blocks|key|564205|text|如果我理解得很好，您需要创建一个程序来捕获(从活动的或传递的pcap)数据包，执行DPI，然后根据应用程序协议对它们进行分类，不是吗？|type|unstyled|depth|inlineStyleRanges|entityRanges|data|564206|首先，我建议你阅读this。|offset|length|564207|然后，您可以使用许多Python库：|564208|564209|Wireshark+API|ordered-list-item|564210|Pcapy|564211|Scapy|564212|564213|这取决于你需要在什么级别拥有细粒度的。也许你正在寻找与dpkt模块很接近的东西。|564214|entityMap|0|LINK|mutability|MUTABLE|url|http://www.bitforestinfo.com/2017/01/how-to-write-simple-packet-sniffer.html|1|https://wiki.wireshark.org/Python|2|https://www.coresecurity.com/corelabs-research/open-source-tools/pcapy|3|http://scapy.readthedocs.io/en/latest/introduction.html#about-scapy|4|http://www.commercialventvac.com/dpkt.html#mozTocId305148^0|0|9|4|0|0|0|0|0|D|1|0|0|5|2|0|0|5|3|0|0|R|4|4|0^^$0|@$1|2|3|4|5|6|7|18|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|19|8|@]|9|@$D|1A|E|1B|1|1C]]|A|$]]|$1|F|3|G|5|6|7|1D|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|1E|8|@]|9|@]|A|$]]|$1|I|3|J|5|K|7|1F|8|@]|9|@$D|1G|E|1H|1|1I]]|A|$]]|$1|L|3|M|5|K|7|1J|8|@]|9|@$D|1K|E|1L|1|1M]]|A|$]]|$1|N|3|O|5|K|7|1N|8|@]|9|@$D|1O|E|1P|1|1Q]]|A|$]]|$1|P|3|-4|5|6|7|1R|8|@]|9|@]|A|$]]|$1|Q|3|R|5|6|7|1S|8|@]|9|@$D|1T|E|1U|1|1V]]|A|$]]|$1|S|3|-4|5|6|7|1W|8|@]|9|@]|A|$]]]|T|$U|$5|V|W|X|A|$Y|Z]]|10|$5|V|W|X|A|$Y|11]]|12|$5|V|W|X|A|$Y|13]]|14|$5|V|W|X|A|$Y|15]]|16|$5|V|W|X|A|$Y|17]]]]

If I understand well, you need to create a program to catch (from live or passing pcap) packets, perform DPI and then classify them by application protocol, isn't it ?

First of all I suggest you to read <a href="http://www.bitforestinfo.com/2017/01/how-to-write-simple-packet-sniffer.html" rel="nofollow noreferrer">this</a>.

Then, you can use many Python libraries:

<ol>
<li><a href="https://wiki.wireshark.org/Python" rel="nofollow noreferrer">Wireshark API</a></li>
<li><a href="https://www.coresecurity.com/corelabs-research/open-source-tools/pcapy" rel="nofollow noreferrer">Pcapy</a></li>
<li><a href="http://scapy.readthedocs.io/en/latest/introduction.html#about-scapy" rel="nofollow noreferrer">Scapy</a></li>
</ol>

IMHO it depends at what level you need to have the fine-grained.
Maybe you are looking for something close to <a href="http://www.commercialventvac.com/dpkt.html#mozTocId305148" rel="nofollow noreferrer">dpkt</a> module.

blocks|key|564216|text|您可以使用nfstream+python包|type|unstyled|depth|inlineStyleRanges|entityRanges|data|564217|+++from+nfstream+import+NFStreamer
+++my_awesome_streamer+=+NFStreamer(source="facebook.pcap")+#+or+network+interface+(source="eth0")
+++for+flow+in+my_awesome_streamer:
+++++++print(flow)++#+print+it,+append+to+pandas+Dataframe+or+whatever+you+want+:)!|code-block|syntax|javascript|564218|entityMap^0|0|0^^$0|@$1|2|3|4|5|6|7|I|8|@]|9|@]|A|$]]|$1|B|3|C|5|D|7|J|8|@]|9|@]|A|$E|F]]|$1|G|3|-4|5|6|7|K|8|@]|9|@]|A|$]]]|H|$]]

You can use nfstream python package

<pre class="lang-py prettyprint-override"><code> from nfstream import NFStreamer
 my_awesome_streamer = NFStreamer(source="facebook.pcap") # or network interface (source="eth0")
 for flow in my_awesome_streamer:
 print(flow) # print it, append to pandas Dataframe or whatever you want :)!
</code></pre>

I need to do a dpi task on all packets entering an ubuntu server and then forward them to their destination in my local network. The server is gateway and NAT machine of local network. 

I'm writing the app in <a href="/questions/tagged/python" class="post-tag" title="show questions tagged &#39;python&#39;" rel="tag">python</a> and I don't know how to process every packet and then forward them.

How to do Deep Packet Inspection before forwarding it

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我需要对所有进入ubuntu服务器的数据包执行dpi任务，然后将它们转发到本地网络中的目的地。服务器是本地网络的网关和NAT机器。我正在用编写应用程序，我不知道如何处理每个数据包，然后转发它们。

问如何在转发前进行深度包检测
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问如何在转发前进行深度包检测EN