Data Authentication for Wireless Sensor Networks with High Detection Efficiency Based on Reversible Watermarking

Data authentication is an important part of wireless sensor networks (WSNs). Aiming at the problems of high false positive rate and poor robustness in group verification of existing reversible watermarking schemes in WSNs, this paper proposes a scheme using reversible watermarking technology to achieve data integrity authentication with high detection efficiency (DAHDE). The core of DAHDE is dynamic grouping and double verification algorithm. Under the condition of satisfying the requirement of the group length, the synchronization point is used for dynamic grouping, and the double verification ensures that the grouping will not be confused. According to the closely related characteristics of adjacent data in WSNs, a new data item prediction method is designed based on the prediction-error expansion formula, and a flag check bit is added to the data with embedded watermarking during data transmission to ensure the stability of grouping, by which the fake synchronization point can be accurately identified. Moreover, the embedded data can be recovered accurately through the reversible algorithm of digital watermarking. Analysis and experimental results show that compared with the previously known schemes, the proposed scheme can avoid false positive rate, reduce computation cost, and own stronger grouping robustness.

[1]  Zongda Wu,et al.  Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation , 2018, IEEE Transactions on Services Computing.

[2]  Adnan M. Alattar,et al.  > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < Reversible Watermark Using the Difference Expansion of A Generalized Integer Transform , 2022 .

[3]  Di Xiao,et al.  A reversible watermarking authentication scheme for wireless sensor networks , 2013, Inf. Sci..

[4]  Yi Shi,et al.  Embedding image watermarks in dc components , 2000, IEEE Trans. Circuits Syst. Video Technol..

[5]  Dajun Wu,et al.  A Lightweight Integrity Authentication Scheme based on Reversible Watermark for Wireless Body Area Networks , 2014, KSII Trans. Internet Inf. Syst..

[6]  Ioan-Catalin Dragoi,et al.  Local-Prediction-Based Difference Expansion Reversible Watermarking , 2014, IEEE Transactions on Image Processing.

[7]  A. Murat Tekalp,et al.  Lossless generalized-LSB data embedding , 2005, IEEE Transactions on Image Processing.

[8]  Xiong Li,et al.  A Secure Three-Factor User Authentication Protocol With Forward Secrecy for Wireless Medical Sensor Network Systems , 2020, IEEE Systems Journal.

[9]  Sushil Jajodia,et al.  Chaining watermarks for detecting malicious modifications to streaming data , 2007, Inf. Sci..

[10]  Chao Wang,et al.  Efficient reversible image watermarking by using dynamical prediction-error expansion , 2010, 2010 IEEE International Conference on Image Processing.

[11]  Ping Wang,et al.  Measuring Two-Factor Authentication Schemes for Real-Time Data Access in Industrial Wireless Sensor Networks , 2018, IEEE Transactions on Industrial Informatics.

[12]  Mohammed Atiquzzaman,et al.  Data Collection for Security Measurement in Wireless Sensor Networks: A Survey , 2019, IEEE Internet of Things Journal.

[13]  Zongda Wu,et al.  A Location Privacy-Preserving System Based on Query Range Cover-Up or Location-Based Services , 2020, IEEE Transactions on Vehicular Technology.

[14]  Yicong Zhou,et al.  Separable and Reversible Data Hiding in Encrypted Images Using Parametric Binary Tree Labeling , 2019, IEEE Transactions on Multimedia.

[15]  Hyoung Joong Kim,et al.  Reversible Data Hiding With Automatic Brightness Preserving Contrast Enhancement , 2019, IEEE Transactions on Circuits and Systems for Video Technology.

[16]  Bingo Wing-Kuen Ling,et al.  Maximizing lifetime of a wireless sensor network via joint optimizing sink placement and sensor-to-sink routing , 2017 .

[17]  Jun Tian,et al.  Reversible data embedding using a difference expansion , 2003, IEEE Trans. Circuits Syst. Video Technol..