• Title/Summary/Keyword: 위.변조 이미지

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Algorithm for Detecting Counterfeit Money based on Feature Analysis (특징 분석을 통한 위변조지폐 판별 알고리즘)

  • Ji, Sang-Keun;Lee, Hae-Yeoun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.04a
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    • pp.344-347
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    • 2012
  • 디지털 고성능 영상장비의 대중화와 강력한 이미지 편집 소프트웨어의 출현으로 인해 고화질의 위 변조지폐를 누구나 쉽게 제조 가능하게 되었다. 그러나 일반인의 위 변조지폐 발견비율은 낮은 수준이다. 본 논문에서는 범용 스캐너를 이용하여 위 변조지폐를 판별할 수 있는 시스템을 제안한다. 본 시스템에서는 위 변조지폐를 출력하는 과정에서 나타나는 인쇄물의 고유한 특징에 기반하여 위 변조 여부를 판별한다. 비지역적 평균 알고리즘을 이용하여 노이즈 특성을 추출하고, 명암도 작용길이 행렬을 계산하여 지폐의 특성을 추출하였다. 제안한 알고리즘의 성능을 분석하기 위해 총 324장의 1만원권 지폐와 위조지폐 이미지로 실험하였으며, 그 결과 제안한 알고리즘이 위 변조 판별에 있어서 92% 이상을 보임을 확인하였다.

A Study on Website Forgery/Falsification Detection Technique using Images (이미지를 이용한 웹사이트 위·변조 탐지 기법 연구)

  • Shin, JiYong;Cho, Jiho;Lee, Han;Kim, JeongMin;Lee, Geuk
    • Convergence Security Journal
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    • v.16 no.1
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    • pp.81-87
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    • 2016
  • In this paper, we propose a forgery/falsification detection technique of web site using the images. The proposed system captures images of the web site when a user accesses to the forgery/falsification web site that has the financial information deodorizing purpose. The captured images are compared with those of normal web site images to detect forgery/falsification. The proposed system calculates similarity factor of normal site image with captured one to detect whether the site is normal or not. If it is determined as normal, analysis procedure is finished. But if it is determined as abnormal, a message informs the user to prevent additional financial information spill and further accidents from the forgery web site.

Authentication and Restoration of Biometric image using Reversible Watermarking (리버서블 워터마킹을 이용한 생체정보 이미지의 인증 및 복원)

  • Lee Hye-Ran;Rhee Kyung-Hyun
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 2006.06a
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    • pp.115-118
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    • 2006
  • 생체정보에 대한 활용이 증가함에 따라 생체정보에 대한 보호문제가 대두되고 있다. 본 논문에서는 생체정보에 대한 인증을 위하여 리버서블 워터마킹 기법을 도입하였다. 생체정보에 대한 위 변조가 발생한 경우 워터마크를 통하여 위 변조의 유무 및 위치측정이 가능한 기법이며 위 변조가 발생하지 알은 경우 생체정보 이미지를 인증한 후, 리버서블 워터마크를 통하여 원래의 이미지로 복원이 가능한 기법이다. 생체정보 이미지는 워터마크 삽입 시에 발생하는 삽입왜곡이 문제가 될 수 있으므로 인증 된 이후에는 이러한 삽입왜곡을 없앰으로서 원본과 동일하게 복원한다.

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Analysis on Digital Image Composite Using Interpolation (보간을 이용한 디지털 이미지 합성 분석)

  • Song, Geun-Sil;Yun, Yong-In;Lee, Won-Hyung
    • Journal of Korea Multimedia Society
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    • v.13 no.3
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    • pp.457-466
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    • 2010
  • In this paper, we propose a new method for detecting digital forgery that identify interpolated region between digital composited images. For detecting the interpolation factor and the tampered regions, we perform two algorithms: The first algorithm is to estimate the interpolation factors using the differential equation for forgery image along the horizontal, vertical, and diagonal directions, respectively; The second algorithm is to scan the interpolation factors along each direction for detection areas as the mask of the optical window size($64{\times}64$) in order to find out the forgery region. A detection map of the forgery is classified with the magnitude of estimated interpolation factors into colors. This detection map can be used to find out interpolated regions from the tampered image. Experimental results demonstrate the proposed algorithms are proven on several examples. We also show the proposed approach is to accurately detect interpolated regions from digital composite images.

Counterfeit Money Detection Algorithm using Non-Local Mean Value and Support Vector Machine Classifier (비지역적 특징값과 서포트 벡터 머신 분류기를 이용한 위변조 지폐 판별 알고리즘)

  • Ji, Sang-Keun;Lee, Hae-Yeoun
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.1
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    • pp.55-64
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    • 2013
  • Due to the popularization of digital high-performance capturing equipments and the emergence of powerful image-editing softwares, it is easy for anyone to make a high-quality counterfeit money. However, the probability of detecting a counterfeit money to the general public is extremely low. In this paper, we propose a counterfeit money detection algorithm using a general purpose scanner. This algorithm determines counterfeit money based on the different features in the printing process. After the non-local mean value is used to analyze the noises from each money, we extract statistical features from these noises by calculating a gray level co-occurrence matrix. Then, these features are applied to train and test the support vector machine classifier for identifying either original or counterfeit money. In the experiment, we use total 324 images of original money and counterfeit money. Also, we compare with noise features from previous researches using wiener filter and discrete wavelet transform. The accuracy of the algorithm for identifying counterfeit money was over 94%. Also, the accuracy for identifying the printing source was over 93%. The presented algorithm performs better than previous researches.

Website Falsification Detection System Based on Image and Code Analysis for Enhanced Security Monitoring and Response (이미지 및 코드분석을 활용한 보안관제 지향적 웹사이트 위·변조 탐지 시스템)

  • Kim, Kyu-Il;Choi, Sang-Soo;Park, Hark-Soo;Ko, Sang-Jun;Song, Jung-Suk
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.24 no.5
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    • pp.871-883
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    • 2014
  • New types of attacks that mainly compromise the public, portal and financial websites for the purpose of economic profit or national confusion are being emerged and evolved. In addition, in case of 'drive by download' attack, if a host just visits the compromised websites, then the host is infected by a malware. Website falsification detection system is one of the most powerful solutions to cope with such cyber threats that try to attack the websites. Many domestic CERTs including NCSC (National Cyber Security Center) that carry out security monitoring and response service deploy it into the target organizations. However, the existing techniques for the website falsification detection system have practical problems in that their time complexity is high and the detection accuracy is not high. In this paper, we propose website falsification detection system based on image and code analysis for improving the performance of the security monitoring and response service in CERTs. The proposed system focuses on improvement of the accuracy as well as the rapidity in detecting falsification of the target websites.

A Liveness Detection for Face Recognition System with Infrared Image (적외선 영상을 사용한 얼굴 인식 시스템에서의 위, 변조 영상 판별)

  • Kang, Ji-Woon;Cho, Sung-Won;Chung, Sun-Tae;Kim, Sang-Hoon;Chang, Un-Dong
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2008.04a
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    • pp.429-431
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    • 2008
  • 생체 인식 기술이 사회 전반에 걸쳐 다양하게 사용되어짐에 따라 인식기술 중의 하나인 Face Recognition 은 하루가 다르게 발전하고 있다. 하지만, 그와 함께 해킹방법도 다양화되어지고 있다. 그럼에도 불구하고, 위, 변조 영상 판별(Liveness Detection) 분야에 관련된 연구들은 초기 단계를 벗어나지 못하고 있다. 본 논문에서는 적외선 영상을 이용하여 동공부분의 반사 정도를 이용하여 실제 이미지와 위, 변조 이미지를 판별하는 방법을 제안한다.

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Fax Sender Verification Technique Based on Pattern Analysis for Preventing Falsification of FAX Documents (팩스 문서 위·변조 방지를 위한 패턴 분석 기반의 팩스 송신처 검증 기법)

  • Kim, Youngho;Choi, Hwangkyu
    • Journal of Digital Contents Society
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    • v.15 no.4
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    • pp.547-558
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    • 2014
  • Recently, in the course of business processes a variety of abuse cases of fax documents is common in general corporate, government, and financial institutions. To solve this problem, it is necessary for a technique to prevent falsification of fax documents. In this paper, we propose a new fax sender verification technique based on pattern analysis to prevent falsification of fax documents only using the received fax document. In the proposed technique, the fax sender is verified by analyzing the communication signal patterns between the fax sender and receiver and image pattern in the received fax document. In this paper, we conduct the experiments that apply our technique to real-world fax systems, and then tamper-proof effects were confirmed from the experimental results.

A study of Web page monitoring system to prevent file modification attack (WMS(Webpage Monitoring System)을 이용한 웹 페이지 변조 감시 시스템에 관한 연구)

  • Lee, Sang-Kyu;Yoo, Chuck
    • Proceedings of the Korean Information Science Society Conference
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    • 2007.10d
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    • pp.104-107
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    • 2007
  • 현대 사회의 정보전달 매체는 대부분 웹을 통해 이뤄진다. 특히 기업의 경우에는 자신들의 홈페이지를 통해 회사소개, 제품소개 등의 정보를 전달하고 있다. 홈페이지는 단순 정보전달의 기능분만 아니라 기업의 이미지를 대표하는 심볼로 사용되어진다. 이러한 웹 페이지는 보안솔루션을 이용하여 외부로부터 위 변조를 예방하고 있으나 한계를 가진다. 이 논문에서는 보안솔루션을 우회 또는 내부사용자로부터 위 변조된 웹 페이지를 모니터링 하여 피해를 최소화하는 방안을 제시한다.

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Image Watermarking for Identification Forgery Prevention (신분증 위변조 방지를 위한 이미지 워터마킹)

  • Nah, Ji-Hah;Kim, Jong-Weon;Kim, Jae-Seok
    • The Journal of the Korea Contents Association
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    • v.11 no.12
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    • pp.552-559
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    • 2011
  • In this paper, a new image watermarking algorithm is proposed which can hide specific information of an ID card's owner in photo image for preventing ID's photo forgery. Proposed algorithm uses the image segmentation and the correlation peak position modulation of spread spectrum. The watermark embedded in photo ensures not only robustness against printing and scanning but also sufficient information capacity hiding unique number such as social security numbers in small-sized photo. Another advantage of proposed method is extracting accurate information with error tolerance within some rotation range by using $2^h{\times}2^w$ unit sample space not instead $1{\times}1$ pixels for insertion and extraction of information. 40 bits information can be embedded and extracted at $256{\times}256$ sized ID photo with BER value of 0 % when the test condition is 300dpi scanner and photo printer with 22 photos. In conclusion, proposed algorithm shows the robustness for noise and rotational errors occured during printing and scanning.