AnomalyX: An Adaptive Threat Detection System Using Retrieval-Augmented Generation and Advanced Time-Series Analytics

This dataset contains network connection and traffic analysis data with approximately 25-30 records. The data includes source and destination IP addresses (primarily in the 59.166.x.x and 175.45.x.x ranges), along with port information and protocol details (UDP, ARP, TCP). Key metrics captured include connection states (CON, INT, FIN), byte transfers in both directions (sbytes, dbytes), packet counts, and timing information (sttl, dttl). The dataset appears to focus on UDP connections (53 appears frequently, suggesting DNS traffic) with various connection states and data transfer volumes. Service classifications include DNS and HTTP traffic, with load measurements (sload, dload) and statistical features. Additional fields capture network behavior patterns including packet loss indicators, service response times, and connection duration metrics. The data structure suggests this could be from network security monitoring, intrusion detection systems, or general network performance analysis. The presence of both internal (10.40.x.x) and external IP ranges indicates monitoring of network boundary traffic, making it potentially valuable for cybersecurity research, network optimization studies, or anomaly detection applications.