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دسته بندی:
امنیت - Security
سال انتشار:
2017
عنوان انگلیسی مقاله:
A novel crowd evaluation method for security and trustworthiness of online social networks platforms based on signaling theory
ترجمه فارسی عنوان مقاله:
یک روش ارزیابی جدید جمعیت برای امنیت و اعتماد به سیستم عامل های شبکه های اجتماعی آنلاین مبتنی بر نظریه سیگنالینگ
منبع:
Sciencedirect - Elsevier - Journal of Computational Science, Corrected proof. doi:10.1016/j.jocs.2017.05.018
نویسنده:
Zhiyong Zhang ∗, Jing Wen, Xiaoxue Wang, Changwei Zhao
چکیده انگلیسی:
Along with the convenience provided by the open online social networks (OSNs) for the users, there are
also many burning problems like insecure platform, untrustworthy information, malicious propagation,
even illegal cheating. Especially, security and trustworthiness of social platforms, as the foundation of
social interactions, plays an important role in active users’ sharing and communication. The available
research efforts of the aspects mainly focus on exploring security mechanisms and methods, as well as
establishing trust relationship among social users. However, the evaluation and measurement for social
platforms have not yet been well conducted. This paper proposed a novel method for crowd evaluating the
security and trustworthiness of OSNs platforms based on signaling theory, which have been generally
employed in the fields of economics and information management. Firstly, we classified the security
and trust-critical signals of generic OSNs platform itself, and formalized static attributes and dynamic
behaviors features by using the OWL and the temporal logic. Then, a comprehensive computational
model for security and trustworthiness measurement was proposed inspired by crowd computing, after
signals’ weights were yielded based on Fuzzy Analytic Hierarchy Process Comprehensive Evaluation.
Finally, the evaluation experiments were carried out by using crowd evaluation architecture on a real
world multimedia social network platform called CyVOD MSN. The experimental results denote that the
proposed approach can effectively achieve the assessments of every security and trust-critical signals
of the social platforms, and further realize the functional evolution of CyVOD MSN through improving
insecure and untrustworthy vulnerabilities found by the crowd evaluation.
Keywords: Online social network | Security | Trustworthiness | Signaling theory | Crowd computing
قیمت: رایگان
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