Using Application-Aware Flow Monitoring for SIP Fraud Detection

Author:

Cejka Tomas,Bartos Vaclav,Truxa Lukas,Kubatova Hana

Publisher

Springer International Publishing

Reference15 articles.

1. Bartos, V., Zadnik, M., Cejka, T.: Nemea: Framework for stream-wise analysis of network traffic. Tech. rep., CESNET (2013)

2. CESNET: Nemea, https://www.liberouter.org/nemea/

3. Claise, B., et al.: Specification of the IP Flow Information Export (IPFIX) Protocol for the Exchange of Flow Information. RFC 7011 (September 2013)

4. Communications Fraud Control Association: 2013 CFCA Global Fraud Loss Survey. Press release (October 2013), http://www.cfca.org/pdf/survey/CFCA2013GlobalFraudLossSurvey-pressrelease.pdf

5. LNICST;F. El-moussa,2010

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1. Refined Detection of SSH Brute-Force Attackers Using Machine Learning;ICT Systems Security and Privacy Protection;2020

2. Security Monitoring of IoT Communication Using Flows;Proceedings of the 6th Conference on the Engineering of Computer Based Systems;2019-09-02

3. Hunting SIP Authentication Attacks Efficiently;Lecture Notes in Computer Science;2017

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