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Designing Efficient Sinkhole Attack Detection Mechanism in Edge-Based IoT Deployment.

Sumit Pundir¹, Mohammad Wazid¹, Devesh Pratap Singh¹

¹Department of Computer Science and Engineering, Graphic Era Deemed to be University, Dehradun 248 002, India.

Sensors (Basel, Switzerland)

|March 4, 2020

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A new intrusion detection scheme, SAD-EIoT, effectively combats sinkhole attacks in edge-based Internet of Things (EIoT) environments. This method enhances network security and reliability by accurately detecting malicious nodes, improving overall communication performance.

Area of Science:

Computer Science
Network Security
Internet of Things

Background:

Sinkhole attacks pose a significant threat to the functionality and reliability of edge-based Internet of Things (EIoT) networks.
These attacks disrupt communication by attracting normal nodes to malicious paths, leading to data loss, reduced throughput, and increased delay.

Purpose of the Study:

To propose an effective intrusion detection scheme, SAD-EIoT, to mitigate sinkhole attacks in EIoT environments.
To enhance the security, efficiency, and reliability of EIoT communications against sophisticated network threats.

Main Methods:

The SAD-EIoT scheme utilizes resource-rich edge nodes (edge servers) to detect sinkhole attacker nodes.
Detection is achieved through message exchange between edge nodes to identify malicious activities.

Keywords:

NS2 simulation edge computing internet of things (IoT)intrusion detection security sinkhole attack

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The scheme's performance was practically demonstrated and evaluated using the NS2 simulator.

Main Results:

SAD-EIoT achieved a high detection rate of approximately 95.83% and a low false positive rate of 1.03%.
The proposed scheme demonstrated superior performance compared to existing related schemes in detecting sinkhole attacks.
SAD-EIoT proved to be efficient in terms of computation and communication costs.

Conclusions:

SAD-EIoT offers a robust and efficient solution for detecting and mitigating sinkhole attacks in EIoT networks.
The scheme's high accuracy and low overhead make it suitable for critical applications like surveillance and monitoring systems.
SAD-EIoT significantly improves network performance parameters degraded by sinkhole attacks.