Encounter
发表于 2025-3-21 18:53:40
书目名称Information Hiding影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0465072<br><br> <br><br>书目名称Information Hiding读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0465072<br><br> <br><br>
允许
发表于 2025-3-21 22:26:23
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思想流动
发表于 2025-3-22 00:50:42
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蒸发
发表于 2025-3-22 07:57:38
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品牌
发表于 2025-3-22 12:30:28
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Promotion
发表于 2025-3-22 14:29:27
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SPURN
发表于 2025-3-22 19:03:27
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异教徒
发表于 2025-3-23 01:11:04
Improved Detection of LSB Steganography in Grayscale ImagesSB steganography. Using a distributed computation network and a library of over 30,000 images we have been carefully evaluating the reliability of various steganalysis methods. The results suggest a number of improvements to the standard techiques, with particular benefits gained by not attempting t
折磨
发表于 2025-3-23 01:47:48
An Improved Sample Pairs Method for Detection of LSB Embedding. who detected LSB steganography via sample pair analysis. Our new algorithm combines with the statistical measures developed in and a new least square estimation. The motivation comes from the high accuracy and robustness of the least square method used in parameter estimation. Plentiful exp
拖债
发表于 2025-3-23 08:33:40
Statistical Tools for Digital Forensicsa result, photographs no longer hold the unique stature as a definitive recording of events. We describe several statistical techniques for detecting traces of digital tampering in the absence of any digital watermark or signature. In particular, we quantify statistical correlations that result from