The Experts below are selected from a list of 29106 Experts worldwide ranked by ideXlab platform
Alfred Menezes - One of the best experts on this subject based on the ideXlab platform.
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The Elliptic Curve Digital Signature Algorithm (ECDSA)
International Journal of Information Security, 2001Co-Authors: Don Johnson, Alfred MenezesAbstract:The Elliptic Curve Digital Signature Algorithm (ECDSA) is the elliptic curve analogue of the Digital Signature Algorithm (DSA). It was accepted in 1999 as an ANSI standard and in 2000 as IEEE and NIST standards. It was also accepted in 1998 as an ISO standard and is under consideration for inclusion in some other ISO standards. Unlike the ordinary discrete logarithm problem and the integer factorization problem, no subexponential-time algorithm is known for the elliptic curve discrete logarithm problem. For this reason, the strength-per-key-bit is substantially greater in an algorithm that uses elliptic curves. This paper describes the ANSI X9.62 ECDSA, and discusses related security, implementation, and interoperability issues.
T C Chiang - One of the best experts on this subject based on the ideXlab platform.
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Dual function seal: visualized Digital Signature for electronic medical record systems
Journal of medical systems, 2012Co-Authors: Y.c. Yu, T W Hou, T C ChiangAbstract:Digital Signature is an important cryptography technology to be used to provide integrity and non-repudiation in electronic medical record systems (EMRS) and it is required by law. However, Digital Signatures normally appear in forms unrecognizable to medical staff, this may reduce the trust from medical staff that is used to the handwritten Signatures or seals. Therefore, in this paper we propose a dual function seal to extend user trust from a traditional seal to a Digital Signature. The proposed dual function seal is a prototype that combines the traditional seal and Digital seal. With this prototype, medical personnel are not just can put a seal on paper but also generate a visualized Digital Signature for electronic medical records. Medical Personnel can then look at the visualized Digital Signature and directly know which medical personnel generated it, just like with a traditional seal. Discrete wavelet transform (DWT) is used as an image processing method to generate a visualized Digital Signature, and the peak signal to noise ratio (PSNR) is calculated to verify that distortions of all converted images are beyond human recognition, and the results of our converted images are from 70 dB to 80 dB. The Signature recoverability is also tested in this proposed paper to ensure that the visualized Digital Signature is verifiable. A simulated EMRS is implemented to show how the visualized Digital Signature can be integrity into EMRS.
Don Johnson - One of the best experts on this subject based on the ideXlab platform.
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The Elliptic Curve Digital Signature Algorithm (ECDSA)
International Journal of Information Security, 2001Co-Authors: Don Johnson, Alfred MenezesAbstract:The Elliptic Curve Digital Signature Algorithm (ECDSA) is the elliptic curve analogue of the Digital Signature Algorithm (DSA). It was accepted in 1999 as an ANSI standard and in 2000 as IEEE and NIST standards. It was also accepted in 1998 as an ISO standard and is under consideration for inclusion in some other ISO standards. Unlike the ordinary discrete logarithm problem and the integer factorization problem, no subexponential-time algorithm is known for the elliptic curve discrete logarithm problem. For this reason, the strength-per-key-bit is substantially greater in an algorithm that uses elliptic curves. This paper describes the ANSI X9.62 ECDSA, and discusses related security, implementation, and interoperability issues.
Leonardo De Souza Mendes - One of the best experts on this subject based on the ideXlab platform.
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the hurst parameter for Digital Signature of network segment
International Conference on Telecommunications, 2004Co-Authors: Mario Lemes Proenca, Camiel Coppelmans, Mauricio Luis Bottoli, Antonio Marcos Alberti, Leonardo De Souza MendesAbstract:This paper presents results of the Hurst parameter for Digital Signature of network segments. It’s also presented a model for Digital Signature automatic generation which aims at the characterization of traffic in network segments. The use of the Digital Signature allows the manager to: identify limitations and crucial points of the network; establish the real use of network resources; better control the use of resources and the establishment of thresholds for the generation of more accurate and intelligent alarms which suit the real network characteristics. The obtained results validate the experiment and show in practice significant advantages in networks management.
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ICT - The Hurst Parameter for Digital Signature of Network Segment
Telecommunications and Networking - ICT 2004, 2004Co-Authors: Mario Lemes Proenca, Camiel Coppelmans, Mauricio Luis Bottoli, Antonio Marcos Alberti, Leonardo De Souza MendesAbstract:This paper presents results of the Hurst parameter for Digital Signature of network segments. It’s also presented a model for Digital Signature automatic generation which aims at the characterization of traffic in network segments. The use of the Digital Signature allows the manager to: identify limitations and crucial points of the network; establish the real use of network resources; better control the use of resources and the establishment of thresholds for the generation of more accurate and intelligent alarms which suit the real network characteristics. The obtained results validate the experiment and show in practice significant advantages in networks management.
Y.c. Yu - One of the best experts on this subject based on the ideXlab platform.
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Dual function seal: visualized Digital Signature for electronic medical record systems
Journal of medical systems, 2012Co-Authors: Y.c. Yu, T W Hou, T C ChiangAbstract:Digital Signature is an important cryptography technology to be used to provide integrity and non-repudiation in electronic medical record systems (EMRS) and it is required by law. However, Digital Signatures normally appear in forms unrecognizable to medical staff, this may reduce the trust from medical staff that is used to the handwritten Signatures or seals. Therefore, in this paper we propose a dual function seal to extend user trust from a traditional seal to a Digital Signature. The proposed dual function seal is a prototype that combines the traditional seal and Digital seal. With this prototype, medical personnel are not just can put a seal on paper but also generate a visualized Digital Signature for electronic medical records. Medical Personnel can then look at the visualized Digital Signature and directly know which medical personnel generated it, just like with a traditional seal. Discrete wavelet transform (DWT) is used as an image processing method to generate a visualized Digital Signature, and the peak signal to noise ratio (PSNR) is calculated to verify that distortions of all converted images are beyond human recognition, and the results of our converted images are from 70 dB to 80 dB. The Signature recoverability is also tested in this proposed paper to ensure that the visualized Digital Signature is verifiable. A simulated EMRS is implemented to show how the visualized Digital Signature can be integrity into EMRS.
