SUFYAN MUHAMMAD KHAN; HAMZA GULZAR; MUHAMMAD ESSA SIDDIQUE; ASHRAF ZIA; SHUMAILA QAMAR. DESIGN AND IMPLEMENTATION OF A MACHINE LEARNING–DRIVEN FRAMEWORK FOR REAL-TIME NETWORK TRAFFIC ANOMALY DETECTION AND INTELLIGENT CYBER THREAT IDENTIFICATION. Spectrum of Engineering Sciences, [S. l.], v. 4, n. 6, p. 681–705, 2026. Disponível em: https://thesesjournal.com/index.php/1/article/view/3138. Acesso em: 10 jun. 2026.