• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.23 no.4
• /
• pp.462-469
• /
• 2019

According to the survey of Ministry of the Interior and Safety in Korea, The number of public and private CCTV reached over ten million and is still increasing. Also with improving Image Processing Technology, it is possible to obtain diverse information. Recently, various services using CCTV are being provided. Therefore it is necessary to ensure CCTV image integrity. However there is no system to prove events in film yet. In this paper, we suggest system model that can manage, use and authenticate CCTV. This model allows a CCTV film to be verified by other nearby CCTVs' data. This model ensures film's integrity by using blockchain. And also, It addresses privacy problem in CCTV and file size problem in blockchain by using not large film data but much smaller analyzed data.

• Proceedings of the IEEK Conference
• /
• 2003.07e
• /
• pp.1815-1818
• /
• 2003

Digital watermarking is technique, which owner's information is inserted in digital image, with intention to protecting a copyright of digital image. In watermarking for copyright and authentication, watermark shouldn't be distorted or disappeared after general image processes like a compression and filtering. In this paper, we present a new digital image watermarking algorithm which combines the discrete wavelet transform (DWT) and the singular value decomposition (SVD). Simulation results show that the newly proposed algorithm is not only robust nevertheless variable attacks like noise, filtering and JPEG compression but also secure in application.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.11c
• /
• pp.1823-1826
• /
• 2003

본 논문에서는 디지털 영상의 인증 및 무결성을 위한 Fragile Watermarking 기법을 제안한다. 이 기법은 원 영상과 워터마크 영상을 각각 랜덤하게 섞고, 랜덤수와 LUT를 이용하여 워터마크를 LSB에 삽입하므로 보안성을 갖는다. 또한, 워터마크 삽입 추출과정에서 두 개의 비밀키와 XOR를 이용하여 간단히 처리할 수 있다. 실험을 통하여 영상의 변형 여부 및 조작 위치를 검출하였다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.520-522
• /
• 2014

Due to the availability of easy-to-use and powerful image editing tools, the authentication of digital images cannot be taken for granted and it gives rise to non-intrusive forgery detection problem because all imaging devices do not embed watermark. Forgery detection plays an important role in this case. In this paper, an effective framework for passive-blind method for copy-move image forgery detection is proposed, based on Gabor filter which is robust to illumination, rotation invariant, robust to scale. For the detection, the suspicious image is selected and Gabor wavelet is applied from whole scale space and whole direction space. We will extract the mean and the standard deviation as the texture features and feature vectors. Finally, a distance is calculated between two textures feature vectors to determine the forgery, and the decision will be made based on that result.

• International Journal of Computer Science & Network Security
• /
• v.23 no.7
• /
• pp.141-148
• /
• 2023

During the medical data transmissions, the protection of the patient information is vital. Hence this work proposes a spatial domain watermarking algorithm that enhances the data payload (capacity) while maintaining the authentication and data hiding. The code is distributed at every pixel of the digital image and not only in the regions of non-interest pixels. But the image details are still preserved. The performance of the proposed algorithm is evaluated using several performance measures such as the mean square error (MSE), the mean absolute error (MAE), and the peak signal to noise Ratio (PSNR), the universal image quality index (UIQI) and the structural similarity index (SSIM).

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.27 no.2
• /
• pp.233-240
• /
• 2017

Fingerprint authentication identifies individuals based on user specific information. It is widely used as it is convenient, secure and has no risk of leakage, loss, or forgotten. However, the latent fingerprints remaining on the smart device's surface are vulnerable to smudge attacks. We analyze the usage patterns of individuals using smart device and propose methods to reconstruct damaged fingerprint images using fingerprint smudges. We examine the feasibility of smudge attacks with frequent usage situations by reconstructing fingerprint smudges collected from touch screens. Finally, we empirically verify the vulnerability of fingerprint authentication systems by showing high attack rates.

• International journal of advanced smart convergence
• /
• v.8 no.2
• /
• pp.204-210
• /
• 2019

Mobile Crowd Computing is one of the most efficient and effective way to collect the Electronic health records and they are very intelligent in processing them. Mobile Crowd Computing can handle, analyze and process the huge volumes of Electronic Health Records (EHR) from the high-performance Cloud Environment. Electronic Health Records are very sensitive, so they need to be secured, authenticated and processed efficiently. However, security, privacy and authentication of Electronic health records(EHR) and Patient health records(PHR) in the Mobile Crowd Computing Environment have become a critical issue that restricts many healthcare services from using Crowd Computing services .Our proposed Efficient Multi-layer Encryption Framework(MLEF) applies a set of multiple security Algorithms to provide access control over integrity, confidentiality, privacy and authentication with cost efficient to the Electronic health records(HER)and Patient health records(PHR). Our system provides the efficient way to create an environment that is capable of capturing, storing, searching, sharing, analyzing and authenticating electronic healthcare records efficiently to provide right intervention to the right patient at the right time in the Mobile Crowd Computing Environment.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.11a
• /
• pp.1138-1141
• /
• 2010

모바일 기기나 ATM에서의 사용자 인증에는 PIN(Personal Identification Number)이 주로 사용된다. 그 이유는, PIN은 사용자가 외우기 쉽고 단순한 UI(User Interface)로 구현이 가능하다는 장점이 있기 때문이다. 하지만 PIN은 어깨너머 공격에 취약하다는 단점이 있다. 기존의 연구들은 이미지 기반, 인식 기반, PIN과 이미지의 혼합방식을 이용한 다양한 사용자 인증 방법들을 제안하였다. 하지만 이들 연구는 모바일의 작은 화면을 고려하지 않아 구현이 어렵거나, 어깨너머 공격에 취약하거나, 사용자에게 기억에 대한 부담을 증가시키는 등의 문제점이 있다. 본 논문에서는 PIN과 패턴 이미지를 결합하여 모바일 기기에 적합하면서, 어깨너머 공격에 대해 기존의 방법들에 비해 안전하고 사용자가 외워야 하는 기호(숫자, 이미지 등)가 적은 사용자 인증 방법을 제안한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.1
• /
• pp.1-9
• /
• 2009

In this paper, proposed digital image watermarking technique with lifting wavelet transformation. This watermark technique can be easily extended in video content fields. Therefore, we apply this watermark technique to layered depth image structure that is efficient compression method of multi-view video with depth images. This application steps are very simple, because watermark is inserted only reference image. And watermarks of the other view images borrow from reference image. Each view image of multi-view video may be guaranteed authentication and copyright.

• Journal of KIISE:Information Networking
• /
• v.34 no.3
• /
• pp.168-174
• /
• 2007

In this paper, we propose a reversible watermarking algorithm where an original image can be recovered from the watermarked image. Most watermarking algorithms cause degradation of image quality in original digital contents in the process of embedding watermarks. In the proposed algorithm, the original image can be obtained when the degradation is removed from the watermarked image after extracting watermark information. In the proposed algorithm, we utilize a peak point of image histogram and the location map and modify pixel values slightly to embed data. Because the peak point of image histogram and the location map are employed in this algorithm, there is no need of extra information transmitted to the receiving side. As the locations watermark embedding are identified using the location map, the amount of watermark data can increase through recursive embedding.