Machine Learning based Attack on Certain Encryption Schemes

Project Code :TCMAPY517

Objective

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.

Abstract

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.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

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

LEARNING OUTCOMES:

About Python.

About Jupyter.

About Pandas.

About Numpy.

About Deep Learning.

About LSTM

About RNN


Demo Video

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