ارائه الگوریتمی با زمان اجرای کم برای گمنام‌سازی دنباله درجه گراف مبتنی بر وزن‌دهی به یال‌های گراف

روش‌های هوشمند در صنعت برق

مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 05 اردیبهشت 1402   

نوع مقاله: مقاله پژوهشی

نویسندگان

مریم کیابد¹؛ محمد نادری دهکردی^{* 2}؛ بهرنگ برکتین²

¹دانشکده مهندسی کامپیوتر- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران

²مرکز تحقیقات کلان داده- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران

چکیده

شبکه­های اجتماعی بعنوان یک محیط جذاب، کم هزینه و قابل دسترس برای ارتباط بین کاربران معرفی شده­اند. تجزیه و تحلیل اطلاعات جمع­آوری شده در این شبکه­ها، بعنوان یکی از اصلی­ترین اهداف، می­تواند حریم خصوصی کاربران را نقض کند. به این­منظور، الگوریتم­های متعددی برای گمنام­سازی گراف شبکه­های اجتماعی ارائه شده است که سعی در حفظ حریم خصوصی کاربران شبکه اجتماعی دارند. با این وجود، تاکنون روشی که بهبود همزمان معیارهای سودمندی گراف و زمان اجرا را مد نظر داشته باشند، مطرح نشده است. در این راستا، تحقیق جاری با تلفیق دو الگوریتم روش ناشناس­سازی تصادفی صرفه جویی در زمان (TSRAM) و نافا برای گمنام­سازی دنباله درجه گراف (NaFa4KDA)، تلاش دارد تا بر این مشکل مذکور فائق آید. الگوریتم اول از طریق رسم یک درخت فشرده از دنباله درجه گراف، زمان گمنام­سازی دنباله درجه را کاهش و الگوریتم دوم با بکارگیری یک روش موثر برای کاهش تعداد اسکن­های یال­های انتخاب و همچنین افزایش دقت الگوریتم در انتخاب مناسب­ترین یال­ها برای ویرایش، بطور همزمان زمان اجرای الگوریتم و سودمندی گراف را بهبود می­دهد. نتایج مقایسه الگوریتم پیشنهادی با الگوریتم­های مشابه دیگر نشان می­دهد که الگوریتم ترکیبی پیشنهادی در فرآیند گمنام­سازی، سودمندی گراف و زمان اجرا را به ترتیب افزایش و کاهش قابل توجهی داده است. بطور میانگین، نتایج ارزیابی،34 درصد بهبود در زمان اجرا و 10 درصد بهبود سومندی گراف را نشان می­دهد. 

کلیدواژه‌ها

بهینه‌سازی؛ سودمندی؛ شبکه اجتماعی؛ حفظ حریم خصوصی

سایر فایل های مرتبط با مقاله

1904-Extended Abstract.pdf

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