Simulate log system for input in a neural networkWhat'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

A Real World Example for Divide and Conquer Method

Why didn't Balak request Bilam to bless his own people?

Why should fork() have been designed to return a file descriptor?

What is the simplest instruction set that has a C++/C compiler to write an emulator for?

Project Euler # 25 The 1000 digit Fibonacci index

How can electronics on board JWST survive the low operating temperature while it's difficult to survive lunar nights?

Linearize or approximate a square root constraint

Nilpotent elements of Lie algebra and unipotent groups

Counting multiples of 3 up to a given number

How should I interpret a promising preprint that was never published in a peer-reviewed journal?

What does a Nintendo Game Boy do when turned on without a game cartridge inserted?

Brute-force the switchboard

Is this guy trying to scam me?

Could Europeans in Europe demand protection under UN Declaration on the Rights of Indigenous Peoples?

Weight functions in graph algorithms

How much did all the space agencies spent on rockets launching and space exploration? What are the benefits for me and you?

Is it possible to have a career in SciComp without contributing to arms research?

Will copper pour help on my single-layer PCB?

ESTA Travel not Authorized. Accepted twice before!

What is really the difference between uniform velocity and constant velocity?

Why are there few or no black super GMs?

Discretisation of region intersection in 3D

Longtable of size textwidth exceeds right margin

Trivial non-dark twist in dark fantasy



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;








2















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









share|improve this question
























  • 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

















2















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









share|improve this question
























  • 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













2












2








2


1






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









share|improve this question
















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






share|improve this question















share|improve this question













share|improve this question




share|improve this question








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

















  • 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












0






active

oldest

votes










Your Answer






StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");

StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);

StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);

else
createEditor();

);

function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);



);













draft saved

draft discarded


















StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f55355982%2fsimulate-log-system-for-input-in-a-neural-network%23new-answer', 'question_page');

);

Post as a guest















Required, but never shown

























0






active

oldest

votes








0






active

oldest

votes









active

oldest

votes






active

oldest

votes




Is this question similar to what you get asked at work? Learn more about asking and sharing private information with your coworkers using Stack Overflow for Teams.







Is this question similar to what you get asked at work? Learn more about asking and sharing private information with your coworkers using Stack Overflow for Teams.



















draft saved

draft discarded
















































Thanks for contributing an answer to Stack Overflow!


  • Please be sure to answer the question. Provide details and share your research!

But avoid


  • Asking for help, clarification, or responding to other answers.

  • Making statements based on opinion; back them up with references or personal experience.

To learn more, see our tips on writing great answers.




draft saved


draft discarded














StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f55355982%2fsimulate-log-system-for-input-in-a-neural-network%23new-answer', 'question_page');

);

Post as a guest















Required, but never shown





















































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown

































Required, but never shown














Required, but never shown












Required, but never shown







Required, but never shown







Popular posts from this blog

SQL error code 1064 with creating Laravel foreign keysForeign key constraints: When to use ON UPDATE and ON DELETEDropping column with foreign key Laravel error: General error: 1025 Error on renameLaravel SQL Can't create tableLaravel Migration foreign key errorLaravel php artisan migrate:refresh giving a syntax errorSQLSTATE[42S01]: Base table or view already exists or Base table or view already exists: 1050 Tableerror in migrating laravel file to xampp serverSyntax error or access violation: 1064:syntax to use near 'unsigned not null, modelName varchar(191) not null, title varchar(191) not nLaravel cannot create new table field in mysqlLaravel 5.7:Last migration creates table but is not registered in the migration table

용인 삼성생명 블루밍스 목차 통계 역대 감독 선수단 응원단 경기장 같이 보기 외부 링크 둘러보기 메뉴samsungblueminx.comeh선수 명단용인 삼성생명 블루밍스용인 삼성생명 블루밍스ehsamsungblueminx.comeheheheh

155 수학 과학 기타 둘러보기 메뉴eh추가해eh문서를 완성해