• Title/Summary/Keyword: Steganography

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LSB Image Steganography Based on Blocks Matrix Determinant Method

  • Shehzad, Danish;Dag, Tamer
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3778-3793
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    • 2019
  • Image steganography is one of the key types of steganography where a message to be sent is hidden inside the cover image. The most commonly used techniques for image steganography rely on LSB steganography. In this paper, a novel image steganography technique based on blocks matrix determinant method is proposed. Under this method, a cover image is divided into blocks of size $2{\times}2$ pixels and the determinant of each block is calculated. The comparison of the determinant values and corresponding data bits yields a delicate way for the embedment of data bits. The main aim of the proposed technique is to ensure concealment of secret data inside an image without affecting the cover image quality. When the proposed steganography method is compared with other existing LSB steganography methods, it is observed that it not only provides higher PSNR, lower MSE but also guarantees better quality of the stego image.

A Research on Threats of Steganography-based Botnets constructed over the SNS Environment (SNS 환경에서의 Steganography 기반 Botnets 구축 가능성 조사 및 대응방안 연구)

  • Jeon, Jaewoo;Cho, Youngho
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2019.01a
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    • pp.111-114
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    • 2019
  • 최근 봇넷(Botnet)은 PC 뿐만 아니라 IoT 기기를 대상으로 확대되어 구축되고 있으며, 최신 기술들이 적용되면서 탐지와 방어가 어렵도록 구축되고 있다. 특히, 해커와 테러범 사이에서 많이 활용되는 정보 은닉 기술인 스테가노그래피(Steganography)가 적용된 Botnet(Stego-botnet)이 출현하였는데, 기존의 Botnet 형태와는 달리 SNS 환경을 Botnet 개체 사이의 통신 기반으로 활용하며 Steganography 기술로 통신 내용을 숨겨 탐지가 어렵기 때문에 그 위험성과 피해가 심각할 수 있다. 본 논문에서는 SNS 환경에서의 Steganography 기반 Botnet 구축 가능성을 조사하고, 실제로 카카오톡을 활용한 Steganography 기반 Botnet 통신 가능성을 실험한 후 결과를 제시하며, Steganography 기반 Botnet에 대한 탐지 및 역추적 방안을 간략히 제안한다.

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A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis

  • Hussain, Israr;Zeng, Jishen;Qin, Xinhong;Tan, Shunquan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.3
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    • pp.1228-1248
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    • 2020
  • Steganalysis & steganography have witnessed immense progress over the past few years by the advancement of deep convolutional neural networks (DCNN). In this paper, we analyzed current research states from the latest image steganography and steganalysis frameworks based on deep learning. Our objective is to provide for future researchers the work being done on deep learning-based image steganography & steganalysis and highlights the strengths and weakness of existing up-to-date techniques. The result of this study opens new approaches for upcoming research and may serve as source of hypothesis for further significant research on deep learning-based image steganography and steganalysis. Finally, technical challenges of current methods and several promising directions on deep learning steganography and steganalysis are suggested to illustrate how these challenges can be transferred into prolific future research avenues.

UN-Substituted Video Steganography

  • Maria, Khulood Abu;Alia, Mohammad A.;Alsarayreh, Maher A.;Maria, Eman Abu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.1
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    • pp.382-403
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    • 2020
  • Steganography is the art of concealing the existence of a secret data in a non-secret digital carrier called cover media. While the image of steganography methods is extensively researched, studies on other cover files remain limited. Videos are promising research items for steganography primitives. This study presents an improved approach to video steganography. The improvement is achieved by allowing senders and receivers exchanging secret data without embedding the hidden data in the cover file as in traditional steganography methods. The method is based mainly on searching for exact matches between the secret text and the video frames RGB channel pixel values. Accordingly, a random key-dependent data is generated, and Elliptic Curve Public Key Cryptography is used. The proposed method has an unlimited embedding capacity. The results show that the improved method is secure against traditional steganography attacks since the cover file has no embedded data. Compared to other existing Steganography video systems, the proposed system shows that the method proposed is unlimited in its embedding capacity, system invisibility, and robustness. The system achieves high precision for data recovery in the receiver. The performance of the proposed method is found to be acceptable across different sizes of video files.

Steganalysis of adaptive JPEG steganography by selecting DCT coefficients according to embedding distortion

  • Song, Xiaofeng;Liu, Fenlin;Yang, Chunfang;Luo, Xiangyang;Li, Zhenyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.12
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    • pp.5209-5228
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    • 2015
  • According to the characteristics of adaptive JPEG steganography which determines the changed DCT coefficients based on embedding distortion, a new steganalysis method by selecting the DCT coefficients with small distortion values is proposed. Firstly, the principle of adaptive JPEG steganography through minimizing distortion is introduced. Secondly, the practicability of selecting the changed DCT coefficients according to distortion values is studied. Thirdly, the proposed steganalysis method is given and the embedding sensitivity of the steganalysis feature extracted from the selected DCT coefficients is analyzed. Lastly, the implement processes of the proposed method are presented and analyzed in details. In the experiments, PQt, PQe and J-UNIWARD steganography are used as examples to verify the effect of the proposed steganalysis method for adaptive JPEG steganography. A serial experimental results show the detection accuracy can be improved obviously, especially when the payload is relatively low.

A Study and improved Approach of Text Steganography (텍스트 스테가노그래프의 개선된 접근과 연구)

  • Ji, Seon-Su
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.5
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    • pp.51-56
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    • 2014
  • In the digital world of the internet, steganography is introduced to hide the existence of the secret communication by concealing a secret message inside another unsuspicious cover medium. The third parties are unaware that a stego medium is being communicated. There exists a large variety of steganography methods based on texts. In this paper, analyzed the advantages and significant disadvantages of each existing text steganography method and how new approach could be proposed as a solution. The objective of this paper is to propose a method for hiding the secret messages in safer manner from external attacks by encryption rearrangement key.

An Improved Coverless Text Steganography Algorithm Based on Pretreatment and POS

  • Liu, Yuling;Wu, Jiao;Chen, Xianyi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.4
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    • pp.1553-1567
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    • 2021
  • Steganography is a current hot research topic in the area of information security and privacy protection. However, most previous steganography methods are not effective against steganalysis and attacks because they are usually carried out by modifying covers. In this paper, we propose an improved coverless text steganography algorithm based on pretreatment and Part of Speech (POS), in which, Chinese character components are used as the locating marks, then the POS is used to hide the number of keywords, the retrieval of stego-texts is optimized by pretreatment finally. The experiment is verified that our algorithm performs well in terms of embedding capacity, the embedding success rate, and extracting accuracy, with appropriate lengths of locating marks and the large scale of the text database.

Generative Linguistic Steganography: A Comprehensive Review

  • Xiang, Lingyun;Wang, Rong;Yang, Zhongliang;Liu, Yuling
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.3
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    • pp.986-1005
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    • 2022
  • Text steganography is one of the most imminent and promising research interests in the information security field. With the unprecedented success of the neural network and natural language processing (NLP), the last years have seen a surge of research on generative linguistic steganography (GLS). This paper provides a thorough and comprehensive review to summarize the existing key contributions, and creates a novel taxonomy for GLS according to NLP techniques and steganographic encoding algorithm, then summarizes the characteristics of generative linguistic steganographic methods properly to analyze the relationship and difference between each type of them. Meanwhile, this paper also comprehensively introduces and analyzes several evaluation metrics to evaluate the performance of GLS from diverse perspective. Finally, this paper concludes the future research work, which is more conducive to the follow-up research and innovation of researchers.

Steganography: A Flexible Embedded Randomization Technique

  • Khaled H., Abuhmaidan;Ahmad K., Kayed;Maryam, Alrisia
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.1
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    • pp.120-144
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    • 2023
  • With the expansion of digital communication networks, a considerable number of randomization techniques have been invented and implemented to enhance the different data transmission algorithms' levels of security. Steganography is among the data transmissions techniques used to hide secret data. Nowadays, several randomization techniques have been used in steganography to elevate the security of transmitted data. Unfortunately, the majority of these techniques lack some simplicity, efficiency, and flexibility, in addition to other limitations. This research presents a new randomization technique called Rand-Stego. Rand-Stego could be applied/practiced over any steganography technique. It provides simplicity and efficiency and elevates the security level. Examples of implementing the proposed technique on some steganography algorithms will be explored. The proposed and current techniques will be compared. The obtained results show Rand-Stego's superiority in terms of efficiency and flexibility when compared to the current techniques.

Research Trends in Steganography Based on Artificial Intelligence (인공지능 기반 스테가노그래피 생성 기술 최신 연구 동향)

  • Hyun Ji Kim;Se Jin Lim;Duk Young Kim;Se Young Yoon;Hwa Jeong Seo
    • Smart Media Journal
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    • v.12 no.4
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    • pp.9-18
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    • 2023
  • Steganography is a technology capable of protecting data by hiding the existence of data. Recently, with the development of deep learning technology, deep learning-based steganography are being developed. Deep learning can learn by analyzing high-dimensional features of data, so it can improve the performance and quality of steganography. In this paper, we investigated the research trend of image steganography based on deep learning.