Investigation on Cost Assignment in Spatial Image Steganography
Relating the embedding cost in a distortion function to statistical detectability is an open vital problem in modern steganography. In this paper, we take one step forward by formulating the process of cost assignment into two phases: 1) determining a priority profile and 2) specifying a cost-value...
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| Veröffentlicht in: | IEEE transactions on information forensics and security 2014-08, Vol.9 (8), p.1264-1277 |
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| creator | Li, Bin Tan, Shunquan Wang, Ming Huang, Jiwu |
| description | Relating the embedding cost in a distortion function to statistical detectability is an open vital problem in modern steganography. In this paper, we take one step forward by formulating the process of cost assignment into two phases: 1) determining a priority profile and 2) specifying a cost-value distribution. We analytically show that the cost-value distribution determines the change rate of cover elements. Furthermore, when the cost-values are specified to follow a uniform distribution, the change rate has a linear relation with the payload, which is a rare property for content-adaptive steganography. In addition, we propose some rules for ranking the priority profile for spatial images. Following such rules, we propose a five-step cost assignment scheme. Previous steganographic schemes, such as HUGO, WOW, S-UNIWARD, and MG, can be integrated into our scheme. Experimental results demonstrate that the proposed scheme is capable of better resisting steganalysis equipped with high-dimensional rich model features. |
| doi_str_mv | 10.1109/TIFS.2014.2326954 |
| format | Article |
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In this paper, we take one step forward by formulating the process of cost assignment into two phases: 1) determining a priority profile and 2) specifying a cost-value distribution. We analytically show that the cost-value distribution determines the change rate of cover elements. Furthermore, when the cost-values are specified to follow a uniform distribution, the change rate has a linear relation with the payload, which is a rare property for content-adaptive steganography. In addition, we propose some rules for ranking the priority profile for spatial images. Following such rules, we propose a five-step cost assignment scheme. Previous steganographic schemes, such as HUGO, WOW, S-UNIWARD, and MG, can be integrated into our scheme. Experimental results demonstrate that the proposed scheme is capable of better resisting steganalysis equipped with high-dimensional rich model features.</description><identifier>ISSN: 1556-6013</identifier><identifier>EISSN: 1556-6021</identifier><identifier>DOI: 10.1109/TIFS.2014.2326954</identifier><identifier>CODEN: ITIFA6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Additives ; Applied sciences ; Artificial intelligence ; Computer information security ; Computer science; control theory; systems ; Cryptography ; Distortion ; Educational institutions ; Encoding ; Exact sciences and technology ; Feature extraction ; Information, signal and communications theory ; Mathematical analysis ; Mathematical models ; Memory and file management (including protection and security) ; Memory organisation. Data processing ; Pattern recognition. Digital image processing. 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In this paper, we take one step forward by formulating the process of cost assignment into two phases: 1) determining a priority profile and 2) specifying a cost-value distribution. We analytically show that the cost-value distribution determines the change rate of cover elements. Furthermore, when the cost-values are specified to follow a uniform distribution, the change rate has a linear relation with the payload, which is a rare property for content-adaptive steganography. In addition, we propose some rules for ranking the priority profile for spatial images. Following such rules, we propose a five-step cost assignment scheme. Previous steganographic schemes, such as HUGO, WOW, S-UNIWARD, and MG, can be integrated into our scheme. Experimental results demonstrate that the proposed scheme is capable of better resisting steganalysis equipped with high-dimensional rich model features.</description><subject>Additives</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Computer information security</subject><subject>Computer science; control theory; systems</subject><subject>Cryptography</subject><subject>Distortion</subject><subject>Educational institutions</subject><subject>Encoding</subject><subject>Exact sciences and technology</subject><subject>Feature extraction</subject><subject>Information, signal and communications theory</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Memory and file management (including protection and security)</subject><subject>Memory organisation. Data processing</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Payloads</subject><subject>Priorities</subject><subject>Security</subject><subject>Signal and communications theory</subject><subject>Software</subject><subject>Steganography</subject><subject>Telecommunications and information theory</subject><subject>Vectors</subject><issn>1556-6013</issn><issn>1556-6021</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkNFLwzAQxoMoOKd_gPhSEMGXzlySXpsnkeG0MPBh87mkWVo72nQmnbD_3syNPQgHd3C_7-PuI-QW6ASAyqdlPltMGAUxYZyhTMQZGUGSYIyUwflpBn5JrrxfUyoEYDYiz7n9MX5oajU0vY1CTXs_RC_eN7XtjB2ixkaLTdiqNso7VZtoMZha2b52avO1uyYXlWq9uTn2MfmcvS6n7_H84y2fvsxjzRMcYg2yWpWaal6WK4mGSkFVCQJVUhqRCiyN4jzVaSITlIplrDQoZUVZJtBUyMfk8eC7cf33NlxcdI3Xpm2VNf3WF-E_iZmENA3o_T903W-dDdcFSiAIIRkECg6Udr33zlTFxjWdcrsCaLGPtNhHWuwjLY6RBs3D0Vl5rdrKKasbfxKyDCXiH3d34BpjzGmNGWMIwH8BjU99_Q</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Li, Bin</creator><creator>Tan, Shunquan</creator><creator>Wang, Ming</creator><creator>Huang, Jiwu</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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| source | IEEE Electronic Library (IEL) |
| subjects | Additives Applied sciences Artificial intelligence Computer information security Computer science control theory systems Cryptography Distortion Educational institutions Encoding Exact sciences and technology Feature extraction Information, signal and communications theory Mathematical analysis Mathematical models Memory and file management (including protection and security) Memory organisation. Data processing Pattern recognition. Digital image processing. Computational geometry Payloads Priorities Security Signal and communications theory Software Steganography Telecommunications and information theory Vectors |
| title | Investigation on Cost Assignment in Spatial Image Steganography |
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