Subject: StegYou Crypt-steganography Machine learning Stego-image
Year: 2022
Type: Proceeding article
Title: StegYou: Model for Hiding, Retrieving and Detecting Digital Data in Images
Author: Tasevski, Ivo
Author: Nikolovska, Viktorija
Author: Petrova, Anastasija
Author: Dobreva, Jovana
Author: Popovska-Mitrovikj, Aleksandra
Author: Dimitrova, Vesna
Abstract: Nowadays, people are not aware of how vulnerable they are to cyber-attacks and theft of personal and sensitive information, from stealing social media passwords to stealing a person’s full identity. People are not aware that their communication with the outside world can be intercepted and all sensitive and secret information stolen from them, while they completely rely on and believe in the implemented safety principles from various service providers. No matter how sophisticated the system is, every system is vulnerable. Therefore, in this paper, we present the StegYou model for hiding, retrieving, and detecting digital data in images. Our implementation of hiding and retrieving data is based on a custom made crypt-steganography algorithm for one or more images. By applying crypt-steganography techniques for secure data transfer between spatially-distributed individuals, the model will strive to reach the highest level of confidentiality, authenticity, and integrity of the user’s confidential and sensitive data. Also, StegYou can detect hidden data in given images with the help of machine learning methods.
Publisher: Springer, Cham
Relation: Proceedings of the Future Technologies Conference
Identifier: oai:repository.ukim.mk:20.500.12188/27724
Identifier: http://hdl.handle.net/20.500.12188/27724
