scholarly journals Locating secret messages based on quantitative steganalysis

2019 ◽  
Vol 16 (5) ◽  
pp. 4908-4922 ◽  
Author(s):  
Chunfang Yang ◽  
◽  
Fenlin Liu ◽  
Shuangkui Ge ◽  
Jicang Lu ◽  
...  
Keyword(s):  
Quantitative Steganalysis

scholarly journals Quantitative steganalysis using rich models

2013 ◽  
Author(s):  
Jan Kodovský ◽  
Jessica Fridrich
Keyword(s):  
Quantitative Steganalysis

Quantitative steganalysis of spatial ±1 steganography in JPEG decompressed images

2013 ◽  
Vol 73 (3) ◽  
pp. 1487-1506 ◽  
Author(s):  
Xing Li ◽  
Tao Zhang ◽  
Yan Zhang ◽  
Wenxiang Li ◽  
Xijian Ping
Keyword(s):  
Quantitative Steganalysis

scholarly journals A Safe Image Steganography for Verbal Communication through Information Activity in Digital Pictures

2019 ◽  
Vol 8 (9S4) ◽  
pp. 213-217
Keyword(s):  
Image Segmentation ◽  
Image Steganography ◽  
Text File ◽  
Computer File ◽  
Amount Of Information ◽  
Information Activity ◽  
Image Area ◽  
And Mathematics ◽  
Information Image ◽  
Quantitative Steganalysis

Steganography is with the intention of the art and science of writing secreted messages in such with the aim of nobody excluding the dispatcher and supposed recipient, suspects the existence of the message. We tend to tend to are constructing Associate in Nursing implementing a fresh algorithm supported activity an oversized amount of information (image, audio, text) file into color BMP image. We have been used adaptive image filtering and adaptive image segmentation with bits replacement on the suitable pixels. These image parts are elite willy-nilly rather than consecutive by using a brand new plan made public by main cases with their sub cases for each store unit in one component. this concept supports every visual and mathematics in line with the steps of fashion, we have been everywhere sixteen main cases with their sub cases that cowl all aspects of the computer file into color icon image. High-security layers are projected through 3 layers to form it arduous to interrupt through the committal to writing of the laptop file and confuse steganalysis too. These techniques are a great deal of useful for investigation the stego footage what is more as a result of the image media regarding security of images and embed the knowledge for advanced image area which we'll merely calculate approximately the high embed rate by victimization the quantitative steganalysis technique.

Deep Learning Regressors for Quantitative Steganalysis

2018 ◽  
Vol 2018 (7) ◽  
pp. 160-1-160-7 ◽  
Author(s):  
Mo Chen ◽  
Mehdi Boroumand ◽  
Jessica Fridrich
Keyword(s):  
Deep Learning ◽  
Quantitative Steganalysis

Fusion of Two Typical Quantitative Steganalysis Based on SVR

2013 ◽  
Vol 8 (3) ◽  
Author(s):  
Chunfang Yang ◽  
Fenlin Liu ◽  
Xiangyang Luo ◽  
Ying Zeng
Keyword(s):  
Quantitative Steganalysis
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