ISO-690 (author-date, English)

HUANG, Gang-Cheng und LAI, Tai-Hung, 2025. Legacy Code, Live Risk: Empirical Evidence of Malware Detection Gaps. Applied Sciences (2076-3417). 15 November 2025. Vol. 15, no. 22, p. 11862-11879. DOI 10.3390/app152211862.

Elsevier - Harvard (with titles)

Huang, G.-C., Lai, T.-H., 2025. Legacy Code, Live Risk: Empirical Evidence of Malware Detection Gaps. Applied Sciences (2076-3417) 15, 11862-11879. https://doi.org/10.3390/app152211862

American Psychological Association 7th edition

Huang, G.-C., & Lai, T.-H. (2025). Legacy Code, Live Risk: Empirical Evidence of Malware Detection Gaps. Applied Sciences (2076-3417), 15(22), 11862-11879. https://doi.org/10.3390/app152211862

Springer - Basic (author-date)

Huang G-C, Lai T-H (2025) Legacy Code, Live Risk: Empirical Evidence of Malware Detection Gaps.. Applied Sciences (2076-3417) 15:11862-11879. https://doi.org/10.3390/app152211862

Juristische Zitierweise (Stüber) (Deutsch)

Huang, Gang-Cheng/ Lai, Tai-Hung, Legacy Code, Live Risk: Empirical Evidence of Malware Detection Gaps., Applied Sciences (2076-3417) 2025, 11862-11879.

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