...
首页> 外文期刊>IEEE systems journal >A Reversible Watermarking Technique for Social Network Data Sets for Enabling Data Trust in Cyber, Physical, and Social Computing
【24h】

A Reversible Watermarking Technique for Social Network Data Sets for Enabling Data Trust in Cyber, Physical, and Social Computing

机译:用于社交网络数据集的可逆水印技术,用于在网络,物理和社交计算中实现数据信任

获取原文
获取原文并翻译 | 示例
           

摘要

Social network data are being mined for extracting interesting patterns. Such data are collected by different researchers and organizations and are usually also shared via different channels. These data usually have huge volume because there are millions of social network users throughout the world. In this context, ownership protection of such data sets with huge volume becomes relevant. Digital watermarking is a more demanding solution than any other technique for ensuring rights protection and integrity of the original data sets. The objective of this paper is to devise a reversible watermarking technique for the social network data to prove ownership rights and also provide a mechanism for data recovery. Robustness of the proposed technique is evaluated through attack analysis using experimental study. In this paper, Z notation-based formal specification is also provided to show the working of the proposed reversible watermarking technique for social network data sets for enabling data trust in Cyber, Physical, and Social Computing (CPSCom).
机译:正在挖掘社交网络数据以提取有趣的模式。这些数据是由不同的研究人员和组织收集的,通常也通过不同的渠道共享。这些数据通常数量巨大,因为全世界有数百万的社交网络用户。在这种情况下,对具有如此大数据量的这些数据集的所有权保护就变得至关重要。数字水印是一种比其他任何技术都更苛刻的解决方案,可确保版权保护和原始数据集的完整性。本文的目的是为社交网络数据设计一种可逆的水印技​​术,以证明所有权,并提供一种数据恢复的机制。通过使用实验研究的攻击分析来评估所提出技术的鲁棒性。在本文中,还提供了基于Z表示法的正式规范,以展示针对社交网络数据集提出的可逆水印技术的工作,以实现对网络,物理和社交计算(CPSCom)的数据信任。

著录项

  • 来源
    《IEEE systems journal》 |2017年第1期|197-206|共10页
  • 作者单位

    Department of Computing, School of Electrical Engineering and Computer Sciences, Department of Computer Science, National University of Sciences and Technology, Government College University Faisalabad, Islamabad, Faisalabad, PakistanPakistan;

    Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt, Pakistan;

    Department of Computer Science, COMSATS Institute of Information Technology, Wah Cantt, Pakistan;

    Department of Electrical and Computer Engineering, North Dakota State University, Fargo, ND, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Watermarking; Social network services; Data mining; Decoding; Robustness; Encoding; Data models;

    机译:水印;社交网络服务;数据挖掘;解码;稳健性;编码;数据模型;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号