زیرساخت سخت‌افزاری-نرم‌افزاری امنیت سایبری برای حفاظت داده‌ها در شبکه‌ حسگری بی‌سیم کشاورزی هوشمند با قابلیت پردازش سیگنال

صفری دهنوی, عبداله; صفری دهنوی, وحید

doi:10.48301/kssa.2024.476579.2982

زیرساخت سخت‌افزاری-نرم‌افزاری امنیت سایبری برای حفاظت داده‌ها در شبکه‌ حسگری بی‌سیم کشاورزی هوشمند با قابلیت پردازش سیگنال

نوع مقاله : مقاله پژوهشی (کاربردی)

نویسندگان

عبداله صفری دهنوی ¹

وحید صفری دهنوی ²

¹ گروه مهندسی کشاورزی، دانشگاه ملی مهارت، تهران، ایران

² گروه مهندسی برق، دانشگاه صنعتی امیرکبیر، تهران، ایران

10.48301/kssa.2024.476579.2982

چکیده

با افزایش جمعیت و رشد تقاضا برای محصولات کشاورزی، بهره‌گیری از فناوری‌های نوین برای افزایش بهره‌وری ضروری هست. شبکه‌های حسگر بی‌سیم، به عنوان یکی از فناوری‌های کلیدی در کشاورزی هوشمند، امکان پایش مستمر و دقیق پارامترهای محیطی نظیر دما و رطوبت را فراهم می‌کنند. این سیستم‌ها با انتقال بی‌سیم اطلاعات به مراکز کنترل، امکان مدیریت بهینه منابع را در اختیار کشاورزان قرار می‌دهد. این فناوری با چالش‌های مهمی نظیر امنیت اطلاعات و کارایی در محیط‌های ناهمگن و پراکنده مواجه است. با مرور تحقیقات پیشین مشخص شد که مقالات موجود به صورت جامع به امنیت و کارایی این سیستم‌ها نپرداخته‌اند. بنابراین، هدف این مقاله، ارائه یک راهکار جامع برای بهبود کارایی شبکه‌های حسگر بی‌سیم در کشاورزی هوشمند است. همچنین، سخت‌افزارهای مناسب برای پایش دقیق پارامترهای محیطی، از جمله حسگرهای دما و رطوبت، معرفی و پیاده‌سازی شده است. به منظور بهبود دقت پردازش داده و کنترل، از شبکه عصبی کانولوشنی بهینه شده با الگوریتم ژنتیک برای تشخیص عیب و از الگوریتم کنترلی پیشنهادی برای کنترل سرعت موتورهای کشاورزی استفاده شد. پروتکل امنیتی پیشنهادی به صورت رسمی و غیررسمی با استفاده از ابزار اسکایتر ارزیابی شد. نتایج نشان‌دهنده بهبود قابل توجهی در امنیت اطلاعات و کاهش مصرف انرژی بود. همچنین با استفاده از داده‌های آزمایش ارتعاش به دقت 99.92% و با استفاده همزمان از داده‌های ارتعاش و آکوستیک به دقت 99.96% دست یافتیم که بیانگر موثر بودن ترکیب داده‌ها برای تشخیص عیب هست. به علاوه، الگوریتم کنترلی به خوبی توانست سرعت موتور را در حالت بدون عیب و با عیب کنترل کند.

کلیدواژه‌ها

شبکه‌های حسگر بی‌سیم

کشاورزی هوشمند

سخت افزار

پروتکل امنیتی

تشخیص عیب

موضوعات

مهندسی کشاورزی

عنوان مقاله English

Hardware-Software Cyber Security Platform for Data Protection in Smart Agricultural Wireless Sensor Network With Signal Processing Capability

نویسندگان English

Abdolah Safari Dehnavi ¹

Vahid Safari Dehnavi ²

¹ Department of agriculture engineering, National University of Skills (NUS), Tehran, Iran

² Department of electrical engineering, Amirkabir university of technology, Tehran, Iran

چکیده English

With the increase in population and the growth of demand for agricultural products, it is necessary to use new technologies to increase productivity. Wireless sensor networks, as one of the key technologies in smart agriculture, enable continuous and accurate monitoring of environmental parameters such as temperature and humidity. These systems provide farmers with the possibility of optimal management of resources by wirelessly transmitting information to control centers. This technology faces important challenges, such as information security and efficiency in heterogeneous and distributed environments. Reviewing the previous research found that the existing articles have not comprehensively addressed the security and efficiency of these systems. Therefore, this paper aims to provide a comprehensive solution to improve the efficiency of wireless sensor networks in smart agriculture. Also, appropriate hardware for accurate monitoring of environmental parameters, including temperature and humidity sensors, has been introduced and implemented. To improve the accuracy of data processing and control, the optimized convolutional neural network with a genetic algorithm was used for fault detection, and the proposed control algorithm was used to control the speed of agricultural motors. The proposed security protocol was formally and informally evaluated using the Scyther tool. The results showed a significant improvement in information security and reduced energy consumption. Also, by using vibration data, we achieved 99.92% accuracy for test data, and by simultaneously using vibration and acoustic data, we achieved 99.96% test accuracy, indicating the data combination's effectiveness for fault detection.

کلیدواژه‌ها English

Wireless sensor networks

Smart agriculture

Hardware

Security protocol

Fault detection

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