IP networks Internet Engineering Task Force, RFC-3924 2004

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