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首页> 外文会议>International Conference on Computing Methodologies and Communication >AN INTELLIGENT AND NOVEL ALGORITHM FOR SECURING VULNERABLE USERS OF ONLINE SOCIAL NETWORK
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AN INTELLIGENT AND NOVEL ALGORITHM FOR SECURING VULNERABLE USERS OF ONLINE SOCIAL NETWORK

机译：一种保护在线社交网络弱势用户的智能和新算法

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摘要

The last few years have witnessed a very fast-paced growth in the user base and activities of Online Social Networks (OSN). Their growth is attributed to the trust that they have received from people. People engage in social networks to make friends, chat, upload and like photos, update their status, and post comments. The use of social networks causes users to think less about the related security and privacy concerns in terms of OSNs. Trusting social networks leads to serious privacy concerns. Users disclose their information voluntarily, not knowing who exactly is going to access or use their data. They are less concerned about how safe their private information is, as they are more interested in meeting different people from across the globe. Their desire to connect with their family, friends, and virtual friends is apparent from their use of OSNs. The widespread use of social networks has also given rise to widespread impersonation. It is difficult to find a feasible solution to help counteract the negative consequences of this problem. This paper discusses the reasons behind information leaks, particularly, the way in which OSNs contribute to the intelligence used by hackers. A number of security measures for organizations are also included in the paper, to help them combat the activities related to leakage of information with respect to OSNs. It also identifies the future direction in terms of in-depth research in the fields by establishing a culture of security and implementing behavioral change. The Description Logic Rule Generation algorithm is proposed in the paper to be able to find and analyze the nature of vulnerabilities and attackers. The algorithm identifies vulnerable users on the basis of a sharing threshold. The users are removed in case they cross the threshold values. The paper also presents the security analysis of results of the OSNs popularity among users.
机译：过去几年目睹了在线社交网络的用户基础和活动中的非常快速的增长（OSN）。他们的增长归功于他们从人们收到的信任。人们从事社交网络，交出朋友，聊天，上传等照片，更新他们的状态和发表评论。社交网络的使用导致用户在OSN方面忽略了相关的安全和隐私问题。信任社交网络导致严重的隐私问题。用户自愿披露他们的信息，不知道完全可以访问或使用其数据。它们不太关注他们的私人信息的安全，因为它们更感兴趣地与全球相遇的不同人。他们渴望与他们的家人，朋友和虚拟朋友联系，从他们使用OSNS时显而易见。广泛使用的社交网络也升高了普遍的模仿。很难找到一个可行的解决方案来帮助抵消这个问题的负面后果。本文讨论了信息泄漏背后的原因，特别是奥斯人对黑客使用的智能贡献的方式。本文还包含一些对组织的安全措施，以帮助他们对欧洲织斯欧洲奥斯人策争与信息泄漏有关的活动。它还通过建立安全文化和实施行为变革来确定在田间深入研究方面的未来方向。在论文中提出了描述逻辑规则生成算法，以便能够找到和分析漏洞和攻击者的性质。该算法基于共享阈值识别易受攻击的用户。如果它们跨越阈值，则会删除用户。本文还介绍了用户之间奥斯人气流行度的结果的安全分析。

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