Department of Cyber Security, National University of Computer and Emerging Sciences, Islamabad 44000, Pakistan.
Department of Computer Science, Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad 44000, Pakistan.
Sensors (Basel). 2022 Jun 16;22(12):4539. doi: 10.3390/s22124539.
Recently, the Internet of Things (IoT) has emerged as an important way to connect diverse physical devices to the internet. The IoT paves the way for a slew of new cutting-edge applications. Despite the prospective benefits and many security solutions offered in the literature, the security of IoT networks remains a critical concern, considering the massive amount of data generated and transmitted. The resource-constrained, mobile, and heterogeneous nature of the IoT makes it increasingly challenging to preserve security in routing protocols, such as the routing protocol for low-power and lossy networks (RPL). RPL does not offer good protection against routing attacks, such as rank, Sybil, and sinkhole attacks. Therefore, to augment the security of RPL, this article proposes the energy-efficient multi-mobile agent-based trust framework for RPL (MMTM-RPL). The goal of MMTM-RPL is to mitigate internal attacks in IoT-based wireless sensor networks using fog layer capabilities. MMTM-RPL mitigates rank, Sybil, and sinkhole attacks while minimizing energy and message overheads by 25-30% due to the use of mobile agents and dynamic itineraries. MMTM-RPL enhances the security of RPL and improves network lifetime (by 25-30% or more) and the detection rate (by 10% or more) compared to state-of-the-art approaches, namely, DCTM-RPL, RBAM-IoT, RPL-MRC, and DSH-RPL.
最近，物联网（IoT）已成为将各种物理设备连接到互联网的重要方式。物联网为许多新的尖端应用铺平了道路。尽管文献中提供了预期的好处和许多安全解决方案，但考虑到生成和传输的大量数据，物联网网络的安全性仍然是一个关键问题。物联网的资源受限、移动和异构性质使得在路由协议（如低功耗和有损网络的路由协议（RPL））中保持安全性变得越来越具有挑战性。RPL 不能很好地防止路由攻击，例如等级、Sybil 和黑洞攻击。因此，为了增强 RPL 的安全性，本文提出了基于能量有效的多移动代理的 RPL 信任框架（MMTM-RPL）。MMTM-RPL 的目标是利用雾层功能减轻基于物联网的无线传感器网络中的内部攻击。MMTM-RPL 通过使用移动代理和动态行程来减轻等级、Sybil 和黑洞攻击，同时将能量和消息开销最小化 25-30%。与最先进的方法相比，MMTM-RPL 增强了 RPL 的安全性，提高了网络寿命（提高 25-30%或更多）和检测率（提高 10%或更多），这些方法包括 DCTM-RPL、RBAM-IoT、RPL-MRC 和 DSH-RPL。
