By using the Lagrange interpolation formula and the technology of signature of equality, a (k, n) threshold nominative proxy signature scheme is proposed, where an original signer delegates his (her) signing power to ...By using the Lagrange interpolation formula and the technology of signature of equality, a (k, n) threshold nominative proxy signature scheme is proposed, where an original signer delegates his (her) signing power to a proxy, who generates a nominative signature on behalf of the original signer and only k or more active verifiers in the n nominees (verifiers) nominated by the proxy signer can verify the signature signed by the proxy. If necessary, these (k or more) active nominees (verifiers) can prove its validity to a third party. In this scheme, the secret shares are generated and en- crypted by the original signer. At the same time, the ciphertexts of the secret shares are used as parts of the signature. Then, the secret shares need not be sent to the nominees (verifiers) secretly. The ordinary nominative proxy signature can be viewed as a (1, 1) threshold nominative proxy signature. The ordinary nominative proxy signature can be viewed as a special case of a (k, n) threshold nominative proxy signature. According to the security analysis of this paper, it is found that our scheme is secure against a proxy signing key forgery attack and existential forgery on an adaptive chosen message attack.展开更多
Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records （CDRs） are one important source of di...Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records （CDRs） are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on Fuzzy Decision Tree （FDT） for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising.展开更多
基金Projects 60473028 supported by the National Natural Science Foundation of China and 2006XXJ17 by the Natural Science Foundation of Zhengzhou Universityof Light Industry
文摘By using the Lagrange interpolation formula and the technology of signature of equality, a (k, n) threshold nominative proxy signature scheme is proposed, where an original signer delegates his (her) signing power to a proxy, who generates a nominative signature on behalf of the original signer and only k or more active verifiers in the n nominees (verifiers) nominated by the proxy signer can verify the signature signed by the proxy. If necessary, these (k or more) active nominees (verifiers) can prove its validity to a third party. In this scheme, the secret shares are generated and en- crypted by the original signer. At the same time, the ciphertexts of the secret shares are used as parts of the signature. Then, the secret shares need not be sent to the nominees (verifiers) secretly. The ordinary nominative proxy signature can be viewed as a (1, 1) threshold nominative proxy signature. The ordinary nominative proxy signature can be viewed as a special case of a (k, n) threshold nominative proxy signature. According to the security analysis of this paper, it is found that our scheme is secure against a proxy signing key forgery attack and existential forgery on an adaptive chosen message attack.
文摘Digital evidences can be obtained from computers and various kinds of digital devices, such as telephones, mp3/mp4 players, printers, cameras, etc. Telephone Call Detail Records （CDRs） are one important source of digital evidences that can identify suspects and their partners. Law enforcement authorities may intercept and record specific conversations with a court order and CDRs can be obtained from telephone service providers. However, the CDRs of a suspect for a period of time are often fairly large in volume. To obtain useful information and make appropriate decisions automatically from such large amount of CDRs become more and more difficult. Current analysis tools are designed to present only numerical results rather than help us make useful decisions. In this paper, an algorithm based on Fuzzy Decision Tree （FDT） for analyzing CDRs is proposed. We conducted experimental evaluation to verify the proposed algorithm and the result is very promising.
