• Proceedings of the Korean Information Science Society Conference
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• 2005.07a
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• pp.235-237
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• 2005

디지털 형식으로 저장되어 있는 데이터의 불법적인 복사와 재분배는 전자상거래 상에서 디지털 컨텐츠를 판매하는 상점에게 매우 큰 문제가 된다. 핑거프린팅 기법은 암호학적인 기법들을 이용하여 디지털 컨텐츠를 불법적으로 재배포한 사용자를 찾아냄으로써 저작자의 저작권을 보호한다. 비대칭적 핑거프린팅 기법은 대칭적인 기법과 달리 사용자만이 핑거프린트가 삽입된 컨텐츠를 알 수 있어 사용자가 컨텐츠를 재배포했을 경우만 사용자가 고발되는 기법이다. 본 논문에서는 신뢰기관을 이용한 비대칭적 핑거프린팅 기법을 제안한다. 사용자의 핑거프린트는 신뢰기관이 생성하고 사용자의 익명공개키 쌍과 준동형의 암호를 이용하여 컨텐츠에 핑거프린트를 삽입함으로써 상점은 사용자의 핑거프린트를 알 수 없도록 하여 비대칭성을 만족하여 컨텐츠가 재배포되었을 경우 상점은 신뢰기관으로부터 정보를 받아 재배포자를 추적할 수 있다.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.7
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• pp.288-295
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• 2007

The illegal copying and redistribution of digitally-stored information is a crucial problem to distributors who electronically sell digital data. fingerprinting scheme is a technique which supports copyright protection to track redistributors of electronic information using cryptographic techniques. Anonymous asymmetric fingerprinting scheme prevents the merchant from framing a buyer by making the fingerprinted version known to the buyer only. And this scheme allows the buyer to purchase goods without revealing her identity to the seller. In this paper, a new anonymous asymmetric fingerprinting scheme with TTP is introduced. The buyer's fingerprint is generated by the Fingerprint Certificate Authority which is a TTP. When the seller embeds the fingerprint in the digital data, the protocol uses the homomorphic encryption scheme. Thus the seller cannot know the buyer's fingerprint and the buyer's anonymity is guaranteed by using anonymous key pair.

• Journal of the Korea Society of Computer and Information
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• v.14 no.7
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• pp.81-88
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• 2009

Fingerprinting scheme is a technique which supports the copyright protection to track redistributors of digital content using cryptographic techniques. These schemes enable the original merchant to identify the original buyer of the digital data by embedding fingerprints into digital contents. Asymmetric property of fingerprinting schemes is important to keep the buyer's privacy. In this paper, we propose a symmetric encryption based fingerprinting protocol without trusted third party. Our scheme enables the reduction of computational costs for the encryption using symmetric key encryption scheme. Since a trusted third party doesn't take part in making the fingerprint of each buyer, the protocol doesn't need to control the trusted third party and it is more secure against collusion attack.

• The KIPS Transactions:PartC
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• v.15C no.3
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• pp.167-172
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• 2008

Fingerprinting scheme supports the copyright protection to track redistributors of digital content using cryptographic techniques. Fingerprinting schemes should guarantee buyer's anonymity and asymmetry for their privacy. Most of known fingerprinting schemes adopt public-key cryptosystems to achieve asymmetry and discrete logarithm problem or graph isomorphism problem to achieve anonymity. However, these schemes are not suited in mobile environment because of the drawbacks of requiring high computational complexity. In this paper, we propose an efficient fingerprinting scheme for mobile environment to provide not only asymmetry of the protocol but also transaction anonymity of the buyer. By employing symmetric encryption to encrypt the digital content and adopting agent to perform the protocols, the efficiency of the proposed scheme is improved.

• Journal of KIISE:Computer Systems and Theory
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• v.36 no.5
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• pp.396-403
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• 2009

An anonymous asymmetric fingerprinting protocol combined with watermarking techniques, is one of the copyright protection technologies keeping both right of a seller and that of a buyer, where a seller and an anonymous buyer perform such a protocol that employs various cryptographic tools in order that the seller does not know the exact watermarked copy that the buyer receives, while inserting an invisible non-removable fingerprint i.e., each different unique watermark, into each copy of the digital content to be sold. In such a protocol innocent buyers are kept anonymous during transactions, however, the unlawful reseller is unambiguously identified with a real identity as a copyright violator. In 2007, Yong and Lee proposed an anonymous asymmetric fingerprinting scheme with trusted third party. In this paper we point out the weakness of their scheme such as: the buyer with intention can remove the fingerprint in the watermarked content, because he/she can decrypt the encrypted fingerprint with a symmetric key using man-in-the-middle-attack; a real identity of a buyer can be revealed to the seller through the identification process even though he/she is honest. Furthermore, we propose an improved secure and efficient anonymous asymmetric fingerprinting scheme which enables to reduce the number of communication between the participants.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2006.11a
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• pp.313-316
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• 2006

디지털 핑거프린팅(Digital Fingerprinting)은 기 밀 정보를 디지털 콘텐츠에 삽입하는 측면에서는 디지털 워터마킹과 동일 하다고 볼 수 있으나 저작권자나 판매자의 정보가 아닌 콘텐츠를 구매한 사용자의 정보를 삽입함으로써 콘텐츠 불법 배포자를 추적할 수 있도록 한다는 점에서 워터마킹과 차별화된 기술이다. 이러한 핑거프린팅 기술은 소유권에 대한 인증뿐만 아니라 개인 식별 기능까지 제공해야 하므로 기존의 워터마킹이 갖추어야 할 요구사항인 비가시성, 견고성, 유일성과 더불어 공모허용, 비대칭성, 익명성, 조건부 추적성 등이 부가적으로 필요하다. 본 논문에서는 행렬의 한 열을 선택 후 쉬프팅 기법을 사용 하서 사용자 정보로 조합하여 핑거프린트를 생성하였다. 이렇게 생성된 핑거프린트 정보를 2레벨 웨이블릿 변환 영역 중 LH2, HL2, HH2 부대역에 삽입하였다. 쉬프팅 정보와 도메인 개념을 사용하여 보다 많은 사용자에게 핑거프린트 정보를 삽입할 수 있으며, 공모공격과 JPEG 압축에서도 최소한 1명 이상의 공모자를 검출할 수 있는 핑거프린팅의 기본 조건을 만족하였다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.365-367
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• 2003

핑거프린팅 기법은 암호학적인 기법들을 이용하여 디지털 데이터를 불법적으로 재배포한 사용자를 찾아냄으로써 디지털 데이터의 저작권을 보호한다. 익명성이 보장되는 핑거프린팅 기법은 대칭적인 기법과 달리 사용자만이 핑거프린트가 삽입된 데이터를 알 수 있고 비대칭 기법과 달리 데이터가 재배포되기 전에는 사용자의 익명성이 보장되는 기법이다. 본 논문에서는 사용자의 익명성이 보장되는 새로운 핑거프린팅 기법을 제안한다. 비밀분산법을 이용하여 사용자의 신원정보를 숨겨두었다가 재배포 발견시 조정자에게 누가 재배포하였는지 증거를 제출함으로써 재배포자의 배포 사실을 증명한다. 또한 등록시에 Schnorr 서명을 이용하여 고발된 사용자가 범행을 부인할 수 없도록 한다. 제안된 방법은 이산대수문제와 양자간 안전한 계산과정의 안전성에 근거하여 사용자의 익명성이 보장된다.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.5_6
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• pp.353-359
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• 2004

The illegal copying and redistribution of digitally-stored information is a crucial problem to distributors who electronically sell digital data. Fingerprinting scheme is a techniques which supports copyright protection to track redistributors of electronic information using cryptographic techniques. Anonymous fingerprinting schemes, differ from symmetric fingerprinting, prevent the merchant from framing a buyer by making the fingerprinted version known to the buyer only. And the scheme, differ from asymmetric fingerprinting, allows the buyer to purchase goods without revealing her identity to the merchant. In this paper, a new anonymous fingerprinting scheme based on secret sharing is introduced. The merchant finds a sold version that has been distributed, and then he is able to retrieve a buyer's identity and take her to court. And Schnorr's digital signature prevents the buyer from denying the fact he redistributed. The buyer's anonymity relies on the security of discrete logarithm and secure two-party computations.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.4 s.310
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• pp.80-87
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• 2006

Recently, the distribution and using of the digital multimedia contents are easy by developing the internet application program and related technology. However, the digital signal is easily duplicated and the duplicates have the same quality compare with original digital signal. To solve this problem, there is the multimedia fingerprint which is studied for the protection of copyright. Fingerprinting scheme is a techniques which supports copyright protection to track redistributors of electronic inform on using cryptographic techniques. Only regular user can know the inserted fingerprint data in fingerprinting schemes differ from a symmetric/asymmetric scheme and the scheme guarantee an anonymous before recontributed data. In this paper, we present a new scheme which is the detection of colluded multimedia fingerprint by neural network. This proposed scheme is consists of the anti-collusion code generation and the neural network for the error correction. Anti-collusion code based on BIBD(Balanced Incomplete Block Design) was made 100% collusion code detection rate about the average linear collusion attack, and the hopfield neural network using (n,k)code designing for the error bits correction confirmed that can correct error within 2bits.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.5 s.311
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• pp.68-75
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• 2006

Multimedia fingerprinting protects multimedia content from illegal redistribution by uniquely marking every copy of the content distributed to each user. Differ from a symmetric/asymmetric scheme, fingerprinting schemes, only regular user can know the inserted fingerprint data and the scheme guarantee an anonymous before recontributed data. In this paper, we present a scheme which is the algorithm using LDPC(Low Density Parity Check) for detection of colluded multimedia fingerprint and correcting errors. This proposed scheme is consists of the LDPC block, Hopfield Network and the algorithm of anti-collusion code generation. Anti-collusion code based on BIBD(Balanced Incomplete Block Design) was made 100% collusion code detection rate about the linear collusion attack(average, AND and OR) and LD% block for the error bits correction confirmed that can correct error until AWGN 0dB.