An accurate and high-efficient QuBits steganography scheme based on hybrid neural networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
http://link.springer.com/content/pdf/10.1007/s11042-018-7061-7.pdf
Reference33 articles.
1. Al-Salhi Y EA, Songfeng L u (2016) Image steganography method for concealing secret data into coefficients based on high scalable Sub-Bands of integer wavelet transform. Int J Comput Sci Inf Secur 14(6):191
2. AL-Salhi YE, Lu S (2016) Quantum image steganography and steganalysis based on lsqu-blocks image information concealing algorithm. Int J Theor Phys 55:1–15
3. Al-Salhi YEA, Lu S (2017) New steganography scheme to conceal a large amount of secret messages using an improved-AMBTC algorithm based on hybrid adaptive neural networks. In: 2017 IEEE 3rd international conference on big data security on cloud (bigdatasecurity), IEEE international conference on high performance and smart computing (hpsc), and IEEE international conference on intelligent data and security (ids), Beijing, pp 112–121
4. Al-Salhi YEA, Songfeng L, Al-Hamodi AAG, Al-Mter AH, Zhangv Z (2017) New Qubits steganography algorithm to conceal a secret file in compressed edge detection operators based on optimized adaptive neural networks. In: 2017 19th international conference on advanced communication technology (ICACT), Bongpyeong, pp 167–176
5. Behrman EC, Nash L, Steck JE, Chandrashekar V, Skinner SR (2000) Simulations of quantum neural networks. Inf Sci 128(3):257–269
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Image data hiding schemes based on metaheuristic optimization: a review;Artificial Intelligence Review;2023-06-18
2. A Secure Image Steganography Using Shark Smell Optimization and Edge Detection Technique;Kurdistan Journal of Applied Research;2022-10-02
3. Cloud to cloud data migration using self sovereign identity for 5G and beyond;Cluster Computing;2021-11-15
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