ارائه یک راهبرد دفاعی جدید و کارا برای مقابله با حمله بیزانسی در شبکه‌های حسگر بی‌سیم

نوع مقاله : مقاله پژوهشی

نویسندگان

دانشکده مهندسی برق و کامپیوتر، دانشگاه تبریز، تبریز، ایران

چکیده

ویژگی‌ها و محدودیت‌های شبکه‌های حسگر بی‌سیم باعث شده است که امنیت این شبکه‌ها با چالش‌های جدی مواجه باشد. در این مقاله یکی از رایج‌ترین حملات موجود در شبکه‌های حسگری با نام حمله بیزانسی مورد بررسی قرار می‌گیرد. با در نظر گرفتن یک شبکه حسگری با یک مرکز جمع‌آوری داده متحرک، یک روش ادغام داده بهینه پیشنهاد می‌گردد که قادر است معیار نیومن پیرسون را در یک روش خاص از ادغام داده سخت پیاده کند، به این معنی که با ثابت نگه داشتن خطای هشدار غلط، احتمال آشکارسازی را حداکثر کند. با استفاده از تحلیل‌های آماری داده‌ها، در حالت‌های مختلف از تعداد حسگرها و تعداد مهاجمین در شبکه، یک مدل بسته با سرعت قابل‌قبول برای یافتن پارامترهای روش ارائه می‌شود. سپس یک روش شناسایی مهاجمین به‌کار گرفته می‌شود که با استفاده از فاصله همینگ گزارشات هر حسگر با تصمیم نهایی، اقدام به تشخیص مهاجم می‌کند. شبیه‌سازی‌ها بهبود حاصل از اعمال روش پیشنهادی در تصمیم‌گیری و همچنین کارآیی روش تشخیص مهاجمین را نسبت به سایر روش‌های موجود به‌وضوح نمایش می‌دهند.

کلیدواژه‌ها

موضوعات

عنوان مقاله [English]

A New Efficient Defense Strategy against Byzantine Attack in Wireless Sensor Networks

نویسندگان [English]

  • M. Sharifi
  • M. Mohassel Feghhi
Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
چکیده [English]

Wireless sensor networks’ characteristics and limitations have led to severe challenges in their security. In this paper, one of the most common attacks, named as the Byzantine attack, has been studied. A sensor network with a mobile data fusion center is considered, and an optimized data collecting method is proposed which can apply the Neyman-Pearson criterion in a particular case of hard decision making. It means that keeping the false alarm rate constant, the detection probability is maximized. Using statistical data analysis, a closed model is obtained with an acceptable speed of convergence in a various number of sensors and attackers in the network. Then a novel malicious sensor detection scheme is exploited to identify the attack strength using the Hamming distance between every sensor report and the final decision. The simulation results show the superior performance of applying the proposed method in the decision process and also the proposed attack detection method in comparison with the conventional methods.

کلیدواژه‌ها [English]

  • Byzantine Attack
  • Wireless Sensor Networks
  • Neyman-Pearson Criterion
  • Data Fusion
  • Hamming Distance

مراجع

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