Assignment submitted by Logan Farci (47923) and Anthony Farci (49737) for the Security course of Mr Absil (ABS) at HE2B ESI (2018-2019).
Once the project is cloned locally, run the following commands...
$ cd <path to the project directory>
$ make
Note: the code use the POSIX operating system API. This code only run Unix systems.
./sec <cipher | uncipher | attack> <-vigenere | -caesar> <source> <destination> [your key]
- Action:
cipher
in order to ciphersource
and store the result indestination
.uncipher
in order to unciphersource
and store the result indestination
.attack
in order to make frequential analysis onsource
and store the result indestination
.
- Cipher type:
-vigenere
in order to use Vigenère ciphering.-caesar
in order to use Caesar ciphering.
- Source: the path to the file to read from.
- Destination: the path to the file that will store the result of the treatment.
- Key: is the key. It is a character string, each character corresponding to its position in the alphabet. A key of size 1 should be used with Caesar cipher. Also, when attacking the key optional (when given it is not treated).
In order to cipher initial_message
, use the following command:
./sec cipher -vigenere initial_message ciphered_message example
The ciphered content is stored in the ciphered_message
file.
Note: ciphering in Vigenère or in Caesar will be treated the same way.
In order to uncipher ciphered_message
, use the following command:
./sec uncipher -vigenere ciphered_message unciphered_message example
The uciphered content is stored in the unciphered_message
file.
Note: unciphering Vigenère or Caesar will be treated the same way.
In order to break ciphered_message
, use the following command:
./sec attack -vigenere ciphered_message broken_message
The uciphered content is stored in the broken_message
file.
In order to break ciphered_message
, use the following command:
./sec attack -caesar ciphered_message broken_message
The uciphered content is stored in the broken_message
file.
This frequential analysis implementation is based on the fact that the letter 'e' is the most frequent in English. Trying to analyse and uncipher (without the key) a text that does not respect this assumption will result in gibberish.
Also, during the frequential analysis, if the key length divides the text in subtexts with a different most frequent character than 'e', the analysis won't be abble to find the right key.