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29 lines
1.2 KiB
Markdown
29 lines
1.2 KiB
Markdown
# Data filtering, preprocessing and selection for further use
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- IP packet traces are taken [from here](https://mawi.wide.ad.jp/mawi/samplepoint-F/2023/)
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- Filtering
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- L4 - Limit to TCP and UDP
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- L3 - IPv6 is only around 10%, let's drop it
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- Selection of fields:
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- Timestamp
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- capture window is from 0500-0515 UTC
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- nanosecond precision, use `DateTime64` data type in ClickHouse
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- IP
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- addresses - src, dst
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- L4 protocol - TCP, UDP. use `Enum` data type in ClickHouse
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- TCP/UDP - ports - sport, dport
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- Packet size - in bytes
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- `sample_output.csv` contains a partial subset of `202310081400.pcap`, ~600K packets
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# Streaming from pcap file using Kafka
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- Run pcap_processor.py file
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- Arguments
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- -f or --pcap_file: pcap file path, mandatory argument
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- -o or --out_file: output csv file path
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- -x or --sample: boolean value indicating if data has to be sampled
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- -s or --stream: boolean value indicating if kafka streaming should happen
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- --stream_size: integer indicating number of sampled packets
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- -d or --debug: boolean value indicating if program is run in debug mode
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python pcap_processor.py -f C:/Users/akash/storage/Asu/sem3/dds/project/202310081400.pcap -s --sample-size 1000 |