• Title/Summary/Keyword: Original Authentication

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Robust DNA Watermarking based on Coding DNA Sequence (부호 영역 DNA 시퀀스 기반 강인한 DNA 워터마킹)

  • Lee, Suk-Hwan;Kwon, Seong-Geun;Kwon, Ki-Ryong
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.49 no.2
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    • pp.123-133
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    • 2012
  • This paper discuss about DNA watermarking using coding DNA sequence (CDS) for the authentication, the privacy protection, or the prevention of illegal copy and mutation of DNA sequence and propose a DNA watermarking scheme with the mutation robustness and the animo acid preservation. The proposed scheme selects a number of codons at the regular singularity in coding regions for the embedding target and embeds the watermark for watermarked codons and original codons to be transcribed to the same amino acids. DNA base sequence is the string of 4 characters, {A,G,C,T} ({A,G,C,U} in RNA). We design the codon coding table suitable to watermarking signal processing and transform the codon sequence to integer numerical sequence by this table and re-transform this sequence to floating numerical sequence of circular angle. A codon consists of a consecutive of three bases and 64 codons are transcribed to one from 20 amino acids. We substitute the angle of selected codon to one among the angle range with the same animo acid, which is determined by the watermark bit and the angle difference of adjacent codons. From in silico experiment by using HEXA and ANG sequences, we verified that the proposed scheme is more robust to silent and missense mutations than the conventional scheme and preserve the amino acids of the watermarked codons.

Online Signature Verification by Visualization of Dynamic Characteristics using New Pattern Transform Technique (동적 특성의 시각화를 수행하는 새로운 패턴변환 기법에 의한 온라인 서명인식 기술)

  • Chi Suyoung;Lee Jaeyeon;Oh Weongeun;Kim Changhun
    • Journal of KIISE:Software and Applications
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    • v.32 no.7
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    • pp.663-673
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    • 2005
  • An analysis model for the dynamics information of two-dimensional time-series patterns is described. In the proposed model, two novel transforms that visualize the dynamic characteristics are proposed. The first transform, referred to as speed equalization, reproduces a time-series pattern assuming a constant linear velocity to effectively model the temporal characteristics of the signing process. The second transform, referred to as velocity transform, maps the signal onto a horizontal vs. vertical velocity plane where the variation oi the velocities over time is represented as a visible shape. With the transforms, the dynamic characteristics in the original signing process are reflected in the shape of the transformed patterns. An analysis in the context of these shapes then naturally results in an effective analysis of the dynamic characteristics. The proposed transform technique is applied to an online signature verification problem for evaluation. Experimenting on a large signature database, the performance evaluated in EER(Equal Error Rate) was improved to 1.17$\%$ compared to 1.93$\%$ of the traditional signature verification algorithm in which no transformed patterns are utilized. In the case of skilled forgery experiments, the improvement was more outstanding; it was demonstrated that the parameter set extracted from the transformed patterns was more discriminative in rejecting forgeries