A new approach to hide data in color image using LSB steganography technique

Sultana, Zinia; Jannat, Fatima; Saumik, Sadman Sakib; Roy, Niloy; Datta, N.K.; Islam, Muhammad Nazrul

doi:10.1109/eict.2017.8275228

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…A large number of hidden information techniques have been proposed in the literature. Sultana [7] used a technique that adds double-layer security to hide secret data in an image using LSB algorithm, AES-128 encryption and a method to choose an index of an image pixel. A method to choose an index of the image pixel is a protocol between the sender and receiver to return original secret data at the receiver.…”

Section: Literature Reviewmentioning

confidence: 99%

An Approach to Hide an Audio File in Image Using LSB Technique

Msallam

2020

Al-Furat Journal of Innovations in Electronics and Computer Engineering

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Recently, the world is interested in moving data between various devices. When The data transfer over the internet, maybe it attacks and reads or modifies on containing it. So, Data transmission must be encrypted before sending it to read and interpret by the intended receiver. Thus, information security is more critical than it used to be. This paper reflects the implementation of the two Least Significant Bit (LSB) techniques is named sequential LSB and sorted LSB. It is done by embedding a secret audio file into a cover file of the image using the LSB techniques with an approach to choose the hiding index. The work proposed uses the conventional approach to the LBS techniques under the name sequential LSB as the basic steganography model to compare my algorithm which called sorted LSB. Based on results, the sorted LSB produces is the same sequential LSB in which the stego image is not recognized by human eyes, but the security more complex than the LSB sequential.

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Section: Literature Reviewmentioning

confidence: 99%

An Approach to Hide an Audio File in Image Using LSB Technique

Msallam

2020

Al-Furat Journal of Innovations in Electronics and Computer Engineering

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“…blue component of a pixel as that having lowest contribution to the color image according to human visual system investigation and other method to embed the data in smooth areas 1-3-4 LSBs insertion technique has been utilized which hides data in 1 bit in 1 LSB of Red component (Most significant byte), 3-bits in 3 LSBs of Green component and 4 bits in 4 LSBs of Blue component (least significant byte) of each selected pixel. Zinia Sultana et al [5] proposed a technique which adds double layer security to hide data in image using LSB algorithm, AES-128 encryption and a new approach of choosing index of image pixel. Secondly, they developed a steganography tool using proposed technique and evaluated the performance of the proposed technique using MSE, PSNR and by payload capacity which measures how much data can be hidden in an image using the steganography tool.…”

Section: Related Workmentioning

confidence: 99%

An Overview on LSB and LSB+HUFFMAN based Steganography

Lakshmi¹

2018

IJRASET

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Now a day's internet has became common use, with increase in use of internet providing security to information is also important. Steganography is a method to provide network security. Steganography is art of secret communication. It involves hiding information in an appropriate carrier e.g., text, image, audio, video. This paper uses two techniques for Steganography (text into image). Least Significant Bit (LSB) and Least Significant Bit with Huffman code (LSB+HUFF) and compares result using Peak Signal to Noise Ratio (PSNR).

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“…Literature [1] proposed a data hiding/protection strategy combining PVD (pixel value di erence), LSB, and MPE (modi cation of prediction error) to improve steganographic capacity and resistance to RS steganalysis. e literature [2] uses MSB (most signi cant bit) to select the best embedding point and combines the AES encryption algorithm to embed the ciphertext in the lowest signi cant bit of that point. Literature [3] implements a digital watermarking technique based on hybrid multibit multiplication rules by secret key control from the DWT domain.…”

Section: Introductionmentioning

confidence: 99%

An Improved Privacy Protection Algorithm for Multimodal Data Fusion

Chen

Shuai

Tian³

et al. 2022

Scientific Programming

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With the rapid development of Internet technology, the use and sharing of data have brought great opportunities and challenges to mankind. On the one hand, the development of data sharing and analysis technology has promoted the improvement of economic and social benefits. On the other hand, protecting private information has become an urgent issue in the Internet era. In addition, the amount and type of information data are also increasing. At present, most algorithms can only encrypt a single type of small-scale data, which cannot meet the current data environment. Therefore, it is very necessary to study the privacy protection algorithm of multimodal data fusion. To improve the security of privacy protection algorithm, combined with the idea of multimode, this paper combines the improved traditional spatial steganography algorithm LSB matching method and the improved traditional transform domain steganography algorithm DCT with AES encryption algorithm after modifying the S-box and then combines it with image stitching technology, so as to realize a safe and reliable privacy protection algorithm of multimode information fusion. The algorithm completes the hidden communication of private information, which not only ensures that the receiver can accurately recover private information in the process of information transmission but also greatly improves the security of private information transmission.

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A new approach to hide data in color image using LSB steganography technique

Cited by 7 publications

References 6 publications

An Approach to Hide an Audio File in Image Using LSB Technique

An Approach to Hide an Audio File in Image Using LSB Technique

An Overview on LSB and LSB+HUFFMAN based Steganography

An Improved Privacy Protection Algorithm for Multimodal Data Fusion

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