社交媒体与数字安全综述

Amar Yahya Hussien
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引用次数: 4

摘要

新兴的社交媒体以其固有的能力似乎在全面性、多样性和智慧方面取得了优势,但其安全性和可信度问题也日益严重,亟待解决。现有的研究主要针对社交媒体内容和用户安全两个方面,包括模型、协议、机制和算法。遗憾的是,目前缺乏对各种社交媒体工具、平台和应用程序的安全性和可信度进行有效和高效的评估和测量的研究,从而影响了它们的进一步改进和发展。为了应对这一挑战,本文首先对社交媒体网络的安全和可信度进行了调查,特别是针对日益复杂和多样化的攻击以及相关的智能应用。然后,我们强调了评估和测量这些基础和底层平台的新方向,同时提出了基于信号理论和人群计算的人群评估分层架构,这对社交媒体生态系统至关重要。最后,我们总结了几个悬而未决的问题和前沿挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review on Social Media and Digital Security
The emerging social media with inherent capabilities seems to be gaining edge over comprehensiveness, diversity and wisdom, nevertheless its security and trustworthiness issues have also become increasingly serious, which need to be addressed urgently. The available studies mainly aim at both social media content and user security, including model, protocol, mechanism and algorithm. Unfortunately, there is a lack of investigating on effective and efficient evaluations and measurements for security and trustworthiness of various social media tools, platforms and applications, thus has effect on their further improvement and evolution. To address the challenge, this paper firstly made a survey on the state-of-the-art of social media networks security and trustworthiness particularly for the increasingly growing sophistication and variety of attacks as well as related intelligence applications. And then, we highlighted a new direction on evaluating and measuring those fundamental and underlying platforms, meanwhile proposing a hierarchical architecture for crowd evaluations based on signaling theory and crowd computing, which is essential for social media ecosystem. Finally, we conclude our work with several open issues and cutting-edge challenges.
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