Robust Data Hiding in Audio Using Allpass Filters
A novel technique is proposed for data hiding in digital audio that exploits the low sensitivity of the human auditory system to phase distortion. Inaudible but controlled phase changes are introduced in the host audio using a set of allpass filters (APFs) with distinct parameters of allpass filters...
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| Veröffentlicht in: | IEEE transactions on audio, speech, and language processing speech, and language processing, 2007-05, Vol.15 (4), p.1296-1304 |
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| container_title | IEEE transactions on audio, speech, and language processing |
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| creator | Malik, H.M.A. Ansari, R. Khokhar, A.A. |
| description | A novel technique is proposed for data hiding in digital audio that exploits the low sensitivity of the human auditory system to phase distortion. Inaudible but controlled phase changes are introduced in the host audio using a set of allpass filters (APFs) with distinct parameters of allpass filters, i.e., pole-zero locations. The APF parameters are chosen to encode the embedding information. During the detection phase, the power spectrum of the audio data is estimated in the z-plane away from the unit circle. The power spectrum is used to estimate APF pole locations, for information decoding. Experimental results show that the proposed data hiding scheme can effectively withstand standard data manipulation attacks. Moreover, the proposed scheme is shown to embed 5-8 times more data than the existing audio data hiding schemes while providing comparable perceptual performance and robustness |
| doi_str_mv | 10.1109/TASL.2007.894509 |
| format | Article |
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Inaudible but controlled phase changes are introduced in the host audio using a set of allpass filters (APFs) with distinct parameters of allpass filters, i.e., pole-zero locations. The APF parameters are chosen to encode the embedding information. During the detection phase, the power spectrum of the audio data is estimated in the z-plane away from the unit circle. The power spectrum is used to estimate APF pole locations, for information decoding. Experimental results show that the proposed data hiding scheme can effectively withstand standard data manipulation attacks. Moreover, the proposed scheme is shown to embed 5-8 times more data than the existing audio data hiding schemes while providing comparable perceptual performance and robustness</description><identifier>ISSN: 1558-7916</identifier><identifier>ISSN: 2329-9290</identifier><identifier>EISSN: 1558-7924</identifier><identifier>EISSN: 2329-9304</identifier><identifier>DOI: 10.1109/TASL.2007.894509</identifier><identifier>CODEN: ITASD8</identifier><language>eng</language><publisher>Piscataway, NJ: IEEE</publisher><subject>Allpass filter (APF) ; Applied sciences ; Audio data ; Auditory system ; Coding, codes ; Cryptography ; Data encapsulation ; data hiding ; Decoding ; detection ; Detection, estimation, filtering, equalization, prediction ; embedding ; Exact sciences and technology ; Filters ; Fingerprint recognition ; fingerprinting ; Human ; human auditory system ; Humans ; Information, signal and communications theory ; Natural language processing ; parametric signal modeling ; Phase detection ; Phase distortion ; Poles ; Protection ; Robustness ; Signal and communications theory ; Signal representation. 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Inaudible but controlled phase changes are introduced in the host audio using a set of allpass filters (APFs) with distinct parameters of allpass filters, i.e., pole-zero locations. The APF parameters are chosen to encode the embedding information. During the detection phase, the power spectrum of the audio data is estimated in the z-plane away from the unit circle. The power spectrum is used to estimate APF pole locations, for information decoding. Experimental results show that the proposed data hiding scheme can effectively withstand standard data manipulation attacks. Moreover, the proposed scheme is shown to embed 5-8 times more data than the existing audio data hiding schemes while providing comparable perceptual performance and robustness</description><subject>Allpass filter (APF)</subject><subject>Applied sciences</subject><subject>Audio data</subject><subject>Auditory system</subject><subject>Coding, codes</subject><subject>Cryptography</subject><subject>Data encapsulation</subject><subject>data hiding</subject><subject>Decoding</subject><subject>detection</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>embedding</subject><subject>Exact sciences and technology</subject><subject>Filters</subject><subject>Fingerprint recognition</subject><subject>fingerprinting</subject><subject>Human</subject><subject>human auditory system</subject><subject>Humans</subject><subject>Information, signal and communications theory</subject><subject>Natural language processing</subject><subject>parametric signal modeling</subject><subject>Phase detection</subject><subject>Phase distortion</subject><subject>Poles</subject><subject>Protection</subject><subject>Robustness</subject><subject>Signal and communications theory</subject><subject>Signal representation. Spectral analysis</subject><subject>Signal, noise</subject><subject>Sound filters</subject><subject>Standard data</subject><subject>Telecommunications and information theory</subject><subject>Watermarking</subject><issn>1558-7916</issn><issn>2329-9290</issn><issn>1558-7924</issn><issn>2329-9304</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kE1Lw0AQhoMoWKt3wUsQ1FPqTPYrewzVWqEgaHteNpuNbEmTmk0O_nu3tFTw4Gl22GeGeZ8oukaYIIJ8XOYfi0kKICaZpAzkSTRCxrJEyJSeHt_Iz6ML79cAlHCKowjf22Lwffykex3PXemaz9g1cT6Uro1Xftfmdb3V3sczV_e285fRWaVrb68OdRytZs_L6TxZvL28TvNFYkhG-kQgFSnlSFOwUmRomJAUpRQpg6qQJRqJpa3AcMGQc2FNOLQgAJIVwmaUjKOH_d5t134N1vdq47yxda0b2w5eZYIBkZCRQN7_SxJOghBMA3j7B1y3Q9eEFEqioIiM8gDBHjJd631nK7Xt3EZ33wpB7VSrnWq1U632qsPI3WGv9kbXVacb4_zvXCZAhPSBu9lzzlp7_KbIeBpy_ABrO4Ki</recordid><startdate>20070501</startdate><enddate>20070501</enddate><creator>Malik, H.M.A.</creator><creator>Ansari, R.</creator><creator>Khokhar, A.A.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Spectral analysis</topic><topic>Signal, noise</topic><topic>Sound filters</topic><topic>Standard data</topic><topic>Telecommunications and information theory</topic><topic>Watermarking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Malik, H.M.A.</creatorcontrib><creatorcontrib>Ansari, R.</creatorcontrib><creatorcontrib>Khokhar, A.A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on audio, speech, and language processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Malik, H.M.A.</au><au>Ansari, R.</au><au>Khokhar, A.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Robust Data Hiding in Audio Using Allpass Filters</atitle><jtitle>IEEE transactions on audio, speech, and language processing</jtitle><stitle>TASL</stitle><date>2007-05-01</date><risdate>2007</risdate><volume>15</volume><issue>4</issue><spage>1296</spage><epage>1304</epage><pages>1296-1304</pages><issn>1558-7916</issn><issn>2329-9290</issn><eissn>1558-7924</eissn><eissn>2329-9304</eissn><coden>ITASD8</coden><abstract>A novel technique is proposed for data hiding in digital audio that exploits the low sensitivity of the human auditory system to phase distortion. Inaudible but controlled phase changes are introduced in the host audio using a set of allpass filters (APFs) with distinct parameters of allpass filters, i.e., pole-zero locations. The APF parameters are chosen to encode the embedding information. During the detection phase, the power spectrum of the audio data is estimated in the z-plane away from the unit circle. The power spectrum is used to estimate APF pole locations, for information decoding. Experimental results show that the proposed data hiding scheme can effectively withstand standard data manipulation attacks. Moreover, the proposed scheme is shown to embed 5-8 times more data than the existing audio data hiding schemes while providing comparable perceptual performance and robustness</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TASL.2007.894509</doi><tpages>9</tpages></addata></record> |
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| subjects | Allpass filter (APF) Applied sciences Audio data Auditory system Coding, codes Cryptography Data encapsulation data hiding Decoding detection Detection, estimation, filtering, equalization, prediction embedding Exact sciences and technology Filters Fingerprint recognition fingerprinting Human human auditory system Humans Information, signal and communications theory Natural language processing parametric signal modeling Phase detection Phase distortion Poles Protection Robustness Signal and communications theory Signal representation. Spectral analysis Signal, noise Sound filters Standard data Telecommunications and information theory Watermarking |
| title | Robust Data Hiding in Audio Using Allpass Filters |
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