The main objective of this paper is to build a machine learning based attack on text encrypted with public key encryption schemes like RSA and Elliptic Curve Cryptography (ECC) is shown.
Deep learning provides a very promising approach to attack cryptographic implementations. In this paper, a deep learning-based attack on text encrypted with RC4 Cipher is shown. Deep Learning algorithms, a popular approach to deal with complex problems are utilized to learn the structure of the text from training examples so that an unknown similar text can be decrypted successfully. The attack is performed on a section of the ENG-FRENCH dataset. The results of deep learning algorithms are 74.83% on seen words or similar words but don’t give good accuracy on unseen or unfamiliar words which it has never seen in training data.
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SYSTEM SPECIFICATIONS:
H/W SPECIFICATIONS:
• Processor : I5/Intel Processor
• RAM : 8GB (min)
• Hard Disk : 500 GB
S/W SPECIFICATIONS:
• Operating System : Windows 10
• Server-side Script : Python 3.6+
• IDE : Jupyter Notebook , PyCharm
LEARNING OUTCOMES:
About Python.
About Jupyter.
About Pandas.
About Numpy.
About Deep Learning.
About LSTM
About RNN