Network Data Generation using IP2Vec Embedding

Minji Kim; Migyeong Kang; Eunil Park; Sangheon Pack; Jinyoung Han

doi:10.1109/ICTC58733.2023.10393857

Network Data Generation using IP2Vec Embedding

Minji Kim, Migyeong Kang, Eunil Park, Sangheon Pack, Jinyoung Han

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Network data generation is crucial in applying deep learning techniques for predicting and managing 5G/6G networks. In this paper, we propose to incorporate IP2Vec in generative adversarial networks (GAN)-based network data generation models. Our evaluation demonstrates that utilizing IP2Vec can effectively enhance the performance of GANs in generating network data.

Original language	English
Title of host publication	ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence
Subtitle of host publication	Exploring the Frontiers of ICT Innovation
Publisher	IEEE Computer Society
Pages	872-874
Number of pages	3
ISBN (Electronic)	9798350313277
DOIs	https://doi.org/10.1109/ICTC58733.2023.10393857
Publication status	Published - 2023
Event	14th International Conference on Information and Communication Technology Convergence, ICTC 2023 - Jeju Island, Korea, Republic of Duration: 2023 Oct 11 → 2023 Oct 13

Publication series

Name	International Conference on ICT Convergence
ISSN (Print)	2162-1233
ISSN (Electronic)	2162-1241

Conference

Conference	14th International Conference on Information and Communication Technology Convergence, ICTC 2023
Country/Territory	Korea, Republic of
City	Jeju Island
Period	23/10/11 → 23/10/13

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

5G/6G networks
generative adversarial networks
IP2Vec
network data generation

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

Access to Document

10.1109/ICTC58733.2023.10393857

Cite this

Kim, M., Kang, M., Park, E., Pack, S., & Han, J. (2023). Network Data Generation using IP2Vec Embedding. In ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation (pp. 872-874). (International Conference on ICT Convergence). IEEE Computer Society. https://doi.org/10.1109/ICTC58733.2023.10393857

Network Data Generation using IP2Vec Embedding. / Kim, Minji; Kang, Migyeong; Park, Eunil et al.
ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation. IEEE Computer Society, 2023. p. 872-874 (International Conference on ICT Convergence).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Kim, M, Kang, M, Park, E, Pack, S & Han, J 2023, Network Data Generation using IP2Vec Embedding. in ICTC 2023 - 14th International Conference on Information and Communication Technology Convergence: Exploring the Frontiers of ICT Innovation. International Conference on ICT Convergence, IEEE Computer Society, pp. 872-874, 14th International Conference on Information and Communication Technology Convergence, ICTC 2023, Jeju Island, Korea, Republic of, 23/10/11. https://doi.org/10.1109/ICTC58733.2023.10393857

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keywords = "5G/6G networks, generative adversarial networks, IP2Vec, network data generation",

author = "Minji Kim and Migyeong Kang and Eunil Park and Sangheon Pack and Jinyoung Han",

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Network Data Generation using IP2Vec Embedding

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this