A Description Logic Ontology for Email Phishing

Franklin Tchakounté; Djeguedem Molengar; Justin Moskolai Ngossaha

A Description Logic Ontology for Email Phishing

Abstract

Phishing detection is an area of identifying malicious activities designed by phishers to lure users providing sensitive information. Existing anti-phishing systems use blacklists based on specific parameters, characterize attacker’s activities with artificial and computational approaches and educate users. The development and maintenance of these systems is hard and costly because of the polymorphic nature of phishing techniques. Phishing attacks are able to scam humans with insufficient knowledge, while countermeasures focus on specific characteristics to make decisions. Defining formal approaches for representing and reasoning knowledge in anti-phishing systems is therefore a concern. This work deals with this issue by proposing formalized description logic to build the knowledge base of phishing attacks. It additionally designs an ontology-oriented approach to add semantics on that knowledge. The ontology model has been proven consistent and satisfiable. Experimentations on case studies demonstrate the ability of the proposed model to represent knowledge attack scenarios. A comparison with state-of-the-art researches shows that the proposed formalism is more adequate to characterize phishing semantics. This work could successfully complement anti-phishing systems.

Keywords

Description logic, Ontology, Phishing

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Details

Primary Language

English

Subjects

-

Journal Section

-

Authors

Franklin Tchakounté This is me

Djeguedem Molengar This is me

Justin Moskolai Ngossaha This is me

Publication Date

March 1, 2020

Submission Date

-

Acceptance Date

-

Published in Issue

Year 2020 Volume: 9 Number: 1

IZ

https://izlik.org/JA83AR55HK

Cite

RIS / Bibtex

APA

Tchakounté, F., Molengar, D., & Ngossaha, J. M. (2020). A Description Logic Ontology for Email Phishing. International Journal of Information Security Science, 9(1), 44-63. https://izlik.org/JA83AR55HK

AMA

1.Tchakounté F, Molengar D, Ngossaha JM. A Description Logic Ontology for Email Phishing. IJISS. 2020;9(1):44-63. https://izlik.org/JA83AR55HK

Chicago

Tchakounté, Franklin, Djeguedem Molengar, and Justin Moskolai Ngossaha. 2020. “A Description Logic Ontology for Email Phishing”. International Journal of Information Security Science 9 (1): 44-63. https://izlik.org/JA83AR55HK.

EndNote

Tchakounté F, Molengar D, Ngossaha JM (March 1, 2020) A Description Logic Ontology for Email Phishing. International Journal of Information Security Science 9 1 44–63.

IEEE

[1]F. Tchakounté, D. Molengar, and J. M. Ngossaha, “A Description Logic Ontology for Email Phishing”, IJISS, vol. 9, no. 1, pp. 44–63, Mar. 2020, [Online]. Available: https://izlik.org/JA83AR55HK

ISNAD

Tchakounté, Franklin - Molengar, Djeguedem - Ngossaha, Justin Moskolai. “A Description Logic Ontology for Email Phishing”. International Journal of Information Security Science 9/1 (March 1, 2020): 44-63. https://izlik.org/JA83AR55HK.

JAMA

1.Tchakounté F, Molengar D, Ngossaha JM. A Description Logic Ontology for Email Phishing. IJISS. 2020;9:44–63.

MLA

Tchakounté, Franklin, et al. “A Description Logic Ontology for Email Phishing”. International Journal of Information Security Science, vol. 9, no. 1, Mar. 2020, pp. 44-63, https://izlik.org/JA83AR55HK.

Vancouver

1.Franklin Tchakounté, Djeguedem Molengar, Justin Moskolai Ngossaha. A Description Logic Ontology for Email Phishing. IJISS [Internet]. 2020 Mar. 1;9(1):44-63. Available from: https://izlik.org/JA83AR55HK