{"type":"ScholarlyArticle","title":"Feature Mining and Neuro-Fuzzy Inference System for Steganalysis of LSB Matching Stegangoraphy in Grayscale Images","authors":[{"name":"Qingzhong Liu","slug":"qingzhong-liu","given":"Qingzhong","family":"Liu","affiliation":""},{"name":"Andrew H. Sung","slug":"andrew-h-sung","given":"Andrew H.","family":"Sung","affiliation":""}],"abstract":"In this paper, we present a scheme based on feature mining and neuro-fuzzy inference system for detecting LSB matching steganography in grayscale images, which is a very challenging problem in steganalysis. Four types of features are proposed, and a Dynamic Evolving Neural Fuzzy Inference System (DENFIS) based feature selection is proposed, as well as the use of Support Vector Machine Recursive Feature Elimination (SVM-RFE) to obtain better detection accuracy. In comparison with other well-known features, overall, our features perform the best. DENFIS outperforms some traditional learning classifiers. SVM-RFE and DENFIS based feature selection outperform statistical significance based feature selection such as t-test. Experimental results also indicate that it remains very challenging to steganalyze LSB matching steganography in grayscale images with high complexity.","doi":null,"url":"https://ijcai.org/proceedings/2007/451","pdf":"https://ijcai.org/proceedings/2007/0451.pdf","markdown":"https://ijcai.org/proceedings/2007/451.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/451","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":451,"pages":{"first":2808,"last":2812},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}