Dataset of attacks on a live enterprise VoIP network for machine learning based intrusion detection and prevention systems-Reference-Cited by-同舟云学术

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Dataset of attacks on a live enterprise VoIP network for machine learning based intrusion detection and prevention systems

Published:2021-10 Issue: Volume:197 Page:108283
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Alvares Christabelle,Dinesh Dristi,Alvi Syed,Gautam Tannish,Hasib Maheen,Raza Ali

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference17 articles.

1. Sangoma Technologies, “Asterisk IP-PBX,” 2020. https://www.asterisk.org/products/ip-pbx/.

2. Radu State, “Labeled VoIP Data-set for Intrusion Detection Evaluation”;Mohamed Nassar,2010

3. A survey on registration hijacking attack consequences and protection for session initiation protocol (SIP);Naeem;Comput. Netw.,2020

4. “VoIPFD: voice over IP flooding detection”;Golait,2016

5. A framework for detecting anomalies in VoIP networks”;Bouzida,2008

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SIP-DDoS: SIP Framework for DDoS Intrusion Detection Based on Recurrent Neural Networks;Lecture Notes in Computer Science;2024

2. Detecting SPIT Attacks in VoIP Networks Using Convolutional Autoencoders: A Deep Learning Approach;Applied Sciences;2023-06-09

3. Performance based active early warning algorithm and system for mobile communication VoIP core network;2022 International Conference on Artificial Intelligence in Everything (AIE);2022-08

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