Cryptanalysis using python

Objective

To write codes which will allow us to attack the simple cipher using classical methods

Description

Introduction - what this is not Intro to Python The Monome-Dinome cipher The basic code Cryptanalysis I - the Row Digits Cryptanalysis II - the Trick Cryptanalysis III - Removing the guesswork Creating the programs The complete source code

Speaker bio

Nivedita is currently a student of Indian Institute of Science (IISc, Bangalore) pursueing her MS from SERC (Supercomputer Education & Research Centre) department and is an ex-employee of Infosys Limited where she worked for 19 months.

Slides

https://docs.google.com/presentation/d/1Xp4zT31yoWTPbbNodCKb2MZ5kO0RE8slhgKt2YzYJVc/edit

Comments

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  [-][+] Puneeth Chaganti 930 days ago

  Is it the same talk that was delivered at SciPy India, last year?

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    [-][+] Nivedita Datta 929 days ago

    No... at SciPy, I had just briefed about few common crypto algorithms... This time I am planning to brief on breaking the weak algorithms using methods like frequency count, pattern finding etc.

    Had u attended SciPy 2011??

    [reply] [link] [parent]
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      [-][+] Puneeth Chaganti 920 days ago

      Yes, I did attend that talk.

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        [-][+] Nivedita Datta 876 days ago

        Are you attending PyCon 2012 as well??

        [reply] [link] [parent]
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  [-][+] A S L Devi 929 days ago

  Nice to know that people at SERC are using Python now.

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  [-][+] Anand B Pillai 923 days ago

  Kindly note: Your talk needs more content in the description section for evaluation. Please add more content describing your talk. Think in terms of how you plan to present the talk and virtually walk through the slides here - Thanks - Admin.

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  [-][+] software mechanic 873 days ago

  Hi, I would like to try out and play around with the python code you used for the presentation? Can you share it somewhere (say github or bitbucket if you prefer private repos)?

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  [-][+] Nivedita Datta 866 days ago

  Hey...following are the links where I have shared my codes... Do have a look...

  https://gist.github.com/3863676

  https://gist.github.com/3863701

  [reply] [link]

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