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<p>In RPL-based IoT networks, especially at the edge where devices are highly constrained, security challenges are increasingly prominent. The core functionality of RPL does not inherently include mechanisms to detect or mitigate security attacks. Simulations demonstrate that blackhole attacks significantly degrade network performance, reducing Packet Delivery Ratio to as low as 24.74% and increasing latency up to 2.42&#xa0;s.This paper addresses this gap by proposing a novel lightweight approach for mitigating blackhole attacks using collaborative packet-based detection mechanisms. The proposed solution effectively detects and mitigates these attacks, improving PDR to 88.86%, reducing latency to 0.595&#xa0;s, and maintaining a minimal memory footprint compared to complex machine learning or heavy cryptographic RPL-based solutions. This study contributes to advancing security solutions tailored for edge-centric IoT environments, ensuring robust and reliable network operation.</p>

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Lightweight Novel Approach for Collaborative Packet-Based Mitigation of Blackhole Attacks in RPL-Based IoT

  • 期刊论文

  • 发表日期：

    2025年2月21日

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  • Mohammed Belkheir,
  • Mehdi Rouissat,
  • Allel Mokaddem,
  • Djamila Ziani,
  • Pascal Lorenz

摘要

In RPL-based IoT networks, especially at the edge where devices are highly constrained, security challenges are increasingly prominent. The core functionality of RPL does not inherently include mechanisms to detect or mitigate security attacks. Simulations demonstrate that blackhole attacks significantly degrade network performance, reducing Packet Delivery Ratio to as low as 24.74% and increasing latency up to 2.42 s.This paper addresses this gap by proposing a novel lightweight approach for mitigating blackhole attacks using collaborative packet-based detection mechanisms. The proposed solution effectively detects and mitigates these attacks, improving PDR to 88.86%, reducing latency to 0.595 s, and maintaining a minimal memory footprint compared to complex machine learning or heavy cryptographic RPL-based solutions. This study contributes to advancing security solutions tailored for edge-centric IoT environments, ensuring robust and reliable network operation.