An efficient energy-aware trust-based RPL protocol for Internet of Things
الموضوعات :
Farzaneh Kaviani
1
,
Mohammadreza Soltanaghaei
2
,
Farsad Zamani Boroujeni
3
1 - Department of Computer Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
2 - Department of Computer Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
3 - Department of Computer Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran
الکلمات المفتاحية: Internet of Things (IoT), Trust models, Energy-aware, RPL protocol, intrusion detection systems (IDS),
ملخص المقالة :
The Internet of Things (IoT) is considered as one of the newest communication technologies for various applications. On the other hand, it has faced many challenges that one of the most important of which is related to the security. Due to many limitations, IoT is very vulnerable to attacks, and it is highly exposed to attacks due to its sensitive applications. Various studies have been introduced to improve IoT security. Most of methods have focused on improving the security of the RPL protocol (as the IoT routing standard) based on the development of trust models. However, most of these researches have considered behaviors to calculate the value of trust. This way of assessing trust is not enough due to the widespread attacks of malicious nodes. In this paper, an improved method is proposed based on RPL development utilizing trust models with intrusion detection system. The proposed method focuses on three important principles, including establishing secure and reliable routing topology, evaluating trust, and detecting malicious nodes. In the first step, the network routing topology is formed based on the trust and conditions of the nodes. In the second step, in accordance with the data exchanges, the trust of the nodes is evaluated and malicious factors are identified. The simulation results using Cooja indicated the superiority of the proposed method in improving routing reliability and data exchange over previous operations.
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