Paper PublishingDesign and Implementation of a secure QR payment System based on Visual Cryptography
Objective
The main objective of the project is to secure link sharing using QR codes.
Abstract
In this paper, we will describe the design and implementation of a secure payment system based on QR codes. These QR codes have been extensively used in recent years since they speed up the payment process and provide users with ultimate convenience. However, as convenient as they may sound, QR-based online payment systems are vulnerable to different types of attacks. Therefore, transaction processing needs to be secure enough to protect the integrity and confidentiality of every payment process. Moreover, the online payment system must provide authenticity for both the sender and receiver of each transaction. In this paper, the security of the proposed QR-based system is provided using visual cryptography. The proposed system consists of a web application that implements visual cryptography. The application provides a simple and user-friendly interface for users to share links through QR Code.
Keywords: - QR codes, image cryptography
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Operating system : Windows 7 or 7+
Ram : 8 GB
Hard disc or SSD : More than 500 GB
Processor: Intel 3rd generation or high or Ryzen with 8 GB Ram
Software’s: Python 3.6 or high version, Visual studio, PyCharm.
Learning Outcomes
Practical exposure to
· Hardware and software tools
· Solution providing for real time problems
· Working with team/individual
· Work on creative ideas
· Testing techniques
· Error correction mechanisms
· What type of technology versions is used?
· Working of Tensor Flow
· Implementation of Deep Learning techniques
· Working of CNN algorithm
· Working of Transfer Learning methods
· Building of model creations
· Scope of project
· Applications of the project
· About Python language
· About Deep Learning Frameworks
· Use of Data Science
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Disclaimer - Takeoff Edu Group Projects, are not associated or affiliated with IEEE, in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, and not projects of or by IEEE.
