A brief review of phishing

Authors

DOI:

https://doi.org/10.5902/2448190471731

Keywords:

Phishing, Phishing Detection, Social Engineering, Information Security

Abstract

The number of phishing attacks reached in 2021 the highest number of all time until then, being the triple since 2020. This event demonstrates that as phishing techniques are shaped considering the context of their target since its emergence in 1995, these attacks end up adapting over time and, thus, this problem persists in society for more than 25 years and continues to increase its number of victims. With that, this work presents a study about what is phishing, its concepts, its types and the problems caused in society.

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Author Biography

Antonio S Montagner, Universidade Federal de Santa Catarina

Graduation student at the Federal University of Santa Catarina (UFSC) and fellow at PET Computação - UFSC.

References

Abroshan, H., Devos, J., Poels, G., and Laermans, E. (2021). Covid-19 and phishing:

Effects of human emotions, behavior, and demographics on the success of phishing

attempts during the pandemic. IEEE Access, 9:121916–121929.

Aleroud, A. and Zhou, L. (2017). Phishing environments, techniques, and countermeasu-

res: A survey. Computers Security, 68:160–196.

Almeida, R. A. O. C. B. d. (2022). Heuristic phishing detection based on web cra-

wling and user behaviour monitoring with a deterministic approach for cybersecurity.

PPGCC UFSC.

APWG (2021). Phishing activity trends report 4th quarter 2021. In PHISHING ACTIVITY

TRENDS REPORT 4th Quarter 2021. apwg.org.

Basit, A. e. a. (2021). A comprehensive survey of ai-enabled phishing attacks detection

techniques. Telecommunication Systems.

Chiew, K. L., Yong, K. S. C., and Tan, C. L. (2018). A survey of phishing attacks: Their

types, vectors and technical approaches. Expert Systems with Applications, 106:1–20.

Desolda, G., Ferro, L. S., Marrella, A., Catarci, T., and Costabile, M. F. (2021). Human

factors in phishing attacks: A systematic literature review. 54(8).

Hatfield, J. M. (2018). Social engineering in cybersecurity: The evolution of a concept.

Computers Security, 73:102–113.

James, L. (2006). Chapter 1 - banking on phishing. In James, L., editor, Phishing Exposed,

pages 1–35. Syngress, Burlington.

Sahingoz, O. K., Buber, E., Demir, O., and Diri, B. (2019). Machine learning based

phishing detection from urls. Expert Systems with Applications, 117:345–357.

Syafitri, W., Shukur, Z., Mokhtar, U. A., Sulaiman, R., and Ibrahim, M. A. (2022).

Social engineering attacks prevention: A systematic literature review. IEEE Access,

:39325–39343.

Published

2022-11-18

How to Cite

Montagner, A. S., & Westphall, C. M. (2022). A brief review of phishing. Revista ComInG - Communications and Innovations Gazette, 6(1), 46–56. https://doi.org/10.5902/2448190471731

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