A fast and accurate steganalysis using ensemble classifiers
عنوان مقاله: A fast and accurate steganalysis using ensemble classifiers
شناسه ملی مقاله: ICMVIP08_228
منتشر شده در هشتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1392
شناسه ملی مقاله: ICMVIP08_228
منتشر شده در هشتمین کنفرانس ماشین بینایی و پردازش تصویر ایران در سال 1392
مشخصات نویسندگان مقاله:
Arezoo Torkaman - Department of Computer Engineering & IT, Amirkabir University of Technology
Reza Safabakhsh - Department of Computer Engineering & IT, Amirkabir University of Technology
خلاصه مقاله:
Arezoo Torkaman - Department of Computer Engineering & IT, Amirkabir University of Technology
Reza Safabakhsh - Department of Computer Engineering & IT, Amirkabir University of Technology
Nowadays, the steganographic methods use themore sophisticated image models to increase security;consequently, steganalysis algorithm should build the moreaccurate models of images to detect them. So, the number ofextracted feature is increasing. Most modern steganalysisalgorithms train a supervised classifier on the feature vectors.The most popular and accurate one is SVM, but the high trainingtime of SVM inhibits the development of steganalysis. To solvethis problem, in this paper we propose a fast and accuratesteganalysis methods based on Ensemble classifier and Stacking.In this method, the relation between basic learners decisions andtrue decision is learned by another classifier. To do this, basiclearners decisions are mapped to space of uncorrelateddimensions. The complexity of this method is much lower thanthat of SVM, while our method improves detection accuracy.Proposed method is a fast and accurate classifier that can be usedas a part of any steganalysis algorithm. Performance of thismethod is demonstrated on two steganographic methods, namelynsF5 and Model Based Steganography. The performance ofproposed method is compared to that of Ensemble classifier.Experimental results show that the classification error andtraining time are lowered by 46% and 88%, respectively
کلمات کلیدی: Steganalysis, Ensemble classifiers, Correspondence analysis
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/227577/