Intrusion Detection System (IDS) plays a critical role in maintaining network security by identifying abnormal or potentially malicious activities. However, the increasing complexity and volume of network traffic in distributed environments pose challenges for conventional detection systems in terms of accuracy and real-time capability. This study proposes an unsupervised learning-based IDS usi…