PRIS: Image processing tool for dealing with criminal cases using steganography technique

Ibrahim, Rosziati; Kuan, Teoh Suk

doi:10.1109/icdim.2011.6093348

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…There was found different steganography techniques utilized for hiding data like least significant bits (LSB), batch steganography, permutation steganography, and bit-plane complexity segmentation (BPCS). a new technique that is used to hide data inside the audiovisual files proposed by [21]. In steganography technique, to hide text, the secret text has to be hidden in a cover message.…”

Section: Related Workmentioning

confidence: 99%

An Improved Method for Hiding Text in Image Using Header Image

Mustafa

2022

WJCMS

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The necessities of steganography methods for hiding secret message into images have been ascend. Thereby, this study is to generate a practical steganography procedure to hide text into image. This operation allows the user to provide the system with both text and cover image, and to find a resulting image that comprises the hidden text inside. The suggested technique is to hide a text inside the header formats of a digital image. Least Significant Bit (LSB) method to hide the message or text, in order to keep the features and characteristics of the original image are used. A new method is applied via using the whole image (header formats) to hide the image. From the experimental results, suggested technique that gives a higher embedding of several stages of complexity. Also, LSB method via using the whole image is to increase the security and robustness of the proposed method as compared to state-of the-art methods.

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Section: Related Workmentioning

confidence: 99%

An Improved Method for Hiding Text in Image Using Header Image

Mustafa

2022

WJCMS

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“…Based on optical images, the artificial neural network is used to train the model of the features (shape and position, etc.) of the single sample sets; the tracking system of fish cultivation is established, which is also suitable for the detection under occlusion [7] . Through the analysis of low-quality video streams, a low-speed underwater fish detection, tracking, and counting model is proposed, which can update the dynamic background adaptively, but the false detection rate is high [8] .…”

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confidence: 99%

Marine pasture monitoring system based on edge computing

Qin

2023

J. Phys.: Conf. Ser.

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With the continuous optimization and upgrading of Marine development, it is particularly important to build Marine pastures that play a pivotal role in the Marine economy. This study discusses the problems and key technologies faced by the construction of Marine pastures. It uses the underwater Internet of Things technology to propose a smart ocean pasture solution based on edge computing and designs a three-level and six-layer system architecture from top to bottom. Taking the target object of the perception layer, fish, for example, is processed and analyzed from the environmental elements and biological characteristics. The watercolor, species, and quantity are monitored. This realizes the purpose of systematic monitoring and early warning of Marine pasture and provides a technical reference for realizing intelligent ocean engineering with high performance and low power consumption.

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