Design of integrated multimedia compression and encryption systems
Two approaches for integrating encryption with multimedia compression systems are studied in this research, i.e., selective encryption and modified entropy coders with multiple statistical models. First, we examine the limitations of selective encryption using cryptanalysis, and provide examples tha...
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| Veröffentlicht in: | IEEE transactions on multimedia 2005-10, Vol.7 (5), p.828-839 |
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| container_title | IEEE transactions on multimedia |
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| creator | Chung-Ping Wu Kuo, C.-C.J. |
| description | Two approaches for integrating encryption with multimedia compression systems are studied in this research, i.e., selective encryption and modified entropy coders with multiple statistical models. First, we examine the limitations of selective encryption using cryptanalysis, and provide examples that use selective encryption successfully. Two rules to determine whether selective encryption is suitable for a compression system are concluded. Next, we propose another approach that turns entropy coders into encryption ciphers using multiple statistical models. Two specific encryption schemes are obtained by applying this approach to the Huffman coder and the QM coder. It is shown that security is achieved without sacrificing the compression performance and the computational speed. This modified entropy coding methodology can be applied to most modern compressed audio/video such as MPEG audio, MPEG video, and JPEG/JPEG2000 images. |
| doi_str_mv | 10.1109/TMM.2005.854469 |
| format | Article |
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First, we examine the limitations of selective encryption using cryptanalysis, and provide examples that use selective encryption successfully. Two rules to determine whether selective encryption is suitable for a compression system are concluded. Next, we propose another approach that turns entropy coders into encryption ciphers using multiple statistical models. Two specific encryption schemes are obtained by applying this approach to the Huffman coder and the QM coder. It is shown that security is achieved without sacrificing the compression performance and the computational speed. This modified entropy coding methodology can be applied to most modern compressed audio/video such as MPEG audio, MPEG video, and JPEG/JPEG2000 images.</description><identifier>ISSN: 1520-9210</identifier><identifier>EISSN: 1941-0077</identifier><identifier>DOI: 10.1109/TMM.2005.854469</identifier><identifier>CODEN: ITMUF8</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Application software ; Applied sciences ; Artificial intelligence ; CELP ; Coders ; Compressing ; Computer science; control theory; systems ; Confidentiality ; Costs ; Cryptography ; Encryption ; Entropy ; entropy coder ; Exact sciences and technology ; G.723.1 speech coding ; Huffman coding ; Image coding ; Information, signal and communications theory ; MPEG encoders ; Multimedia ; Multimedia databases ; multimedia encryption ; Multimedia systems ; QM coder ; selective encryption ; Signal and communications theory ; Signal processing ; signal scrambling ; Speech and sound recognition and synthesis. Linguistics ; Speech processing ; Statistical analysis ; Streaming media ; Telecommunications and information theory ; Transform coding ; Video compression</subject><ispartof>IEEE transactions on multimedia, 2005-10, Vol.7 (5), p.828-839</ispartof><rights>2005 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. 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First, we examine the limitations of selective encryption using cryptanalysis, and provide examples that use selective encryption successfully. Two rules to determine whether selective encryption is suitable for a compression system are concluded. Next, we propose another approach that turns entropy coders into encryption ciphers using multiple statistical models. Two specific encryption schemes are obtained by applying this approach to the Huffman coder and the QM coder. It is shown that security is achieved without sacrificing the compression performance and the computational speed. This modified entropy coding methodology can be applied to most modern compressed audio/video such as MPEG audio, MPEG video, and JPEG/JPEG2000 images.</description><subject>Application software</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>CELP</subject><subject>Coders</subject><subject>Compressing</subject><subject>Computer science; control theory; systems</subject><subject>Confidentiality</subject><subject>Costs</subject><subject>Cryptography</subject><subject>Encryption</subject><subject>Entropy</subject><subject>entropy coder</subject><subject>Exact sciences and technology</subject><subject>G.723.1 speech coding</subject><subject>Huffman coding</subject><subject>Image coding</subject><subject>Information, signal and communications theory</subject><subject>MPEG encoders</subject><subject>Multimedia</subject><subject>Multimedia databases</subject><subject>multimedia encryption</subject><subject>Multimedia systems</subject><subject>QM coder</subject><subject>selective encryption</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>signal scrambling</subject><subject>Speech and sound recognition and synthesis. Linguistics</subject><subject>Speech processing</subject><subject>Statistical analysis</subject><subject>Streaming media</subject><subject>Telecommunications and information theory</subject><subject>Transform coding</subject><subject>Video compression</subject><issn>1520-9210</issn><issn>1941-0077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kD1PwzAQhiMEEqUwM7BESMCU9i62E3uE8im1Yimz5TqXylU-ip0M_fekaiUkBqa70z3vSfdE0TXCBBHUdLlYTFIAMZGC80ydRCNUHBOAPD8depFColKE8-gihA0AcgH5KHp6puDWTdyWsWs6WnvTURHXfdW5mgpnYtvWW08huLaJTVPE1Fi_23b7MexCR3W4jM5KUwW6OtZx9PX6spy9J_PPt4_Z4zyxTGKXsBXlpeVWrrjJiJlMZqJkjAnGoRTWWklYpqDIAreKG0CLDAsmBLcFMsXG0cPh7ta33z2FTtcuWKoq01DbBy1VhjnHlA_k_b9kKgFZlrIBvP0DbtreN8MXWmYKlFBSDtD0AFnfhuCp1FvvauN3GkHv1etBvd6r1wf1Q-LueNYEa6rSm8a68BvLMZW5wIG7OXCOiH7XAiFjwH4AOReLhg</recordid><startdate>20051001</startdate><enddate>20051001</enddate><creator>Chung-Ping Wu</creator><creator>Kuo, C.-C.J.</creator><general>IEEE</general><general>Institute of Electrical and Electronic Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20051001</creationdate><title>Design of integrated multimedia compression and encryption systems</title><author>Chung-Ping Wu ; Kuo, C.-C.J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c381t-3be7fc4c8b4a6e3a6865f3335340f5ccc8e1f209ec04c94a01c131d3554cd1393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Application software</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>CELP</topic><topic>Coders</topic><topic>Compressing</topic><topic>Computer science; control theory; systems</topic><topic>Confidentiality</topic><topic>Costs</topic><topic>Cryptography</topic><topic>Encryption</topic><topic>Entropy</topic><topic>entropy coder</topic><topic>Exact sciences and technology</topic><topic>G.723.1 speech coding</topic><topic>Huffman coding</topic><topic>Image coding</topic><topic>Information, signal and communications theory</topic><topic>MPEG encoders</topic><topic>Multimedia</topic><topic>Multimedia databases</topic><topic>multimedia encryption</topic><topic>Multimedia systems</topic><topic>QM coder</topic><topic>selective encryption</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>signal scrambling</topic><topic>Speech and sound recognition and synthesis. Linguistics</topic><topic>Speech processing</topic><topic>Statistical analysis</topic><topic>Streaming media</topic><topic>Telecommunications and information theory</topic><topic>Transform coding</topic><topic>Video compression</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chung-Ping Wu</creatorcontrib><creatorcontrib>Kuo, C.-C.J.</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>Electronics & Communications 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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on multimedia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chung-Ping Wu</au><au>Kuo, C.-C.J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Design of integrated multimedia compression and encryption systems</atitle><jtitle>IEEE transactions on multimedia</jtitle><stitle>TMM</stitle><date>2005-10-01</date><risdate>2005</risdate><volume>7</volume><issue>5</issue><spage>828</spage><epage>839</epage><pages>828-839</pages><issn>1520-9210</issn><eissn>1941-0077</eissn><coden>ITMUF8</coden><abstract>Two approaches for integrating encryption with multimedia compression systems are studied in this research, i.e., selective encryption and modified entropy coders with multiple statistical models. First, we examine the limitations of selective encryption using cryptanalysis, and provide examples that use selective encryption successfully. Two rules to determine whether selective encryption is suitable for a compression system are concluded. Next, we propose another approach that turns entropy coders into encryption ciphers using multiple statistical models. Two specific encryption schemes are obtained by applying this approach to the Huffman coder and the QM coder. It is shown that security is achieved without sacrificing the compression performance and the computational speed. This modified entropy coding methodology can be applied to most modern compressed audio/video such as MPEG audio, MPEG video, and JPEG/JPEG2000 images.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TMM.2005.854469</doi><tpages>12</tpages></addata></record> |
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| identifier | ISSN: 1520-9210 |
| ispartof | IEEE transactions on multimedia, 2005-10, Vol.7 (5), p.828-839 |
| issn | 1520-9210 1941-0077 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Application software Applied sciences Artificial intelligence CELP Coders Compressing Computer science control theory systems Confidentiality Costs Cryptography Encryption Entropy entropy coder Exact sciences and technology G.723.1 speech coding Huffman coding Image coding Information, signal and communications theory MPEG encoders Multimedia Multimedia databases multimedia encryption Multimedia systems QM coder selective encryption Signal and communications theory Signal processing signal scrambling Speech and sound recognition and synthesis. Linguistics Speech processing Statistical analysis Streaming media Telecommunications and information theory Transform coding Video compression |
| title | Design of integrated multimedia compression and encryption systems |
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