کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
350245 618433 2016 4 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Understanding how big data leads to social networking vulnerability
ترجمه فارسی عنوان
درک بزرگی داده ها منجر به آسیب پذیری از شبکه های اجتماعی می شود
کلمات کلیدی
اطلاعات بزرگ؛ شبکه اجتماعی؛ مهندسی اجتماعی؛ مدل های پیش بینی
Big data; Social networking; Social engineering; Predictive models
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Social media networks can be used to predict the personality of an individual.
• Social media networks are very vulnerable to privacy intrusion.
• Social networking sites are vulnerable to malware risks.
• Social networking sites have large amounts of big data.

Although the term “Big Data” is often used to refer to large datasets generated by science and engineering or business analytics efforts, increasingly it is used to refer to social networking websites and the enormous quantities of personal information, posts, and networking activities contained therein. The quantity and sensitive nature of this information constitutes both a fascinating means of inferring sociological parameters and a grave risk for security of privacy. The present study aimed to find evidence in the literature that malware has already adapted, to a significant degree, to this specific form of Big Data. Evidence of the potential for abuse of personal information was found: predictive models for personal traits of Facebook users are alarmingly effective with only a minimal depth of information, “Likes”, It is likely that more complex forms of information (e.g. posts, photos, connections, statuses) could lead to an unprecedented level of intrusiveness and familiarity with sensitive personal information. Support for the view that this potential for abuse of private information is being exploited was found in research describing the rapid adaptation of malware to social networking sites, for the purposes of social engineering and involuntary surrendering of personal information.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 57, April 2016, Pages 348–351
نویسندگان
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