A novel approach to secure communication in mega events through Arabic text steganography utilizing invisible Unicode characters

IF 3.5 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE PeerJ Computer Science Pub Date : 2024-08-15 DOI:10.7717/peerj-cs.2236
Esam Ali Khan
{"title":"A novel approach to secure communication in mega events through Arabic text steganography utilizing invisible Unicode characters","authors":"Esam Ali Khan","doi":"10.7717/peerj-cs.2236","DOIUrl":null,"url":null,"abstract":"Mega events attract mega crowds, and many data exchange transactions are involved among organizers, stakeholders, and individuals, which increase the risk of covert eavesdropping. Data hiding is essential for safeguarding the security, confidentiality, and integrity of information during mega events. It plays a vital role in reducing cyber risks and ensuring the seamless execution of these extensive gatherings. In this paper, a steganographic approach suitable for mega events communication is proposed. The proposed method utilizes the characteristics of Arabic letters and invisible Unicode characters to hide secret data, where each Arabic letter can hide two secret bits. The secret messages hidden using the proposed technique can be exchanged via emails, text messages, and social media, as these are the main communication channels in mega events. The proposed technique demonstrated notable performance with a high-capacity ratio averaging 178% and a perfect imperceptibility ratio of 100%, outperforming most of the previous work. In addition, it proves a performance of security comparable to previous approaches, with an average ratio of 72%. Furthermore, it is better in robustness than all related work, with a robustness against 70% of the possible attacks.","PeriodicalId":54224,"journal":{"name":"PeerJ Computer Science","volume":"6 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PeerJ Computer Science","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.7717/peerj-cs.2236","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Mega events attract mega crowds, and many data exchange transactions are involved among organizers, stakeholders, and individuals, which increase the risk of covert eavesdropping. Data hiding is essential for safeguarding the security, confidentiality, and integrity of information during mega events. It plays a vital role in reducing cyber risks and ensuring the seamless execution of these extensive gatherings. In this paper, a steganographic approach suitable for mega events communication is proposed. The proposed method utilizes the characteristics of Arabic letters and invisible Unicode characters to hide secret data, where each Arabic letter can hide two secret bits. The secret messages hidden using the proposed technique can be exchanged via emails, text messages, and social media, as these are the main communication channels in mega events. The proposed technique demonstrated notable performance with a high-capacity ratio averaging 178% and a perfect imperceptibility ratio of 100%, outperforming most of the previous work. In addition, it proves a performance of security comparable to previous approaches, with an average ratio of 72%. Furthermore, it is better in robustness than all related work, with a robustness against 70% of the possible attacks.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用隐形 Unicode 字符进行阿拉伯语文本隐写术,在大型活动中实现安全通信的新方法
大型活动吸引了大量人群,组织者、利益相关者和个人之间涉及许多数据交换交易,这增加了秘密窃听的风险。数据隐藏对于保障大型活动期间信息的安全性、保密性和完整性至关重要。它在降低网络风险和确保这些大型集会的无缝执行方面发挥着至关重要的作用。本文提出了一种适用于特大活动通信的隐写方法。所提出的方法利用阿拉伯字母和隐形 Unicode 字符的特点来隐藏秘密数据,其中每个阿拉伯字母可以隐藏两个秘密比特。使用所提出的技术隐藏的秘密信息可以通过电子邮件、文本信息和社交媒体进行交换,因为这些是大型活动中的主要通信渠道。所提出的技术具有显著的性能,其平均高容量率为 178%,完美不可察觉率为 100%,优于之前的大多数研究成果。此外,它还证明了与以往方法相当的安全性能,平均比率为 72%。此外,它的鲁棒性也优于所有相关研究,可抵御 70% 的可能攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
PeerJ Computer Science
PeerJ Computer Science Computer Science-General Computer Science
CiteScore
6.10
自引率
5.30%
发文量
332
审稿时长
10 weeks
期刊介绍: PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.
期刊最新文献
A model integrating attention mechanism and generative adversarial network for image style transfer. Detecting rumors in social media using emotion based deep learning approach. Harnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems. Improving synthetic media generation and detection using generative adversarial networks. Intelligent accounting optimization method based on meta-heuristic algorithm and CNN.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1