Enhancing Security in IoT Networks Through RDAD for Attack Detection in RPL-Enabled Environments

Enhancing Security in IoT Networks Through RDAD for Attack Detection in RPL-Enabled Environments

연구 분야: Analysis

학회: SN Computer Science

The “Internet of Things” (IoT) revolutionizes technology integration, enabling interconnected devices to communicate both among themselves and with the online realm. These smart gadgets collect valuable data, facilitating remote sharing via networked connections. Yet, their constrained memory, power, and computational capacities pose challenges. Within IoT, devices vary in functionality, from fully capable to limited subsets. These communication methods are integral to IoT's existence. Security is paramount when deploying IoT applications due to the inevitability of routing attacks aiming to intercept data in transit. To thwart such unauthorized access, Rank Decreased Attack Detection (RDAD) emerges as a crucial solution. Developed with IoT in mind, the Routing Protocol for Low-Power and Lossy Networks (RPL) serves as an anticipatory routing protocol. In an IoT environment, routing flaws can obscure data, thus highlighting the significance of RPL's topology-building process, which prioritizes nodes based on a ranking measure. RDAD proposes a mechanism that considers a parent node's Packet Delivery Ratio (PDR) to select trustworthy routing paths for data packets. Comparative analysis reveals RDAD's superiority over existing detection methods, significantly enhancing packet delivery rates and minimizing losses. With a detection rate of nearly 96.5% for RDA attacks, RDAD emerges as a potent safeguard for IoT routing security.