ISO-690 (author-date, English)

ZOGAJ, Gani, ISMAILI, Florie, IDRIZI, Ermira und LUMA, Artan, 2025. Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency. SEEU Review. 1 Juni 2025. Vol. 20, no. 1, p. 136-152. DOI 10.2478/seeur-2025-0021.

Elsevier - Harvard (with titles)

Zogaj, G., Ismaili, F., Idrizi, E., Luma, A., 2025. Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency. SEEU Review 20, 136-152. https://doi.org/10.2478/seeur-2025-0021

American Psychological Association 7th edition

Zogaj, G., Ismaili, F., Idrizi, E., & Luma, A. (2025). Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency. SEEU Review, 20(1), 136-152. https://doi.org/10.2478/seeur-2025-0021

Springer - Basic (author-date)

Zogaj G, Ismaili F, Idrizi E, Luma A (2025) Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency.. SEEU Review 20:136-152. https://doi.org/10.2478/seeur-2025-0021

Juristische Zitierweise (Stüber) (Deutsch)

Zogaj, Gani/ Ismaili, Florie/ Idrizi, Ermira/ Luma, Artan, Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency., SEEU Review 2025, 136-152.

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