0% Complete
English
صفحه اصلی
/
چهاردهمین کنفرانس بین المللی فناوری اطلاعات و دانش
Video Steganography in HEVC Using Intra-Prediction Modes
نویسندگان :
Vahidreza Seirafian
1
Masoud Omomi
2
1- دانشگاه صنعتی اصفهان
2- دانشگاه صنعتی اصفهان
کلمات کلیدی :
Video steganography،HEVC standard،I-frame prediction،Angle modes
چکیده :
Steganography is a security method that has been used since ancient times and has evolved as a prominent research area in electronic media with the advancement of technology and the transformation of information into digital data. Hidden data carriers can take various forms, such as text, audio, images, or videos. With the expansion of video media and advancements in areas such as increased memory capacity, processor power, and data exchange speed, video-based steganography has gained more attention. The presence of consecutive video frames and suitable space for data steganography are among the reasons for the popularity of this method. Currently, the most effective video steganography methods are based on the HEVC (High-Efficiency Video Coding) standard, which is widely used in hardware and software applications. In this paper, a method for hiding data in videos based on the HEVC standard is proposed, utilizing its features for data concealment. The proposed technique in video steganography relies on intra-prediction modes and hides the data during the encoding process using HEVC angle modes. Experimental results demonstrate that the proposed method introduces minimal visual changes compared to other methods and possesses a suitable hiding rate. Moreover, it yields acceptable results regarding the security of hidden data.
لیست مقالات
لیست مقالات بایگانی شده
تاثیر مدیریت دانش مشتری بر توسعه محصول جدید و نوآورانه با رویکرد مدل سازی معادلات ساختاری با استفاده از حداقل مربعات جزئی: مطالعۀ موردی شرکت کاله
دکتر آرش خسروی - سیده فاطمه حسینی - دکتر مرتضی رجب زاده آرش خسروی - سیده فاطمه حسینی - مرتضی رجب زاده -
Data Analysis to Reduce Electrical Power Plants
Amirali Sahraei - Jamshid Shanbehzadeh
مدیریت توأم منابع و خواب ایستگاه پایه مبتنی بر یادگیری تقویتی در شبکه های فوق متراکم با ارتباطات دو طرفه
طاهره رحمتی - بهروز شاهقلی قهفرخی
Real-Time EEG-Based Analysis Of Stress-Inducing Stimuli
Mohsen Mahmoudi - Fattaneh Taghiyareh - Yasamin Akhavein - Elnaz Ghorbani
خوشه بندی شبکههای بیسیم ادهاک مبتنی بر محدودیتهای فازی
پروا کلیبری - کریم صمدزمینی
Improving Deep Neural Network Accelerator for Malaria Diseased Blood Cells using FPGA
Hadi Rezaeikarjani - Mojtaba Valinataj
ParsEL 1.0: Unsupervised Entity Linking in Persian Social Media Texts
Majid Asgari-bidhendi - Farzane Fakhrian - Dr Behrouz Minaei-bidgoli
A Novel Approach to Data mining algorithms and IoT based data mining machine learning
Danial Ramezani - Seyed Hossein Siadat
Using Trust Statements and Ratings by GraphSAGE to Alleviate Cold Start in Recommender Systems
Seyedeh Niusha Motevallian - Dr Seyed Mohammad Hossein Hasheminejad
A Model-Driven Approach for Automatic Generation of Android Tourism Applications
Sara Adib - Bahman Zamani
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.3.1