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Simulate log system for input in a neural network
What's the difference between raw_input() and input() in python3.x?Asking the user for input until they give a valid responseClient timeout with asyncio.ProtocolWrong input shape to neural network layerbackpropogation in convolutional neural networkUsing matrices as input to convolutional neural networkPython: Unit test case shows no error if login does not workWebscrapping with Python3.7: ConnectionError: HTTPSConnectionPool(host='www.google.com', port=443):Find Most Important Input from a Neural NetworkInput and Output of the Convolutional Neural Network is a 3D matrix
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I have a log file that has been captured from some system and I would like to simulate the log stream with the timestamps included already in the file like they are produced from a virtual server running on my laptop. So after that I can input each line (in fact each log event happening) in a neural network for classification. Is it possible to happen in some way? And I would like this to be done using python.
The log file is in this format:
Dec 10 06:55:46 LabSZ sshd[24200]: reverse mapping checking getaddrinfo for ns.marryaldkfaczcz.com [173.234.31.186] failed - POSSIBLE BREAK-IN ATTEMPT!
Dec 10 06:55:46 LabSZ sshd[24200]: Invalid user webmaster from 173.234.31.186
Dec 10 06:55:46 LabSZ sshd[24200]: input_userauth_request: invalid user webmaster [preauth]
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): check pass; user unknown
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): authentication failure; logname= uid=0 euid=0 tty=ssh ruser= rhost=173.234.31.186
Dec 10 06:55:48 LabSZ sshd[24200]: Failed password for invalid user webmaster from 173.234.31.186 port 38926 ssh2
Dec 10 06:55:48 LabSZ sshd[24200]: Connection closed by 173.234.31.186 [preauth]
Dec 10 07:02:47 LabSZ sshd[24203]: Connection closed by 212.47.254.145 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: Invalid user test9 from 52.80.34.196
Dec 10 07:07:38 LabSZ sshd[24206]: input_userauth_request: invalid user test9 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: pam_unix(sshd:auth): check pass; user unknown
python-3.x
add a comment |
I have a log file that has been captured from some system and I would like to simulate the log stream with the timestamps included already in the file like they are produced from a virtual server running on my laptop. So after that I can input each line (in fact each log event happening) in a neural network for classification. Is it possible to happen in some way? And I would like this to be done using python.
The log file is in this format:
Dec 10 06:55:46 LabSZ sshd[24200]: reverse mapping checking getaddrinfo for ns.marryaldkfaczcz.com [173.234.31.186] failed - POSSIBLE BREAK-IN ATTEMPT!
Dec 10 06:55:46 LabSZ sshd[24200]: Invalid user webmaster from 173.234.31.186
Dec 10 06:55:46 LabSZ sshd[24200]: input_userauth_request: invalid user webmaster [preauth]
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): check pass; user unknown
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): authentication failure; logname= uid=0 euid=0 tty=ssh ruser= rhost=173.234.31.186
Dec 10 06:55:48 LabSZ sshd[24200]: Failed password for invalid user webmaster from 173.234.31.186 port 38926 ssh2
Dec 10 06:55:48 LabSZ sshd[24200]: Connection closed by 173.234.31.186 [preauth]
Dec 10 07:02:47 LabSZ sshd[24203]: Connection closed by 212.47.254.145 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: Invalid user test9 from 52.80.34.196
Dec 10 07:07:38 LabSZ sshd[24206]: input_userauth_request: invalid user test9 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: pam_unix(sshd:auth): check pass; user unknown
python-3.x
Could you please be more specific on how you want the lines to be classified?
– Soumik Rakshit
Mar 26 at 11:31
1
this is not exactly the problem for now but I would like to input them in time windows (dont know the exact time window yet). I would like at first to simulate the stream in order to be fed later in a lstm probably.
– panos salteris
Mar 26 at 11:45
add a comment |
I have a log file that has been captured from some system and I would like to simulate the log stream with the timestamps included already in the file like they are produced from a virtual server running on my laptop. So after that I can input each line (in fact each log event happening) in a neural network for classification. Is it possible to happen in some way? And I would like this to be done using python.
The log file is in this format:
Dec 10 06:55:46 LabSZ sshd[24200]: reverse mapping checking getaddrinfo for ns.marryaldkfaczcz.com [173.234.31.186] failed - POSSIBLE BREAK-IN ATTEMPT!
Dec 10 06:55:46 LabSZ sshd[24200]: Invalid user webmaster from 173.234.31.186
Dec 10 06:55:46 LabSZ sshd[24200]: input_userauth_request: invalid user webmaster [preauth]
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): check pass; user unknown
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): authentication failure; logname= uid=0 euid=0 tty=ssh ruser= rhost=173.234.31.186
Dec 10 06:55:48 LabSZ sshd[24200]: Failed password for invalid user webmaster from 173.234.31.186 port 38926 ssh2
Dec 10 06:55:48 LabSZ sshd[24200]: Connection closed by 173.234.31.186 [preauth]
Dec 10 07:02:47 LabSZ sshd[24203]: Connection closed by 212.47.254.145 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: Invalid user test9 from 52.80.34.196
Dec 10 07:07:38 LabSZ sshd[24206]: input_userauth_request: invalid user test9 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: pam_unix(sshd:auth): check pass; user unknown
python-3.x
I have a log file that has been captured from some system and I would like to simulate the log stream with the timestamps included already in the file like they are produced from a virtual server running on my laptop. So after that I can input each line (in fact each log event happening) in a neural network for classification. Is it possible to happen in some way? And I would like this to be done using python.
The log file is in this format:
Dec 10 06:55:46 LabSZ sshd[24200]: reverse mapping checking getaddrinfo for ns.marryaldkfaczcz.com [173.234.31.186] failed - POSSIBLE BREAK-IN ATTEMPT!
Dec 10 06:55:46 LabSZ sshd[24200]: Invalid user webmaster from 173.234.31.186
Dec 10 06:55:46 LabSZ sshd[24200]: input_userauth_request: invalid user webmaster [preauth]
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): check pass; user unknown
Dec 10 06:55:46 LabSZ sshd[24200]: pam_unix(sshd:auth): authentication failure; logname= uid=0 euid=0 tty=ssh ruser= rhost=173.234.31.186
Dec 10 06:55:48 LabSZ sshd[24200]: Failed password for invalid user webmaster from 173.234.31.186 port 38926 ssh2
Dec 10 06:55:48 LabSZ sshd[24200]: Connection closed by 173.234.31.186 [preauth]
Dec 10 07:02:47 LabSZ sshd[24203]: Connection closed by 212.47.254.145 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: Invalid user test9 from 52.80.34.196
Dec 10 07:07:38 LabSZ sshd[24206]: input_userauth_request: invalid user test9 [preauth]
Dec 10 07:07:38 LabSZ sshd[24206]: pam_unix(sshd:auth): check pass; user unknown
python-3.x
python-3.x
edited Mar 26 at 12:03
panos salteris
asked Mar 26 at 11:24
panos salterispanos salteris
143 bronze badges
143 bronze badges
Could you please be more specific on how you want the lines to be classified?
– Soumik Rakshit
Mar 26 at 11:31
1
this is not exactly the problem for now but I would like to input them in time windows (dont know the exact time window yet). I would like at first to simulate the stream in order to be fed later in a lstm probably.
– panos salteris
Mar 26 at 11:45
add a comment |
Could you please be more specific on how you want the lines to be classified?
– Soumik Rakshit
Mar 26 at 11:31
1
this is not exactly the problem for now but I would like to input them in time windows (dont know the exact time window yet). I would like at first to simulate the stream in order to be fed later in a lstm probably.
– panos salteris
Mar 26 at 11:45
Could you please be more specific on how you want the lines to be classified?
– Soumik Rakshit
Mar 26 at 11:31
Could you please be more specific on how you want the lines to be classified?
– Soumik Rakshit
Mar 26 at 11:31
1
1
this is not exactly the problem for now but I would like to input them in time windows (dont know the exact time window yet). I would like at first to simulate the stream in order to be fed later in a lstm probably.
– panos salteris
Mar 26 at 11:45
this is not exactly the problem for now but I would like to input them in time windows (dont know the exact time window yet). I would like at first to simulate the stream in order to be fed later in a lstm probably.
– panos salteris
Mar 26 at 11:45
add a comment |
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Could you please be more specific on how you want the lines to be classified?
– Soumik Rakshit
Mar 26 at 11:31
1
this is not exactly the problem for now but I would like to input them in time windows (dont know the exact time window yet). I would like at first to simulate the stream in order to be fed later in a lstm probably.
– panos salteris
Mar 26 at 11:45