A Survey on Secrete Communication through QR Code Steganography for Military Application

Author:

Bhoskar Nikita

Abstract

Abstract: The quick response code (QR) has become most popular barcode because of its larger data capacity and increased damage resistance. Barcode scanners can easily extract information hidden in the QR code when scanning data forms. However, some confidential data stored directly in QR codes are not secure in real world QR apps. To proposed approach to visual secret sharing scheme to encode a secret QR code into distinct shares. In assessment with other techniques, the shares in proposed scheme are valid QR codes that may be decoded with some unique that means of a trendy QR code reader, so that escaping increases suspicious attackers. An existing sharing technique is subjected to loss of security. On this premise, consider the strategy for (k, n) get to structures by using the (k, k) sharing occurrence on each k-member subset dependent on specific relationship. In addition, the secret message is recovered with the aid of XOR-ing the qualified shares. This operation which can effortlessly be achieved the use of smartphones or different QR scanning gadgets. Contribution work is, working on optimal partitioning methods and compare original message with shared message using hashing techniques. Keywords: Hashing, partitioning algorithm, error correction capacity, high security, Quick Response code, visual secret sharing scheme

Publisher

International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Subject

General Earth and Planetary Sciences,General Environmental Science

Cited by 2 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. Towards a High-capacity Data Concealment for Spatial Domain Image-steganography;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

2. A Data Hiding Scheme via Reduced Difference Expansion to Improve the Stego Quality;2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC);2023-12-04

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