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壓縮域語(yǔ)音感知哈希認(rèn)證算法及安全性研究

發(fā)布時(shí)間:2018-02-27 02:12

  本文關(guān)鍵詞: 語(yǔ)音內(nèi)容認(rèn)證 感知哈希 壓縮域 MDCT頻譜熵 安全性分析 傳輸信道安全性 數(shù)字水印 出處:《蘭州理工大學(xué)》2014年碩士論文 論文類型:學(xué)位論文


【摘要】:隨著網(wǎng)絡(luò)通信的開(kāi)放和多媒體處理技術(shù)的飛速發(fā)展,音頻信號(hào)在傳輸過(guò)程容易遭受到非法的攻擊。語(yǔ)音作為一種最為常見(jiàn)的音頻形式,在日常通信、法庭取證、指令密保等方面應(yīng)用廣泛,其內(nèi)容的安全性和完整性驗(yàn)證至關(guān)重要。 感知哈希的本質(zhì)是一類數(shù)字摘要技術(shù),因其對(duì)內(nèi)容保持操作具有較好的魯棒性,對(duì)非法篡改操作具有一定的區(qū)分性,同時(shí)也滿足單向性、抗碰撞性等基本安全性要求,逐漸成為一種用于圖像、音頻和視頻等多媒體安全認(rèn)證的熱門技術(shù)。 語(yǔ)音信號(hào)與寬帶音頻在信號(hào)特點(diǎn)、編碼、傳輸方式以及存儲(chǔ)方面有很大的不同。而傳統(tǒng)的音頻感知哈希認(rèn)證算法主要針對(duì)原始域?qū)拵б魳?lè),對(duì)壓縮格式音頻和語(yǔ)音適用性較弱。針對(duì)以上問(wèn)題,提出了一種基于MDCT頻譜熵的壓縮域語(yǔ)音感知哈希認(rèn)證算法。算法首先通過(guò)對(duì)MP3格式的語(yǔ)音文件進(jìn)行部分解壓以提取MDCT系數(shù),以子帶劃分的方法計(jì)算MDCT頻譜能量來(lái)降低運(yùn)算量。其次將MDCT頻譜子帶能量映射為與信息熵理論中相似的質(zhì)量函數(shù),以此作為感知特征集進(jìn)而量化為二進(jìn)制感知哈希值。實(shí)驗(yàn)結(jié)果證明:算法對(duì)內(nèi)容保持操作的魯棒性有所提高,同時(shí)保證了算法的執(zhí)行效率。該算法由于僅對(duì)MP3文件部分解碼,算法的實(shí)時(shí)性很高,能夠滿足實(shí)時(shí)通信終端的要求。 針對(duì)音頻感知哈希安全性分析和評(píng)價(jià)方法被忽視的研究現(xiàn)狀,提出一種基于頻譜熵特征的壓縮域音頻水印嵌入算法。在構(gòu)造感知哈希值的過(guò)程中引入密鑰并對(duì)生成的感知哈希值進(jìn)行糾錯(cuò)碼預(yù)處理,將編碼之后的數(shù)據(jù)作為認(rèn)證信息嵌入載體,達(dá)到解決感知哈希值傳輸過(guò)程中需要額外信道以及容易受到攻擊而發(fā)生改變的問(wèn)題。實(shí)驗(yàn)結(jié)果表明:該算法在不影響感知內(nèi)容的前提下進(jìn)行嵌入,對(duì)于常見(jiàn)攻擊具有魯棒性。最后結(jié)合圖像感知哈希安全性研究方法,以本文提出的算法作為實(shí)驗(yàn)對(duì)象,根據(jù)實(shí)驗(yàn)結(jié)果分析當(dāng)前音頻感知哈希算法的安全性,并得出實(shí)驗(yàn)結(jié)果:當(dāng)前安全性主要依賴于密鑰和針對(duì)某項(xiàng)局部?jī)?nèi)容攻擊進(jìn)行專門的優(yōu)化。
[Abstract]:With the opening of network communication and the rapid development of multimedia processing technology, audio signal is vulnerable to illegal attack in the course of transmission. Instruction secrecy is widely used in many fields, so the security and integrity verification of its content is very important. The essence of perceptual hashing is a kind of digital abstract technology, because it has good robustness to content-keeping operations, distinguishes illegal tampering operations, and meets the basic security requirements such as unidirectional, anti-collision, etc. It has gradually become a popular technology for multimedia security authentication, such as image, audio and video. Speech signal is different from broadband audio in signal characteristics, coding, transmission and storage, while the traditional audio perceptual hash authentication algorithm is mainly aimed at the original broadband music. This paper proposes a speech perceptual hash authentication algorithm based on MDCT spectrum entropy for audio and speech in compressed format. Firstly, the MDCT coefficients are extracted by partial decompression of speech files in MP3 format. The energy of MDCT spectrum is calculated by subband partition to reduce the computation cost. Secondly, the energy of subband of MDCT spectrum is mapped to a mass function similar to that in information entropy theory. The experimental results show that the algorithm is more robust to the content-preserving operation, while ensuring the efficiency of the algorithm. The algorithm is only partially decoded to the MP3 file, and the algorithm is used as the perceptual feature set and quantized to binary perceptual hash value. The algorithm is very real-time and can meet the requirement of real-time communication terminal. The current situation of the research on the analysis and evaluation of audio perceptual hashing security is neglected. This paper presents an audio watermarking embedding algorithm in compressed domain based on spectrum entropy feature. In the process of constructing perceptual hash, the key is introduced and the generated perceptual hash is preprocessed by correcting code. The encoded data is embedded as the authentication information carrier, In order to solve the problem that the additional channel is needed and vulnerable to attack in the process of perceptual hash transmission, the experimental results show that the algorithm is embedded without affecting the perceptual content. Finally, the algorithm proposed in this paper is taken as the experimental object, and the security of the current audio aware hash algorithm is analyzed according to the experimental results. The experimental results are as follows: the current security mainly depends on the key and the special optimization for a local content attack.
【學(xué)位授予單位】:蘭州理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN912.3

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