cis667_finalproject | Final Project for CIS667 - Packet Analyzer Neural Net

 by   kvnallsn Python Version: Current License: No License

kandi X-RAY | cis667_finalproject Summary

kandi X-RAY | cis667_finalproject Summary

cis667_finalproject is a Python library. cis667_finalproject has no bugs, it has no vulnerabilities and it has low support. However cis667_finalproject build file is not available. You can download it from GitHub.

Final Project for CIS667 - Packet Analyzer Neural Net Kevin Allison, kralliso@syr.edu. Requirements: Python 2.7 Theano and Keras Frameworks/Toolkits. To generate training data: ./packet.py or python packet.py . Running the main program: ./project.py or python project.py. Examples: ./packet.py data/synflood-1.pcap malicious train-2.csv ./packet.py data/SynFlood.pcap malicious train-2.csv ./packet.py data/icmp-regular.pcap safe train-2.csv ./packet.py data/icmp-dos.pcap malicious train-2.csv ./packet.py data/icmp-pingofdeath.pcap malicious train-2.csv ./packet.py data/traffic-1.pcap safe train-2.csv. ./project.py -> 1. Train Neural Net -> 2. Evaluate Neural Net -> data/web-regular.pcap -> 4. Exit.
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              cis667_finalproject has a low active ecosystem.
              It has 0 star(s) with 1 fork(s). There are 1 watchers for this library.
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              It had no major release in the last 6 months.
              cis667_finalproject has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of cis667_finalproject is current.

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              cis667_finalproject has no bugs reported.

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              cis667_finalproject has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

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              cis667_finalproject does not have a standard license declared.
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              cis667_finalproject releases are not available. You will need to build from source code and install.
              cis667_finalproject has no build file. You will be need to create the build yourself to build the component from source.

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            Install cis667_finalproject

            You can download it from GitHub.
            You can use cis667_finalproject like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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