Encrypted Transfer of Confidential Information Using Steganography and Identity Verification Using Face Data

Autor: Dhruve Moudgil, S. Priya, Parth Agarwal
Rok vydání: 2020
Předmět:
Zdroj: Advances in Intelligent Systems and Computing ISBN: 9789811501982
DOI: 10.1007/978-981-15-0199-9_14
Popis: In last few years, information security has become a significant part of data communication. In order to address this crucial point in data communication to secure the confidential data, steganography and cryptography can be combined to give better results. Steganography is a practice to hide any confidential or sensitive information into another information that plays as the cover for the information, adding a layer of security on top of science of secret writing, known as cryptography. In this paper, we discuss an improved LSB steganography technique to optimize the algorithm hiding the bits in different channels selected dynamically using key. We further propose a platform leveraging cryptographic algorithms and verification using face data in pipeline to help keep data more secure.
Databáze: OpenAIRE