Image Security Barrier (ISB): Hide valuable information in image using machine learning

Pranay Maske, Kunal Pardhi, Shubham Hatzade, Rakesh Sharma, Sampada S. Wazalwar
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引用次数: 1

Abstract

People have a addictions of sharing their daily activities on story, posts, chatting or snap in form of an image on social media. Sometimes image content information includes the date of birth, addresses, phone no, Aadhar no, PAN no, or QR code.if someone shares too much information, then hackers can harvest this information and use it for illegal purposes and like government and Businesses secret information leak, due to lack of security or maliciously, causes big costs in money, a distinction of business, and national security. In this paper, we present software/tool for hiding such kind sensitive/private data of users while shearing on the world of internet. ISB is a software/tool that creates a barrier between hackers and public it recognizes our sensitive information from image/document and hide or encrypt them. An ISB provides secured image with 95.5% of accuracy The final output is completely secure for sharing anywhere on Internet/social media platforms.
图像安全屏障(ISB):利用机器学习隐藏图像中有价值的信息
人们沉迷于在社交媒体上以故事、帖子、聊天或照片的形式分享他们的日常活动。有时图像内容信息包括出生日期、地址、电话号码、Aadhar号码、PAN号码或QR码。如果有人分享了太多的信息,那么黑客就可以收集这些信息并将其用于非法目的,就像政府和企业的秘密信息泄露一样,由于缺乏安全或恶意,造成了巨大的金钱成本、商业差异和国家安全。在本文中,我们提出了一种软件/工具,用于在互联网世界中隐藏用户的此类敏感/私人数据。ISB是一种软件/工具,它可以在黑客和公众之间建立屏障,它可以从图像/文档中识别我们的敏感信息并隐藏或加密它们。ISB提供了95.5%的准确度的安全图像,最终输出是完全安全的,可以在互联网/社交媒体平台上的任何地方分享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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