Vladov, S.; Vysotska, V.; Varlakhov, V.; Nazarkevych, M.; Bolvinov, S.; Piadyshev, V.
Innovative Method for Detecting Malware by Analysing API Request Sequences Based on a Hybrid Recurrent Neural Network for Applied Forensic Auditing. Appl. Syst. Innov. 2025, 8, 156.
https://doi.org/10.3390/asi8050156
AMA Style
Vladov S, Vysotska V, Varlakhov V, Nazarkevych M, Bolvinov S, Piadyshev V.
Innovative Method for Detecting Malware by Analysing API Request Sequences Based on a Hybrid Recurrent Neural Network for Applied Forensic Auditing. Applied System Innovation. 2025; 8(5):156.
https://doi.org/10.3390/asi8050156
Chicago/Turabian Style
Vladov, Serhii, Victoria Vysotska, Vitalii Varlakhov, Mariia Nazarkevych, Serhii Bolvinov, and Volodymyr Piadyshev.
2025. "Innovative Method for Detecting Malware by Analysing API Request Sequences Based on a Hybrid Recurrent Neural Network for Applied Forensic Auditing" Applied System Innovation 8, no. 5: 156.
https://doi.org/10.3390/asi8050156
APA Style
Vladov, S., Vysotska, V., Varlakhov, V., Nazarkevych, M., Bolvinov, S., & Piadyshev, V.
(2025). Innovative Method for Detecting Malware by Analysing API Request Sequences Based on a Hybrid Recurrent Neural Network for Applied Forensic Auditing. Applied System Innovation, 8(5), 156.
https://doi.org/10.3390/asi8050156