Wavelet based imperceptible medical image watermarking using spread-spectrum

Kumar, Basant; Kumar, Shishu Bind; Chauhan, Digvijay Singh

doi:10.1109/tsp.2015.7296412

Cited by 14 publications

(1 citation statement)

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“…Template‐based methods are sensitive to template estimation attacks and tailoring becomes the major limitation. In other words, Kumar et al used watermarking technologies that are based on Discrete Cosine Transform (DCT) and Wavelet transformation for image proceeding. Following that, hiding secret messages into frequency denotes the load of embedded information the secret message is too big.…”

Section: Related Workmentioning

confidence: 99%

CHAMELEON: Hides privacy in cloud IoT system by LSB and CSE

Zhao

Zhu

et al. 2019

Concurrency and Computation

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Summary Recently, in a variety of Internet of Things (IoT) application scenarios, fingerprint image as a common biological information has been widely collected. For example, in safe city projects, civil fingerprints representing unique identification are vastly assembled, stored, and transmitted wirelessly. Under such situations, data privacy protection becomes increasingly valued. In our study, this fundamental problem was centered. In our work, the method to remain secure in such an universal cloud based IoT system and the approach to hide important information in biologically collected data such are fully discussed. A new lightweight algorithm in protecting the privacy and integrity of data in a cloud based IoT system is badly needed. We believe that it is a way to hide the core information in the surrounding environment just like “Chameleon” to protect the data security. Thus, in this paper, we propose “CHAMELEON” by using least significant bits (LSB) to hide important information in fingerprint images and chaotic sequence encryption (CSE) to securely transmit useful data. The experimental results of this algorithm show that Chameleon can resist static attacks and protect the privacy of users regarding to the information security and integrity.

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Section: Related Workmentioning

confidence: 99%