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      |本期目錄/Table of Contents|

      [1]滕曉宇,桂小林,戴慧珺,等.亂序局部敏感哈希音頻零水印方案[J].西安交通大學學報,2019,53(09):110-119.[doi:10.7652/xjtuxb201909015]
       TENG Xiaoyu,GUI Xiaolin,DAI Huijun,et al.Zero-Watermark Scheme for Audio Using Disorder-Locality-Sensitive Hashing[J].Journal of Xi'an Jiaotong University,2019,53(09):110-119.[doi:10.7652/xjtuxb201909015]
      點擊復制

      亂序局部敏感哈希音頻零水印方案(PDF)

      《西安交通大學學報》[ISSN:0253-987X/CN:61-1069/T]

      卷:
      53
      期數:
      2019年第09期
      頁碼:
      110-119
      欄目:
      出版日期:
      2019-09-10

      文章信息/Info

      Title:
      Zero-Watermark Scheme for Audio Using Disorder-Locality-Sensitive Hashing
      作者:
      滕曉宇12 桂小林12 戴慧珺12 李宗育12 王志通3 李發兵1
      1.西安交通大學電子與信息工程學院, 710049, 西安; 2.西安交通大學陜西省計算機網絡 重點實驗室, 710049, 西安; 3.本鋼集團有限公司, 117000, 遼寧本溪
      Author(s):
      TENG Xiaoyu12 GUI Xiaolin12 DAI Huijun12 LI Zongyu12 WANG Zhitong3 LI Fabing1
      1.School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China; 2.Shaanxi Province Key Laboratory of Computer Network, Xi'an Jiaotong University, Xi'an 710049, China; 3.Benxi Iron and Steel Group Co.Ltd., Benxi, Liaoning 117000, China
      關鍵詞:
      音頻零水印 攻擊模型 抗分析重構 去靜音幀 鏈表 亂序局部敏感哈希
      Keywords:
      audio zero-watermark attack model anti-analysis and reconfiguration de-mute frame model link list disorder-locality-sensitive hashing
      分類號:
      TP391
      DOI:
      10.7652/xjtuxb201909015
      摘要:
      針對現有音頻零水印算法缺乏安全分析性研究、構造過程復雜化、唯一性差、未考慮音頻幀信息含量分布不均等問題,提出了一種命名為分析重構攻擊的特殊攻擊模型,并基于該攻擊模型結合音頻信號小波特征與局部敏感哈希,設計了一種抗分析重構攻擊的音頻零水印方案。該方案分為零水印構造與零水印檢測這2大模塊:在零水印構造模塊,首先提出并設計了去靜音幀模型,利用該模型對音頻信號進行預處理,從根源上降低水印構造過程中的復雜度,再結合鏈表、局部敏感哈希以及小波變換構造零水印,最后將水印信息與水印圖像結合; 在零水印檢測模塊,通過對水印信息的相似度計算與水印圖像的相似度比對共同判斷版權歸屬。為了驗證方案有效性及可行性,從方案自身驗證與對比分析這2方面對方案進行驗證分析,理論分析與實驗結果表明:該方案所構造的音頻零水印最小分析重構復雜度為特征矩陣的平方階,具有較好的不可感知性、抗噪聲攻擊性、抗MP3壓縮攻擊性及抗多比例剪裁攻擊性等優勢。
      Abstract:
      Aiming at the problems such as lack of security analysis, complicated construction process, weak uniqueness, and neglect of considering the audio information content distribution, a special attack model named analysis and reconfiguration attack model is proposed.Based on this attack model, a new scheme of audio zero-watermarking is designed, which combines discrete wavelet transform with locality-sensitive hashing.The scheme contains two main modules of zero-watermarking construction and zero-watermarking detection.In the zero-watermarking construction module, a de-mute frame model for signal is designed.This model uses the attack model to preprocess audio signal for reducing complexity of zero-watermarking construction, and constructs watermark by link list, locality sensitive hash and discrete wavelet transform, then the watermark information and watermark images are combined.In the zero-watermark detection module, the copyright attribution is determined by calculating the similarity of the watermark and the similarity of the watermark images.Finally, the effectiveness and feasibility of this new scheme are verified via self-verification and comparative analysis.Theoretical analysis and experimental results demonstrate that this scheme can construct an audio zero-watermark with minimum analysis and reconfiguration complexity of square order of eigenmatrix, and has the advantages of good imperceptibility, robustness, and capabilities of resisting MP3-compression attack and multi-proportional tailoring attack.

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      備注/Memo

      備注/Memo:
      收稿日期: 2019-01-18。作者簡介: 滕曉宇(1990—),女,博士生; 桂小林(通信作者),男,教授,博士生導師;痦椖: 國家自然科學基金資助項目(61472316); 陜西省重點研發計劃資助項目(2017ZDXM-GY-011,2019GY-005)。
      更新日期/Last Update: 2019-09-04
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