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Image Steganalysis via Binary Bat Algorithm by kilui9900 is a document available to read on EtoBox.

This document presents a new image steganalysis algorithm that utilizes a binary bat algorithm (BBA) for effective feature selection to distinguish between stego and cover images. The proposed method aims to reduce redundant features and improve detection accuracy by selecting an optimal feature subset from high-dimensional data. Experimental results indicate that the BBA-based approach enhances detection performance while minimizing computational complexity.

Author
kilui9900
Language
EN