I’ve been diving deep into network traffic analysis lately and noticed how crucial it is for detecting potential threats early. For instance, using tools like Wireshark can really help you visualize unexpected data flows; has anyone else had success with specific methods or tools for spotting anomalies in their networks?
I’ve found that setting up alerts based on baseline behavior in your network can be game-changing. It helps pinpoint anomalies right away, reducing the time it takes to react. Have you tried incorporating any machine learning techniques with Wireshark to enhance your analysis?
Wireshark is fantastic for deep dives! I usually combine it with Python scripts for automated anomaly detection. Have you tried any scripting methods?