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روشی ترکیبی بهمنظور شناسایی فراهمکنندگان خدمات ابری قابلاعتماد با استفاده از فرآیند تحلیل سلسله مراتبی و شبکههای عصبی | ||
پدافند الکترونیکی و سایبری | ||
مقاله 9، دوره 6، شماره 4 - شماره پیاپی 24، اسفند 1397، صفحه 105-122 اصل مقاله (1.82 M) | ||
نوع مقاله: مقاله پژوهشی | ||
نویسندگان | ||
سارا طبقچی میلان1؛ نیما جعفری نویمی پور* 2 | ||
1آزاد اسلامی واحد تبریز | ||
2دانشگاه آزاد اسلامی واحد تبریز | ||
تاریخ دریافت: 01 بهمن 1396، تاریخ پذیرش: 06 خرداد 1397 | ||
چکیده | ||
اخیرا فناوری رایانش ابری توانسته است در مدتزمان کوتاهی محبوبیت گستردهای بیابد. لذا با توجه به این محبوبیت شمار قابلیتها و ویژگیهای خدمات ابری نیز رو به افزایش میباشد. در محیطهای ابری بهمنظور یافتن ارائهدهنده معتبر و انتخاب بهترین منابع در زیرساختهای ناهمگن ابری، اعتماد نقش مهمی را ایفا میکند. عدم اعتماد مشتریان به ارائهدهندگان خدمات ابری بزرگترین مانعی است که اغلب برای پذیرش خدمات ابری در نظر گرفته میشود. در این پژوهش سعی بر تدوین مدل شناسایی ارائهدهندگان خدمات ابری نامعتبر خواهد بود که با استفاده از ویژگیهای ارزیابی اعتماد به ارائهدهندگان ابری، اعتبارسنجی انجام خواهد گرفت. در رویکرد پیشنهادی بهمنظور تشخیص فراهمکنندگان ابری ترکیب روش شبکه عصبی با وزندهی سلسله مراتبی ارائه شده است و علت بهکار گرفتن شبکه عصبی، قابلیت پیدا کردن و تشخیص مقادیر بهینه آن میباشد. نتایج شبیهسازی حاکی از آن است که درصد خطای این روش 005/0% میباشد که بهنسبت روشهای رایج دیگر دارای دقت بیشتری است. | ||
کلیدواژهها | ||
خدمات ابری؛ اعتماد؛ شبکه عصبی؛ تحلیل سلسله مراتبی | ||
عنوان مقاله [English] | ||
Hybrid Method for Detecting Trustworthy Cloud Service Providers using Analytical Hierarchical Process and Neural Network | ||
نویسندگان [English] | ||
Sara Tabaghchi Milan1؛ Nima Jafari Navimi Pour2 | ||
چکیده [English] | ||
Recently, cloud computing has become very popular. Due to this popularity, the number of cloud services’ features is increasing continuously. To find a reliable provider in the cloud environment and select the best resources in the heterogeneous infrastructures, trust plays an important role. Customers distrust in cloud service providers is considered as a barrier to cloud service acceptance. This research develops a model for identifying invalid cloud service providers, in which validation is examined using cloud providers’ trust evaluation features. In this approach, in order to detect cloud providers, the neural network method with a robust hierarchical weight estimation is proposed; analytical hierarchical process is being used for its capability in finding and detecting optimal values. The simulation results indicate an error rate of 0.055%, showing this method to be more accurate compared to the state-of-the-art methods. | ||
کلیدواژهها [English] | ||
Cloud service, trust, neural network, analytical hierarchical process | ||
مراجع | ||
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