Invention Grant
- Patent Title: System and method for digital image steganography detection using an ensemble of neural spatial rich models
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Application No.: US17098037Application Date: 2020-11-13
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Publication No.: US11526959B2Publication Date: 2022-12-13
- Inventor: Jonathan Richard Lwowski , Isaac Alexander Corley
- Applicant: Booz Allen Hamilton Inc.
- Applicant Address: US VA McLean
- Assignee: Booz Allen Hamilton Inc.
- Current Assignee: Booz Allen Hamilton Inc.
- Current Assignee Address: US VA McLean
- Agency: Buchanan Ingersoll & Rooney PC
- Main IPC: G06T1/00
- IPC: G06T1/00 ; G06K9/62 ; G06F17/18

Abstract:
Exemplary systems and methods are disclosed for detecting embedded data in a digital image. The system includes a processing device that extracts one or more features from a digital image and analyzes the one or more extracted features in a plurality of steganography analyzers, each steganography analyzer configured to execute a different steganography algorithm. The processing device generates an output data value at each steganography analyzer, the output data value indicating a probability that the digital image includes steganography according to the steganography algorithm of the steganography analyzer. Each output probability value is fed to an ensemble classifier, the ensemble classifier including a neural network in which the output probability values of the plurality of steganography analyzers are ensembled together to generate an output ensemble data value indicating a probability that the digital image includes any steganography according to the steganography algorithms of the steganography analyzers.
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