آمار
| تعداد نشریات | 43 |
| تعداد شماره‌ها | 1,253 |
| تعداد مقالات | 15,411 |
| تعداد مشاهده مقاله | 51,249,513 |
| تعداد دریافت فایل اصل مقاله | 14,256,697 |
A Trust and Energy-based routing framework for the IoT network | ||
| مجله مهندسی برق دانشگاه تبریز | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 04 دی 1402 | ||
| نوع مقاله: علمی-پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22034/tjee.2023.56031.4609 | ||
| نویسندگان | ||
| آناهیتا محفوظی؛ یوسف درمانی* | ||
| دانشکده کامپیوتر - دانشگاه صنعتی خواجه نصیرالدین طوسی | ||
| چکیده | ||
| Today, when a connection is established between people's lives and the application space based on the Internet of Things (IoT), it is necessary to make the platform of this new technology more secure and reliable. The applications of IoT have an urgent need for security issues such as authentication, and trust, and many attacks can easily target the sensor nodes. To achieve this goal, we chose the RPL protocol due to its wide application and weak security. We investigated it using an innovative method of penetration testing that will be mentioned. In this research, an application-based selective forwarding attack has been implemented. The solution presented in the trust model can detect this type of attack and the attacker. In this solution, the signal strength indicator is used to detect the attacker, and the parameters of positive and negative behaviour are used to calculate the trust in the beta function. In this study, trust is calculated based on the application, and the attacking node reduces the signal strength instead of increasing it. The simulation results show that the proposed model has a high attack detection rate while also improving the packet delivery rate. | ||
| کلیدواژه‌ها | ||
| Internet of Things (IoT)؛ Routing Protocol for Low-Power and Lossy Networks (RPL)؛ trust؛ selective forwarding attack؛ energy؛ Received Signal Strength Indicator (RSSI) | ||
| مراجع | ||
|
| ||
|
آمار تعداد مشاهده مقاله: 88 |
||