بررسی استفاده از انواع روش‌های یادگیری عمیق در امنیت شبکه‌های اینترنت اشیا
الموضوعات :
هادی مهدوی نیا
1
,
محمدرضا سلطان آقایی
2
,
مهدی اسماعیلی
3
1 - دانشکده فنی مهندسي، واحد اصفهان (خوراسگان)، دانشگاه آزاد اسلامی، خوراسگان، اصفهان، ايران
2 - دانشکده فنی مهندسي، واحد اصفهان (خوراسگان)، دانشگاه آزاد اسلامی، خوراسگان، اصفهان، ايران
3 - دانشکده برق و کامپیوتر، واحد کاشان، دانشگاه آزاد اسلامی، کاشان، اصفهان، ايران
الکلمات المفتاحية: روش‌های یادگیری عمیق, امنیت شبکه, اینترنت اشیا, امنیت اینترنت اشیا, رویکردهای یادگیری عمیق,
ملخص المقالة :
گسترش مداوم دستگاه‌های هوشمند در بسیاری از جنبه‌های زندگی روزمره ما همراه با تقاضای روزافزون برای مکانیسم‌های مناسب برای اطمینان از مقاومت آنها در برابر انواع مختلف تهدیدات و حملات در محیط اینترنت اشیا است. در این زمینه، یادگیری عمیق به عنوان یکی از موفق‌ترین و مناسب‌ترین تکنیک‌ها برای استفاده در جنبه‌های مختلف امنیت اینترنت اشیا در حال ظهور است. هدف این پژوهش، بررسی و تحلیل سیستماتیک چشم‌انداز تحقیقاتی در مورد رویکردهای یادگیری عمیق اعمال شده در سناریوهای مختلف امنیت اینترنت اشیا است. تحقیقات بررسی شده، بر اساس دیدگاه‌های مختلف در یک طبقه‌بندی منسجم و ساختاریافته به منظور شناسایی شکاف در این حوزه تحقیقاتی محوری طبقه‌بندی می‌شوند. این تحقیق بر روی مقالات مرتبط با کلمات کلیدی "یادگیری عمیق"، "امنیت" و "اینترنت اشیا" در چهار پایگاه داده اصلی IEEEXplore، ScienceDirect، SpringerLink و کتابخانه دیجیتال ACM متمرکز شده است. در پایان، 90 مقاله، انتخاب و بررسی شده است. این مطالعات با توجه به سه سؤال اصلی تحقیق، یعنی جنبه‌های امنیتی درگیر، معماری‌های شبکه یادگیری عمیق مورد استفاده و مجموعه داده‌های مورد استفاده در زمینه امنیت اینترنت اشیا انجام می‌شود. بحث نهایی، شکاف‌های تحقیقاتی را که باید بررسی شوند و اشکالات و آسیب‌پذیری‌های رویکردهای یادگیری عمیق در سناریوی امنیت اینترنت اشیا را برجسته می‌کند.
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