SE-ENC A Secure and Efficient Encoding Scheme Using Elliptic Curve Cryptography

Project Code :TCMAPY765

Objective

The main objective of the project is to encode the files using Elliptical Curve Cryptography technique.

Abstract

Asymmetric cryptography is frequently used in applications to protect communication between two parties. The requirement for enormous quantities of processing is one of the primary problems with asymmetric cryptography. And keeping. Despite the possibility that this is accurate, elliptic curve cryptography (ECC) is a method for asymmetric Due to its efficiency in producing compact keys with low computing requirements, cryptography is commonly utilized in low-power devices. A robust encryption system. The ECC improves device performance while reducing power consumption. Thereby making it appropriate for a variety of applications, including sensors and the Internet of things (IoT) devices. To ensure safe communications, especially when encoding a message to an elliptic curve, the ECC must have a robust implementation. It is equally crucial for the ECC to protect the mapping of the message to the encryption curve. To offer authenticated encryption (AE) for both encoding and mapping a message to the curve, this work aim proposes a reliable and validated scheme. This study also offers analytical findings regarding the proposed scheme's security needs in comparison to various encryption methods. In order to assess each scheme's effectiveness, a comparison is also made between the SE-Enc and other cutting-edge encryption techniques.

Keywords: Security, Cryptography, Encryption, Encoding.

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

Block Diagram

Specifications

H/W Specifications:

β€’ Processor                        :  I5/Intel Processor

β€’ RAM                                   :  8GB (min)

β€’ Hard Disk                          :  128 GB


S/W Specifications:

β€’ Operating System              :   Windows 10

β€’ Server-side Script              :   Python 3.6

β€’ IDE                 :   PyCharm, Jupyter notebook

β€’ Libraries Used :   Numpy, IO, OS, Flask, Keras, pandas, tensorflow


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