Wireless Multimedia Sensor Networks (WMSNs) are commonly used for communicating sensitive data which help in many important decision makings, so that it is crucial to ensure the received data are not manipulated in transit and originated from the correct source. In the security perspective, however, the characteristics of WMSNs and the nature of multimedia make data authentication schemes more complex, especially for data integrity. In this regard, the aim of this paper is to investigate the feasibility of content-based authentication using image hashing technique as an alternative data authentication scheme in WMSNs. To assess the feasibility, the general requirements for image authentication in WMSNs are discussed in this paper. Additionally, the performance of five selected image hashing algorithms is measured with respect to robustness, sensitivity, and security. By comparing and analyzing the performance of the selected algorithms, this paper provides a perspective on the potential feasibility and limitations as an alternative to the traditional authentication scheme in WMSNs.
Although the perceptual image hashing is one of the promising techniques for image authentication, most existing methods cannot well distinguish content changing manipulations from acceptable content preserving modifications, especially when the size of the manipulated area is relatively small. In this regard, a new image hash algorithm is proposed to enhance the tamper detection capability by employing one of the most well-known local feature descriptors, Histogram of Oriented Gradients (HOG), for the feature extraction method. In this paper, image intensity transform using a random number generator, HOG feature computation, Successive Mean Quantization Transform (SMQT), and bit-level permutation are utilized to obtain a secure and robust hash value. Additionally, the performance of the proposed method is measured, and compared with existing algorithms by the Receiver Operating Characteristics (ROC) analysis.
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