Open AccessTHE DESIGN AND DEVELOPMENT OF DATA HIDING USING DEEP LEARNING
Author(s) -
K.RAGHAVENDRA PRASAD
Publication year - 2022
Publication title -
indian scientific journal of research in engineering and management
Language(s) - English
Resource type - Journals
ISSN - 2582-3930
DOI - 10.55041/ijsrem11737
Subject(s) - steganography , steganalysis , deep learning , information hiding , computer science , convolutional neural network , computer security , artificial intelligence , embedding
Data hiding is one of the most prominent and important topics. The importance of protecting sensitive data has always been recognized from time immemorial. Steganography is the craft of secured or shrouded composing; the term itself goes back to the fifteenth century, when messages were physically covered up. In present day steganography, the objective is to clandestinely impart an advanced message. The steganographic procedure puts a shrouded message in a vehicle medium, called the transporter. The bearer might be openly noticeable. For included security, the shrouded message can likewise be encoded, accordingly expanding the apparent haphazardness and diminishing the probability of substance disclosure regardless of whether the presence of the message identified. Great acquaintances with steganography and steganalysis. Index Terms -Information Hiding, Deep Learning, Natural language processing (NLP), Convolutional Neural Networks (CNN)