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Introducing a novel approach to concealing textual information within digital images through the use of neural networks | ||
Modeling and Simulation in Electrical and Electronics Engineering | ||
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 26 شهریور 1404 اصل مقاله (689.15 K) | ||
نوع مقاله: Research Paper | ||
شناسه دیجیتال (DOI): 10.22075/mseee.2025.36371.1194 | ||
نویسندگان | ||
Mohammad Yasemifar* 1؛ Sattar Mirzakoochaki2؛ Mohammad Norouzi3 | ||
1Department of electrical engineering, faculty of electrical engineering, qazvin branch, islamic azad university, qazvin, iran | ||
2Department of electrical engineering, faculty of electrical engineeringq,University of Mississippi | ||
3Bachelor's degree from Qazvin Azad University and Master's degree in Electronic Engineering from Iran University of Science and Technology | ||
تاریخ دریافت: 10 دی 1403، تاریخ بازنگری: 27 فروردین 1404، تاریخ پذیرش: 26 شهریور 1404 | ||
چکیده | ||
The advancement of multimedia technology has positioned information security as a critical concern. Among various security challenges, securely transmitting confidential data between two parties has attracted significant attention from researchers. Steganography, a technique for embedding confidential information within another medium, ensures that the presence of the hidden data goes unnoticed by observers. Images and videos are frequently utilized as carriers due to their abundance and capacity. The rapid proliferation of instant messaging platforms and smart devices in recent years has introduced both opportunities and challenges for secure communication on public social networks. Consequently, steganographers have explored combining cryptography, steganography, and neural networks to enable secure communication. This integrated approach ensures both the confidentiality and integrity of information. This research proposes a novel method for embedding textual information within digital images using neural networks. | ||
کلیدواژهها | ||
Novel approach؛ Steganography؛ Text information؛ Digital images؛ Neural networks | ||
آمار تعداد مشاهده مقاله: 1 |