A Systematic Review for Misuses Attack Detection based on Data Mining in NFV

Nebras Ibrahim; Ahmed Abbas; Farah Khorsheed

doi:10.35377/saucis...1379047

EN

A Systematic Review for Misuses Attack Detection based on Data Mining in NFV

Abstract

Network Function Virtualization could be a quickly advancing innovation that guarantees to revolutionize the way networks are planned, sent, and overseen. However, as with any modern innovation, there are potential security risk that must be tended to guarantee the security of the network. Misuses attacks are one such risk that can compromise the security and integrity of NFV frameworks. In recently years , data mining has risen as a promising approach for recognizing misuses attacks in NFV systems. This systematic mapping ponders points to supply an overview of the existing research on misuses attack detection based on data mining in NFV. Particularly, the study will recognize and analyze the research conducted in this region, counting the sorts of data mining methods utilized, the types of misuses attacks identified, and the assessment strategies utilized. The results of this study will give experiences into the current state of investigate on misuses attack detection based on data mining in NFV, as well as recognize gaps and openings for future research in this range. Also, the study will serve as an important asset for analysts and professionals looking for to create successful and effective methods for recognizing misuses attacks in NFV frameworks

Keywords

References

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Nebras Ibrahim
0000-0002-8486-5719
Iraq

Ahmed Abbas ^*
0000-0001-9514-6763
Iraq

Farah Khorsheed
0009-0007-0087-3038
Iraq

Early Pub Date

December 27, 2023

Publication Date

December 31, 2023

Submission Date

October 20, 2023

Acceptance Date

December 20, 2023

Published in Issue

Year 2023 Volume: 6 Number: 3

DOI

https://doi.org/10.35377/saucis...1379047

IZ

https://izlik.org/JA83SC74TB

Cite

RIS / Bibtex

APA

Ibrahim, N., Abbas, A., & Khorsheed, F. (2023). A Systematic Review for Misuses Attack Detection based on Data Mining in NFV. Sakarya University Journal of Computer and Information Sciences, 6(3), 239-252. https://doi.org/10.35377/saucis...1379047

AMA

1.Ibrahim N, Abbas A, Khorsheed F. A Systematic Review for Misuses Attack Detection based on Data Mining in NFV. SAUCIS. 2023;6(3):239-252. doi:10.35377/saucis.1379047

Chicago

Ibrahim, Nebras, Ahmed Abbas, and Farah Khorsheed. 2023. “A Systematic Review for Misuses Attack Detection Based on Data Mining in NFV”. Sakarya University Journal of Computer and Information Sciences 6 (3): 239-52. https://doi.org/10.35377/saucis. 1379047.

EndNote

Ibrahim N, Abbas A, Khorsheed F (December 1, 2023) A Systematic Review for Misuses Attack Detection based on Data Mining in NFV. Sakarya University Journal of Computer and Information Sciences 6 3 239–252.

IEEE

[1]N. Ibrahim, A. Abbas, and F. Khorsheed, “A Systematic Review for Misuses Attack Detection based on Data Mining in NFV”, SAUCIS, vol. 6, no. 3, pp. 239–252, Dec. 2023, doi: 10.35377/saucis...1379047.

ISNAD

Ibrahim, Nebras - Abbas, Ahmed - Khorsheed, Farah. “A Systematic Review for Misuses Attack Detection Based on Data Mining in NFV”. Sakarya University Journal of Computer and Information Sciences 6/3 (December 1, 2023): 239-252. https://doi.org/10.35377/saucis. 1379047.

JAMA

1.Ibrahim N, Abbas A, Khorsheed F. A Systematic Review for Misuses Attack Detection based on Data Mining in NFV. SAUCIS. 2023;6:239–252.

MLA

Ibrahim, Nebras, et al. “A Systematic Review for Misuses Attack Detection Based on Data Mining in NFV”. Sakarya University Journal of Computer and Information Sciences, vol. 6, no. 3, Dec. 2023, pp. 239-52, doi:10.35377/saucis. 1379047.

Vancouver

1.Nebras Ibrahim, Ahmed Abbas, Farah Khorsheed. A Systematic Review for Misuses Attack Detection based on Data Mining in NFV. SAUCIS. 2023 Dec. 1;6(3):239-52. doi:10.35377/saucis. 1379047