Steganalysis with Streamwise Feature Selection Steven D. Baker

Steganalysis with Streamwise Feature Selection Steven D. Baker

Steganalysis with Streamwise Feature Selection Steven D. Baker University of Virginia [email protected] Steganography: An Example Original Image Hello, I am the amazing Mr.

Moulin! Hello, I am the amazing Mr. Moulin Motivation Catch bad people trying to communicate in secret Catch good people trying to communicate in

secret? Research opportunities: Improve detection Disrupt secret communication without harming legitimate image sharing Improve theoretical guarantees Triangle of Peril

Robustness Target region Detectable Useless Secrecy Rate Theoretical work in Steganography

Complexity theory Information theory

Provably Secure Steganography [Hopper et al.] An Information-Theoretic Model for Steganography [Cachin] Perfectly Secure Steganography [Wang and Moulin] Basic conclusion: perfect security means useless rate No available, practical algorithm allows smooth adjustment of rate, robustness, and secrecy* Method of Wang and Moulin

Steg and cover images Training Classification Wavelet transform Feature Selection PDF Characteristic Function

Moments (Feature generation) Let Intel do the work Can we combine existing features to form useful new features? Have a computer separate the useless features from the good ones Do this in a suboptimal but very fast way, so that you can evaluate loads of features, more

than there are observations Streamwise Feature Selection [Zhou et al.] Feature generation/selection (Alpha-investing) Add feature Reject feature Decrease wealth ? More features, more time?

Increase wealth Generate feature Feature generation Pair-wise ratios Pair-wise differences Principal Component Analysis Untested possibilities:

Log Square root Nonsmooth Nonnegative Matrix Factorization Experimental data (Shi et al.) CorelDraw images

~1000 images 78 Original features > 6000 generated features Steganographic techniques

Cox et al. (SS) Piva et al. (SS) Huang et al. (SS) Generic QIM Generic LSB Results: ROC Results: Model Complexity Results: AUC

Questions?

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