aspg-2-2382-1791417451 20261007235731 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Cybersecurity and Information Management JCIM 2769-7851 2690-6775 2024 13 1 Khder Alakkari Department of Statistics and Programming, Faculty of Economics, University of Tishreen, Latakia, P.O. Box 2230, Syria Alhumaima Ali Subhi Department of Food and Biotechnology, South Ural State University, 454080 Chelyabinsk Hussein Alkattan Electronic and Computer Center, University of Diyala, Baqubah MJJ2+R9G, Iraq Ammar Kadi Department of System Programming, South Ural State University, 454080 Chelyabinsk, Russia Artem Malinin Department of System Programming, South Ural State University, 454080 Chelyabinsk, Russia Irina Potoroko Department of System Programming, South Ural State University, 454080 Chelyabinsk, Russia Mostafa Abotaleb Electronic and Computer Center, University of Diyala, Baqubah MJJ2+R9G, El-Sayed M El-kenawy Department of Communications and Electronics, Delta Higher Institute of Engineering and Technology, Mansoura 35111, Egypt This research is concerned with the critical domain of cybersecurity in edge computing environments, which aims to strengthen defenses against increasing cyber threats that target interconnected Internet of Things (IoT) devices. The widespread adoption of edge computing introduces vulnerabilities that necessitate a strong framework for detecting cyberattacks. This study utilizes Long Short-Term Memory (LSTM) networks to present a comprehensive approach based on stacked LSTM layers for detecting and mitigating cyber threats in the dynamic landscape of edge networks. Using the NSL-KDD dataset and rigorous experimentation, this model demonstrates its ability to detect subtle anomalies in network traffic, which can be used to accurately classify malicious activities while minimizing false alarms. The findings highlight the potential of LSTM-based approaches to enhance security at the edge, providing promising avenues for strengthening IoT ecosystems’ integrity and resilience against emerging cyber threats. 2024 69 75 2382 https://creativecommons.org/licenses/by/4.0/ 10.54216/JCIM.130107 https://www.americaspg.com/journal/2/article/2382 https://www.americaspg.com/storage/21704389360.pdf