• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.2
• /
• pp.327-338
• /
• 2018

On-line/off-line signature is a technique for performing heavy computations required for signature generation in the off-line stage and completing the final signature by a simple operation in the online stage. This is suitable for application environments that require immediate signing responses to multiple users. In this paper, we propose two new on-line/off-line signature schemes based on RSA problem. The first technique can generate a signature with a fixed base exponentiation when signing online, and the second technique can complete an online signature with a very simple calculation such as a hash operation. The security of both signatures is based on the RSA problem, which is proven to be tightly secure without security loss in the random oracle model.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.2 s.40
• /
• pp.275-283
• /
• 2006

Writers enroll their outcome to Program Deliberation & Mediation Committee and get the copyright preserved for the protection of IPR. The program registration is conducted through off-line and on-line methods, and especially on-line registration provides program registrants convenience along with the safety of property from external copyright invaders. However, it is a shortcoming that the integrity and confidentiality of the enrolled program cannot be guaranteed in case of internal factors such as system errors, administrator's illegal access and revision. This paper proposes the reliable system, ensuring programs and offering convenience of Digital signature management from the system errors and intruding factors by internal administrator, using the security of confidentiality, integrity and Multi-Signature Scheme for program.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.5 no.4
• /
• pp.33-40
• /
• 1995

This paper delas with the detection of freehand forgeries of signatures based on the averaged directional amplitudes of gradient vetor which are related to the overall shape of the handwritten signature and fuzzy ARTMAP neural network classifier. In the first step, signature images are extracted from the background by a process involving noise reduction and automatic thresholding. Next, twelve directional amplitudes of gradient vector for each pixel on the signature line are measure and averaged through the entire signature image. With these twelve averaged directional gradient amplitudes, the fuzzy ARTMAP neural network is trained and tested for the detection of freehand forgeries of singatures. The experimental results show that the fuzzy ARTMAP neural network cna lcassify a signature whether genuine or forged with greater than 95% overall accuracy.

• Journal of Korea Multimedia Society
• /
• v.3 no.6
• /
• pp.592-603
• /
• 2000

This paper is concerning off-line signature verification using a density function which is obtained by convolving the signature image with twelve-directional $5\times{5}$ gradient masks and the weighted fuzzy mean classifier. The twelve-directional density function based on Nevatia-Babu template gradient is related to the overall shape of a signature image and thus, utilized as a feature set. The weighted fuzzy mean classifier with the reference feature vectors extracted from only genuine signature samples is evaluated for the verification of freehand forgeries. The experimental results show that the proposed system can classify a signature whether it is genuine or forged with more than 98% overall accuracy even without any knowledge of varied freehand forgeries.

• The KIPS Transactions:PartB
• /
• v.11B no.6
• /
• pp.645-652
• /
• 2004

Among the biometrics, signature shows more larger variation than the other biometrics such as fingerprint and iris. In order to overcome this problem, we propose a robust offline signature verification method based on PCA and LDA. Signature is projected to vertical and horizontal axes by new grid partition method. And then feature extraction and decision is performed by PCA and LDA. Experimental results show that the proposed offline signature verification has lower False Reject Rate(FRR) and False Acceptance Rate(FAR) which are 1.45% and 2.1%, respectively.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.6 no.1
• /
• pp.115-129
• /
• 2010

As the fixed mobile communication tools using the internet are developed, the off-line services are serviced through on-line on the internet. our society is divided into the real world and the cyber world. In the cyber world, the authentication to the user is absolutely required. The authentication is divided into the real-name authentication and the anonymous authentication by the kind of the internet service provider. There are some ISPs needed the real-name authentication and there are others ISPs needed the anonymity authentication. The research about the anonymity authentication is steadily established to these days. In this paper, we analyze the problem about blind signature, group signature, ring signature, and traceable signature. And we propose a method of anonymity authentication using the public certificate. In the proposal, the anonymity certificate have the new structure and management. Certificate Authority issues several anonymity certificates to a user through the real-name authentication. Several anonymity certificates give non-linked and non-traceability to the attacker.

• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.31B no.7
• /
• pp.1-8
• /
• 1994

There are many research activities in various recognition areas using high calibered computing power. Among many areas, the signature recognition and verification have more difficulties than any other recognition area because signature itself contains many problems caused by a variation of psychological status of signer and other environment. In the case of signature, therefore, it is important to extract the better parameters required for the higher verification ratio. In this paper, signature pressure is extracted and used as feature parameters to determine whether the input signature is ture or forgery, and then input signature is verified by fuzzy similarity method. As a result of appling the fuzzy similarity method to the recognition system it is proven that the system has by far better verification ratio about 10% than existing methods.

• Journal of KIISE:Computer Systems and Theory
• /
• v.26 no.11
• /
• pp.1363-1372
• /
• 1999

에이전트 기반 이동 컴퓨팅 환경에서 전자 상거래를 구현하기 위해 가장 필요로 하는 것은 안전한 지불 구조를 제공하는 것이다. 본 연구에서는 불확정 전송 기법 1,2 을 사용한 비대화형 엔티티 인증 기법과 Horster 기법 4,5 을 기반으로 메시지 복원 기능을 제공하는 공정 은닉 서명 기법을 제시한다. 또한 이를 직접 Brands가 제시한 오프-라인 전자 지불 시스템 3,6 에 접목한다. 인증 단계가 비대화형으로 수행되므로 이동 엔티티 인증에 효율적이고, 메시지 복원 기능을 갖고 공개 검증 기능을 제공하는 은닉 서명을 적용하기 때문에 카운터 방식을 사용한 스마트 카드 기반 전자 지불 시스템 6 에 효과적으로 적용할 수 있었다. 전자 화폐에 대해서 신뢰 센터에 의한 공정성 검토 기능을 추가로 제공하므로 전자 지불 시스템의 신뢰성을 향상시킬 수 있다.Abstract The primary requirements for realizing the electronic commerce in agent based mobile computing environments are to implement the compatible secure payment framework. In this paper, we propose both the non-interactive entity authentication scheme that is combined with oblivious transfer protocol 1,2 and the message recovery fair blind signature based on Horster scheme 4,5 . And these techniques are directly applied to the Brand's off-line electronic payment system 3,6 . As the authentication processes are done by non-interactive manner, we can also get efficiency for mobile entity authentication. Additionally, as the used signature scheme provides a message recovery function with publicly verifiable properties, it is efficiently applicable to a counter based off-line electronic payment scheme 6 based on the additional device like smart card. Therefore, we can enhance the reliability of proposed electronic payment system based on the publicly verifiable fairness in its electronic cash by a trusted judge.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2000.11a
• /
• pp.250-255
• /
• 2000

This paper is concerning off-line signature verification using a density function which is obtained by convolving the signature image with twelve-directional 5$\times$5 gradient masks and the weighted fuzzy mean classifier. The twelve-directional density function based on Nevatia-Babu template gradient is related to the overall shape of a signature image and thus, utilized as a feature set. The weighted fuzzy mean classifier with the reference feature vectors extracted from only genuine signature samples is evaluated for the verification of freehand forgeries. The experimental results show that the proposed system can classify a signature whether genuine or forged with more than 98% overall accuracy even without any knowledge of vaned freehand forgeries.

• International Commerce and Information Review
• /
• v.8 no.1
• /
• pp.105-123
• /
• 2006

Electronic Promissory Note started to reducing complexity in paper Promissory Note. In Recent the electronic documents and signature have the same validity as per documents and handwritten signatures. The movement of dematerializing promissory note is becoming common, and the National Assembly proposed Electronic Promissory Note Act of 2001 which is now being discussed in Korea. Especially the Electronic Credits is now becoming the most important means for payment of the business procurement both in on-line commerce and off-line commerce. Electronic Promissory Note has the same legal effect as the promissory note except that the Act provides to the Electronic Promissory Note specially.