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Sensors
Volume 18
Issue 12
10.3390/s18124346
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Article

A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications

by
Arwa Alromih
1,*,
Mznah Al-Rodhaan
2 and
Yuan Tian
2
1
Information Systems Department, King Saud University, Riyadh 12371, Saudi Arabia
2
Computer Science Department, King Saud University, Riyadh 12371, Saudi Arabia
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(12), 4346; https://doi.org/10.3390/s18124346
Received: 11 November 2018 / Revised: 27 November 2018 / Accepted: 6 December 2018 / Published: 9 December 2018
(This article belongs to the Special Issue Privacy and Security for Resource Constrained IoT Devices and Networks)
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Abstract

Using Internet of Things (IoT) applications has been a growing trend in the last few years. They have been deployed in several areas of life, including secure and sensitive sectors, such as the military and health. In these sectors, sensory data is the main factor in any decision-making process. This introduces the need to ensure the integrity of data. Secure techniques are needed to detect any data injection attempt before catastrophic effects happen. Sensors have limited computational and power resources. This limitation creates a challenge to design a security mechanism that is both secure and energy-efficient. This work presents a Randomized Watermarking Filtering Scheme (RWFS) for IoT applications that provides en-route filtering to remove any injected data at an early stage of the communication. Filtering injected data is based on a watermark that is generated from the original data and embedded directly in random places throughout the packet’s payload. The scheme uses homomorphic encryption techniques to conceal the report’s measurement from any adversary. The advantage of homomorphic encryption is that it allows the data to be aggregated and, thus, decreases the packet’s size. The results of our proposed scheme prove that it improves the security and energy consumption of the system as it mitigates some of the limitations in the existing works. View Full-Text
Keywords: Internet of Things (IoT); wireless sensor network (WSN); data integrity; watermark; data injection attack Internet of Things (IoT); wireless sensor network (WSN); data integrity; watermark; data injection attack
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
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MDPI and ACS Style

Alromih, A.; Al-Rodhaan, M.; Tian, Y. A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications. Sensors 2018, 18, 4346. https://doi.org/10.3390/s18124346

AMA Style

Alromih A, Al-Rodhaan M, Tian Y. A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications. Sensors. 2018; 18(12):4346. https://doi.org/10.3390/s18124346

Chicago/Turabian Style

Alromih, Arwa, Mznah Al-Rodhaan, and Yuan Tian. 2018. "A Randomized Watermarking Technique for Detecting Malicious Data Injection Attacks in Heterogeneous Wireless Sensor Networks for Internet of Things Applications" Sensors 18, no. 12: 4346. https://doi.org/10.3390/s18124346

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