Efficient Detection of Spam Over Internet Telephony by Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Efficient Detection of Spam Over Internet Telephony by Machine Learning Algorithms

Published:2022 Issue: Volume:10 Page:133412-133426
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Behan Ladislav¹^ORCID,Rozhon Jan¹,Safarik Jakub²^ORCID,Rezac Filip¹,Voznak Miroslav¹^ORCID

Affiliation:

1. Department of Telecommunications, Faculty of Electrical Engineering and Computer Science, VSB—Technical University of Ostrava, Ostrava, Czechia

2. IT4Innovations National Supercomputing Center, VSB—Technical University of Ostrava, Ostrava, Czechia

Funder

European Regional Development Fund under the project AI and Reasoning

Czech Ministry of Education, Youth and Sports within project

VSB—Technical University of Ostrava through the Large Infrastructures for Research, Experimental Development and Innovations Project ”e-Infrastructure CZ”

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09996400.pdf?arnumber=9996400

Reference41 articles.

1. Augmenting Telephone Spam Blacklists by Mining Large CDR Datasets

2. Reducing the run-time complexity in support vector machines;osuna;Advances in Kernel Methods Support Vector Learning,1999

3. You can SPIT, but you can't hide: Spammer identification in telephony networks

4. Novel Unsupervised SPITters Detection Scheme by Automatically Solving Unbalanced Situation

5. On Spam over Internet Telephony (SPIT) Prevention

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