A New Hybrid Approach for Image Security using Steganography and Encryption

Author:

Rehana Saheb ,Nallamilli Satya Sai Kartheek Reddy ,Ritu ,Ashish Kumar Dhiman ,Nishant ,Nirmaljeet Kaur

Abstract

In today's digital age, ensuring the security and confidentiality of image data is paramount, particularly with the proliferation of online communication and storage platforms. This project proposes a hybrid approach for enhancing image security by synergistically integrating encryption and steganography techniques. The combination of these two methods aims to fortify the protection of digital images against unauthorized access and tampering. Encryption ensures the confidentiality of image content by converting it into an unintelligible form using robust cryptographic algorithms. Concurrently, steganography conceals the encrypted data within the image itself, embedding it imperceptibly into the pixels or metadata. The synergy of encryption and steganography not only safeguards the integrity of image data but also adds an additional layer of concealment, making it arduous for adversaries to detect and decipher sensitive information. Through this project, the efficacy of the hybrid approach will be evaluated through experimentation and analysis, with the ultimate goal of providing a comprehensive solution for image security in various applications and contexts.

Publisher

Technoscience Academy

Reference25 articles.

1. Singh, G., & Kaur, M. (2019). A Review on Digital Image Security using Cryptography and teganography Techniques. International Journal of Computer Applications, 179(27), 12-17.

2. Sharma, S., & Kaur, A. (2020). A Comprehensive Review on Digital Image Security Using Hybrid Approach of Cryptography and Steganography. International Journal of Scientific & Engineering Research, 11(2), 365-370.

3. Saini, A., Kaur, M., & Kumar, A. (2018). A Hybrid Approach for Image Security Using Cryptography and Steganography Techniques. International Journal of Advanced Research in Computer Science, 9(3), 149-153.

4. Huang, J., Ni, Z., Shi, Y. Q., & Zhao, D. (2011). Reversible Data Hiding in Encrypted Images by Reversible Image Transformation. IEEE Transactions on Information Forensics and Security, 6(3), 667-676.

5. Li, B., Yang, X., Zhang, T., & Chen, B. (2018). A Novel Reversible Data Hiding Algorithm for Encrypted Image Based on Huffman Coding. IEEE Access, 6, 31893-31902.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3