A Reversible Watermarking Scheme Based on Difference Expansion for Wireless Sensor Networks

Ding, Qun; Wang, Baowei; Sun, Xingming; Wang, Jinwei; Shen, Jian

doi:10.14257/ijgdc.2015.8.2.14

Cited by 10 publications

(6 citation statements)

References 16 publications

(17 reference statements)

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“…Reversible watermarking techniques were proposed in [34,35,36]. Shi et al [34] proposed a reversible watermarking algorithm based on prediction-error expansion.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Alromih

Al-Rodhaan

Tian

2018

Sensors

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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.

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“…Reversible watermarking techniques were proposed in [34,35,36]. Shi et al [34] proposed a reversible watermarking algorithm based on prediction-error expansion.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Ding et al [35] proposed a similar end-to-end algorithm (called RDE), in which the watermark is generated based on the difference expansion. The algorithm groups n data items and uses them all to calculate the watermark.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Alromih

Al-Rodhaan

Tian

2018

Sensors

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show abstract

“…Reversible watermarking techniques were proposed in [21], [22] and [23]. Shi et al in [21] proposed a reversible watermarking algorithm based on prediction-error expansion.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Ding et al [22] had proposed a similar end-to-end algorithm called (RDE), but instead, the watermark is generated based on the difference expansion. The algorithm groups data items and uses them all to calculate the watermark.…”

Section: Literature Reviewmentioning

confidence: 99%

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

Alromih

Al-Rodhaan

Tian

2018

Preprint

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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 like 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 get rid of 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 proved that it improves the security and energy consumption of the system as it mitigates some of the limitations in the existing works.

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Evaluation and Analysis of Reversible Watermarking Techniques in WSN for Secure, Lightweight Design of IoT Applications: A Survey

Araghi

Megías

Rosales

2023

Lecture Notes in Networks and Systems

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A Reversible Watermarking Scheme Based on Difference Expansion for Wireless Sensor Networks

Abstract: Wireless sensor networks are self-organized and data-centric. Sensors

Cited by 10 publications

References 16 publications

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

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

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

Evaluation and Analysis of Reversible Watermarking Techniques in WSN for Secure, Lightweight Design of IoT Applications: A Survey

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