• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.366-381
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• 2020

Steganography has been successfully employed in various applications, e.g., copyright control of materials, smart identity cards, video error correction during transmission, etc. Deep learning-based steganography models can hide information adaptively through network learning, and they draw much more attention. However, the capacity, security, and robustness of the existing deep learning-based steganography models are still not fully satisfactory. In this paper, three models for different cases, i.e., a basic model, a secure model, a secure and robust model, have been proposed for different cases. In the basic model, the functions of high-capacity secret information hiding and extraction have been realized through an encoding network and a decoding network respectively. The high-capacity steganography is implemented by hiding a secret image into a carrier image having the same resolution with the help of concat operations, InceptionBlock and convolutional layers. Moreover, the secret image is hidden into the channel B of carrier image only to resolve the problem of color distortion. In the secure model, to enhance the security of the basic model, a steganalysis network has been added into the basic model to form an adversarial network. In the secure and robust model, an attack network has been inserted into the secure model to improve its robustness further. The experimental results have demonstrated that the proposed secure model and the secure and robust model have an overall better performance than some existing high-capacity deep learning-based steganography models. The secure model performs best in invisibility and security. The secure and robust model is the most robust against some attacks.

• International Journal of Computer Science & Network Security
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• 제21권3호
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• pp.83-93
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• 2021

COVID-19 poses a major risk to global health, highlighting the importance of faster and proper diagnosis. To handle the rise in the number of patients and eliminate redundant tests, healthcare information exchange and medical data are transmitted between healthcare centres. Medical data sharing helps speed up patient treatment; consequently, exchanging healthcare data is the requirement of the present era. Since healthcare professionals share data through the internet, security remains a critical challenge, which needs to be addressed. During the COVID-19 pandemic, computed tomography (CT) and X-ray images play a vital part in the diagnosis process, constituting information that needs to be shared among hospitals. Encryption and image steganography techniques can be employed to achieve secure data transmission of COVID-19 images. This study presents a new encryption with the image steganography model for secure data transmission (EIS-SDT) for COVID-19 diagnosis. The EIS-SDT model uses a multilevel discrete wavelet transform for image decomposition and Manta Ray Foraging Optimization algorithm for optimal pixel selection. The EIS-SDT method uses a double logistic chaotic map (DLCM) is employed for secret image encryption. The application of the DLCM-based encryption procedure provides an additional level of security to the image steganography technique. An extensive simulation results analysis ensures the effective performance of the EIS-SDT model and the results are investigated under several evaluation parameters. The outcome indicates that the EIS-SDT model has outperformed the existing methods considerably.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권6호
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• pp.1674-1688
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• 2023

The remarkable advancement of quantum steganography offers enhanced security for quantum communications. However, there is a significant concern regarding the potential misuse of this technology. Moreover, the current research on identifying malicious quantum steganography is insufficient. To address this gap in steganalysis research, this paper proposes a specialized quantum steganalysis algorithm. This algorithm utilizes quantum machine learning techniques to detect steganography in general quantum secure communication schemes that are based on pure states. The algorithm presented in this paper consists of two main steps: data preprocessing and automatic discrimination. The data preprocessing step involves extracting and amplifying abnormal signals, followed by the automatic detection of suspicious quantum carriers through training on steganographic and non-steganographic data. The numerical results demonstrate that a larger disparity between the probability distributions of steganographic and non-steganographic data leads to a higher steganographic detection indicator, making the presence of steganography easier to detect. By selecting an appropriate threshold value, the steganography detection rate can exceed 90%.

• 한국전자거래학회지
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• 제8권4호
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• pp.167-181
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• 2003

인터넷의 발전과 더불어 멀티미디어 콘텐츠 제품도 많이 활성화되고 있다. 이는 인터넷을 통하여 배포되는 멀티미디어 콘텐츠가 상업성을 갖게되는 발판이 되었다. 그러나, 이러한 멀티미디어 컨텐츠는 복사가 자유롭기 때문에 워터마킹 기법만 사용하는 경우에는 상업적으로 사용되기에 많은 취약성을 가지고 있다. 따라서 본 논문에서는 공개키기반구조(PKI)를 이용하고 스테가노그래피 기법을 활용하여 멀티미디어 콘텐츠를 보호하기 위한 Secure DRM시스템을 제안한다. SDRM 시스템은 워터마킹 기술과 스테가노그래피 기술의 특이점을 보강하여 일반적인 DRM 시스템보다 더 강력하다. 따라서, SDRM을 통하여 사용자 인증뿐만 아니라 멀티미디어 콘텐츠의 불법복제 및 불법도용을 방지할 수 있다.

• ETRI Journal
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• 제43권3호
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• pp.561-570
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• 2021

This paper presents master key identifier based protocol steganography (MKIPS), a new approach toward creating a covert channel within the Secure Real-time Transfer Protocol, also known as SRTP. This can be achieved using the ability of the sender of Voice-over-Internet Protocol packets to select a master key from a pre-shared list of available cryptographic keys. This list is handed to the SRTP sender and receiver by an external key management protocol during session initiation. In this work, by intelligent utilization of the master key identifier field in the SRTP packet creation process, a covert channel is created. The proposed covert channel can reach a relatively high transfer rate, and its capacity may vary based on the underlying SRTP channel properties. In comparison to existing data embedding methods in SRTP, MKIPS can convey a secret message without adding to the traffic overhead of the channel and packet loss in the destination. Additionally, the proposed covert channel is as robust as its underlying user datagram protocol channel.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.285-291
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• 2022

With the growing exchange of data between individuals and institutions through various electronic communication, valuable data protection is in high demand to ensure that it is not hacked and that privacy is protected. Many security techniques, such as encryption and steganography, have emerged to prevent security breaches. The purpose of this research is to integrate cryptographic and steganography techniques to secure text message sending. The Rijndael algorithm was used to encrypt the text message, and the Least Significant Bit algorithm was also used to hide the encrypted message in a color image. Experiments on the suggested method have proven that it can improve the security of sent messages due to the human eye's inability to identify the original image from the image after it has been covered, as well as the encryption of the message using a password.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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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.

• 한국산업정보학회논문지
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• 제20권3호
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• pp.29-36
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• 2015

스테가노그래피는 은닉되어 전송되는 비밀 메시지의 존재 자체를 숨기는 기술이다. 일반적으로 은닉 자료의 지각 투명성, 수용 능력, 견고성 등을 기반으로 하는 새롭고 정교한 스테가노그래피 기법을 개발하는 것이 주목적 이다. 이 논문에서는 이미지 스테가노그래피 기법의 장점과 단점을 분석하고, 효과적인 적용방법을 제시한다. 결과적으로 재배열키를 적용하고, 보안성이 좋은 ELSB와 DCT를 기반으로 하는 이미지 스테가노그래피 기법이 효과적이다.

• 인터넷정보학회논문지
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• 제4권5호
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• pp.21-29
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• 2003

최근에 멀티미디어 콘텐츠의 전송이 활성화 되고 있다. 이는 인터넷을 통하여 배포되는 멀티미디어 콘텐츠가 상업성을 갖게되는 발판이 되었다. 그러나, 이러한 멀티미디어 컨텐츠는 복사가 자유롭기 때문에 워터마킹 기법만 사용하는 경우에는 상업적으로 사용되기에 많은 취약성을 가지고 있다. 따라서 본 논문에서는 스테가노그래피 기법을 이용하여 멀티미디어 콘텐츠를 보호하기 위한 안전한 DRM 시스템을 제안한다. 본 DRM 시스템은 워터마킹 기술과 스테가노그래피 기술의 특이점을 보강하여 일반적인 DRM 시스템보다 더 강력하다. 따라서, 본 시스템을 통하여 사용자 인증 뿐만 아니라 멀티미디어 콘텐츠의 불법복제 및 불법도용을 방지할 수 있다.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.466-469
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• 2009

This paper presents a modified QIM-JPEG2000 steganography which improves the previous JPEG2000 steganography using quantization index modulation (QIM). Post-embedding changes in file size and PSNR by the modified QIM-JPEG2000 are smaller than those by the previous QIM-JPEG2000. Steganalysis experiments to determine whether messages are embedded in given JPEG2000 images show that the modified QIM-JPEG2000 is more secure than the previous QIMJPEG2000.