{'fraction_non_alphanumeric': 0.013592233009708738, 'fraction_numerical': 0.003883495145631068, 'mean_word_length': 5.972972972972973, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Steganalysis of Perturbed Quantization

Recently proposed perturbed quantization (PQ) data hiding is a novel steganographic scheme which is undetectable with the current steganalysis methods. In this paper PQ steganography scheme is described briefly and a novel singular value decomposition (SVD) based Steganalysis method is proposed to detect PQ embedding. The proposed SVD based steganalyzer detects PQ embedded relatively smooth stego images with 70% detection accuracy on average for different embedding rates