ارائه یک روش جهت تشخیص و تقلیل حملات انکار سرویس در اینترنت اشیا از طریق شبکه‌های نرم‌افزارمحور
محورهای موضوعی : مهندسی برق و کامپیوتر
فاطمه مطیع شیرازی
1
(دانشگاه یزد)
سیداکبر مصطفوی
2
(دانشگاه یزد)
کلید واژه: شبکه‌های نرم‌افزار محور, اینترنت اشیاء , حمله انکار سرویس توزیع شده , آنتروپی,
چکیده مقاله :
اینترنت اشیا (IoT) به‌طور مداوم به علت مشکلات فنی، قانونی و انسانی تحت حملات متعدد قرار می‌گیرد. یکی از مهم‌ترین این حملات، حمله منع سرویس (DoS) است که در آن سرویس‌های عادی شبکه از دسترس خارج می‌شوند و دسترسی اشیا، و کاربران به سرور و سایر منابع ناممکن می‌شود. راهکارهای امنیتی موجود نتوانسته است به‌طور مؤثر از حملات وقفه در خدمات اینترنت اشیا جلوگیری کند. قابلیت برنامه ریزی و مدیریت شبکه توسط شبکه نرم افزارمحور( SDN) را می‌توان در معماری IoT به کار گرفت. SDN در صورت استقرار مناسب در مرکز داده می‌تواند به تقلیل یا جلوگیری از سیل داده‌های ناشی از IoT کمک کند. در این مقاله راهکاری برای تشخیص و تقلیل حملات DoS توزیع شده (DDoS) در اینترنت اشیاء بر پایه SDN ارائه می شود. روش پیشنهادی مبتنی بر معیار آنتروپی و شروع جریان و مطالعه مشخصات جریان است. در این روش با استفاده از دو مؤلفه جدید روی کنترل کننده و در نظر گرفتن پنجره زمانی و محاسبه آنتروپی و نرخ جریان، حمله در شبکه تشخیص داده می شود. ارزیابی ها نشان می دهد که این روش حملات را با دقت بالا شناسایی کرده و اثرات آنها را تقلیل می دهد.
Internet of Things (IoT) is a network of objects on which objects can communicate with other objects. The Internet of Things is currently constantly under numerous attacks due to technical, legal and human problems. One of the most important of these attacks is the Denial of Service (DoS) attack, in which normal network services are out of service and it is impossible for objects and users to access the server and other resources. Existing security solutions have not been able to effectively prevent interruption attacks in Internet of Things services. Software-oriented network (SDN) is a new architecture in the network based on the separation of the control and data plane of the network. Programmability and network management capability by SDN can be used in IoT services because some IoT devices send data periodically and in certain time intervals. SDN can help reduce or prevent the data flood caused by IoT if properly deployed in the data center. In this article, a method to detect DDoS attacks in Internet of Things based on SDN is presented and then an algorithm to reduce DDoS attacks is presented. The proposed method is based on the entropy criterion, which is one of the most important concepts in information theory and is calculated based on the characteristics of the flow. In this method, by using two new components on the controller to receive incoming packets and considering the time window and calculating entropy and flow rate, a possible attack is detected in the network, and then based on the statistics of the flow received from the switches, the certainty of the attack is determined. Compared to the existing methods, the proposed method has improved 12% in terms of attack detection time and 26% in terms of false positives/negatives.
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