تشخیص حملات منع سرویس توزیع شده در اینترنت اشیاء با استفاده از رویکرد رأی گیری اکثریت

مهندسی مخابرات جنوب

دوره 13، شماره 49، مهر 1402، صفحه 23-48   

نوع مقاله: مقاله پژوهشی

شناسه دیجیتال (DOI): 10.30495/jce.2023.1984927.1201

نویسندگان

حبیب اله مزارعی¹؛ مرضیه دادور^{* 1}؛ محمدهادی اتابک زاده²

¹گروه کامپیوتر، واحد بوشهر، دانشگاه آزاد اسلامی، بوشهر،ایران

²گروه ریاضی، واحد بوشهر، دانشگاه آزاد اسلامی، بوشهر،ایران

چکیده

با افزایش روزافزون دستگاه های اینترنت اشیاء، امنیت آنها به موضوعی بسیار نگران کننده تبدیل شده است. اقدامات امنیتی ضعیف، مهاجمان را قادر می سازد تا دستگاه‌های اینترنت اشیاء را مورد حمله قرار دهند. یکی از این حملات، حمله منع سرویس توزیع شده است. بنابراین وجود سیستمهای تشخیص نفوذ در اینترنت اشیاء، از اهمیت ویژه ای برخوردار است. در این پژوهش، از رویکرد گروهی رأی گیری اکثریت که زیرمجموعه یادگیری ماشین است جهت تشخیص و پیش بینی حملات استفاده شده است. انگیزه استفاده از این روش، دستیابی به دقت تشخیص بهتر و نرخ مثبت کاذب بسیار پایین با ترکیب چند الگوریتم طبقه بندی یادگیری ماشین، در شبکه‌های ناهمگن اینترنت اشیاء است. در این پژوهش از مجموعه داده جدید و بهبود یافته CICDDOS2019 برای ارزیابی روش پیشنهادی استفاده شده است. نتایج شبیه‌سازی نشان می‌دهد که با اعمال روش گروهی رأی گیری اکثریت روی پنج حمله از این مجموعه داده، این روش به ترتیب به دقت تشخیص 99.9668%، 99.9670%، 100%، 99.9686% و 99.9674% در شناسایی حملات DNS، NETBIOS، LDAP، UDP و SNMP دست یافت که نسبت به مدلهای پایه، عملکرد بهتر و پایدارتری در تشخیص و پیش بینی حملات، از خود نشان داده است.

کلیدواژه‌ها

اینترنت اشیاء؛ سیستم تشخیص نفوذ؛ حمله منع سرویس توزیع شده؛ یادگیری ماشین؛ رأی گیری اکثریت

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