Anomaly detection is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data

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    Need an idea and to be developed completely on machine learning

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    I have a source code which is a packet sniffer that captures data in the network traffic and put into a pcap file. - I provided the packet sniffer code below (to run type "sudo python3 ") - I want a code that will analyze the pcap file (pcap file given by my source code) and detect anomalies in it - Once an anomaly is detected a notification must appear on the PC - The anomaly-based detection and the notification feature code needs to be integrated into the packet sniffer source code (everything in one source code) -The programming language must be python3 - For Ubuntu 20.04 environment - The detection process can be done using python only or other third-party tools as well (such as Zeek, Tripwire, fail2ban etc..) either way it must be integrated into the original packe...

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