NASEEM AFZAL QURESHI; SANA BATOOL; MUHAMMAD ALI KHAN; MUHAMMAD ZOHAIB KHAN; MUQADDAS SALAHUDDIN; HUSSAIN BUX MARRI; FAISAL HASSAN. ASSESSMENT OF HYBRID MACHINE LEARNING ALGORITHMS FOR INTRUSION ANOMALY DETECTION IN CYBERSECURITY USING MATHEMATICAL MODELLING AND SIMULATION. Spectrum of Engineering Sciences, [S. l.], v. 4, n. 3, p. 2494–2520, 2026. Disponível em: https://thesesjournal.com/index.php/1/article/view/3486. Acesso em: 27 aug. 2026.