Towards a formally verified zero watermarking scheme for data integrity in the Internet of Things based-wireless sensor networks

Hameed, Khizar; Khan, Abid; Ahmed, Mansoor; Reddy, Alavalapati Goutham; Rathore, M. Mazhar

doi:10.1016/j.future.2017.12.009

Cited by 56 publications

(20 citation statements)

References 31 publications

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“…Zero watermark-based techniques are dependent on text features. Several methods and solutions of Zero-Text based watermarking have been proposed as in the studies [12], [15], [25]- [29].…”

Section: Zero Watermark-based Techniquesmentioning

confidence: 99%

“…This algorithm conceals an invisible watermark within a digital text and can be extracted later to check the accuracy and reliability of text contents. A zero watermarkbased method [15] has been proposed to ensure the data integrity over the internet of things in which watermark is embedded in plain text before its transmission. Generated watermark key is based on some features of contents such as data size, data appearance frequency, and time of data capturing.…”

Section: Zero Watermark-based Techniquesmentioning

confidence: 99%

“…Digital Holy Qur'an in Arabic, eChecks, online exams and marks are some cases of such sensitive digital text contents. Various features of Arabic alphabets like diacritics, extended letters, and other Arabic symbols make it easy to change the main meaning of text contents by making simple modifications such as changing diacritics arrange-Copyright c 2020 The Institute of Electronics, Information and Communication Engineers ments [11], [15]. HMM is the most common technique of natural language processing (NLP) which is used for text analysis.…”

Section: Introductionmentioning

confidence: 99%

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Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

Al‐Wesabi

2020

IEICE Trans. Inf. & Syst.

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The security and reliability of Arabic text exchanged via the Internet have become a challenging area for the research community. Arabic text is very sensitive to modify by malicious attacks and easy to make changes on diacritics i.e. Fat-ha, Kasra and Damma, which are represent the syntax of Arabic language and can make the meaning is differing. In this paper, a Hybrid of Natural Language Processing and Zero-Watermarking Approach (HNLPZWA) has been proposed for the content authentication and tampering detection of Arabic text. The HNLPZWA approach embeds and detects the watermark logically without altering the original text document to embed a watermark key. Fifth level order of word mechanism based on hidden Markov model is integrated with digital zero-watermarking techniques to improve the tampering detection accuracy issues of the previous literature proposed by the researchers. Fifth-level order of Markov model is used as a natural language processing technique in order to analyze the Arabic text. Moreover, it extracts the features of interrelationship between contexts of the text and utilizes the extracted features as watermark information and validates it later with attacked Arabic text to detect any tampering occurred on it. HNLPZWA has been implemented using PHP with VS code IDE. Tampering detection accuracy of HNLPZWA is proved with experiments using four datasets of varying lengths under multiple random locations of insertion, reorder and deletion attacks of experimental datasets. The experimental results show that HNLPZWA is more sensitive for all kinds of tampering attacks with high level accuracy of tampering detection.

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“…Zero watermark-based techniques are dependent on text features. Several methods and solutions of Zero-Text based watermarking have been proposed as in the studies [12], [15], [25]- [29].…”

Section: Zero Watermark-based Techniquesmentioning

confidence: 99%

Section: Zero Watermark-based Techniquesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

Al‐Wesabi

2020

IEICE Trans. Inf. & Syst.

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“…Hameed et al [30] had proposed a zero-watermarking technique (ZWT) that generates a watermark from the properties of the, sensed data. After encrypting the watermark using a shared secret key, the sensor embeds the encrypted watermark at the end of the sensed data before it is sent to the base station.…”

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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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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“…In this article, some sensor nodes that can collect more abundant video, audio, and image information are added to the WSN. 8,9 These different nodes form a distributed sensor network with storage, computing, and communication capabilities. The WSN [10][11][12] uses multimedia sensor nodes to perceive various media information in the surrounding environment.…”

Section: Introductionmentioning

confidence: 99%

Design and application of system with dual-control of water and electricity based on wireless sensor network and video recognition technology

Chen

Huang

et al. 2018

International Journal of Distributed Sensor Networks

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In the industrial Internet of Things, water and electricity is the most important hidden project. Its requirements are very high, especially the intelligent control of water and electricity. Therefore, a design and application of system with dualcontrol of water and electricity is proposed and convolutional neural networks-based video recognition technology is used to identify the security issues that occur in the field. Some sensors are used to control the use of water and electricity, while others are used to collect scalar data which include user's data and video multimedia data in the wireless sensor network. The scalar data are used to update the user's database, and the video multimedia data are used to monitor and prevent anomalies from occurring in the field of dual-control of water and electricity. In order to solve the security problem of the user in wireless sensor network, this article proposes a radio frequency identification mutual security authentication protocol based on shared secret hash function. Finally, experiments show that the proposed secure authentication protocol can guarantee the secure transmission of data between the sensor node and the server, and the video recognition technology can recognize some abnormalities well.

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Towards a formally verified zero watermarking scheme for data integrity in the Internet of Things based-wireless sensor networks

Cited by 56 publications

References 31 publications

Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

Proposing High-Smart Approach for Content Authentication and Tampering Detection of Arabic Text Transmitted via Internet

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

Design and application of system with dual-control of water and electricity based on wireless sensor network and video recognition technology

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