ارائه الگوریتمی با زمان اجرای کم برای گمنامسازی دنباله درجه گراف مبتنی بر وزندهی به یالهای گراف
محورهای موضوعی : هوش مصنوعی
مریم کیابد
1
,
محمد نادری دهکردی
2
,
بهرنگ برکتین
3
1 - دانشکده مهندسی کامپیوتر- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
2 - دانشکده مهندسی کامپیوتر- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
3 - دانشکده مهندسی کامپیوتر- واحد نجف آباد، دانشگاه آزاد اسلامی، نجف آباد، ایران
کلید واژه: بهینهسازی, سودمندی, شبکه اجتماعی, حفظ حریم خصوصی,
چکیده مقاله :
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 این منظور، 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 الگوريتم تركيبي 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.
Social networks have been introduced as an attractive, low-cost and accessible environment for communication between users. Analyzing the information collected in these networks, as one of the main goals, can violate the privacy of users. For this purpose, several algorithms have been presented to anonymize the graph of social networks, which try to protect the privacy of social network users. However, no method has been proposed that considers the simultaneous improvement of graph utility and execution time. In this regard, the current research tries to overcome this problem by combining two algorithms, time Saving k-degree anonymization method (TSRAM) and NaFa4KDA. The first algorithm reduces the time of anonymization of the degree sequence by drawing a compact tree from the degree sequence of the graph, and the second algorithm uses an effective method to reduce the number of scans of selection edges and also increase the accuracy of the algorithm in selecting the most suitable edge. for editing, it simultaneously improves the execution time of the algorithm and the usefulness of the graph. The results of comparing the proposed algorithm with other similar algorithms show that the proposed combined algorithm has significantly increased and decreased the utility of the graph and the execution time in the process of anonymization. On average, the evaluation results show a 34% improvement in execution time and a 10% improvement in graph utility.
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