NDLI: Neighboring joint density-based JPEG steganalysis

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ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 8

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 7

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 6

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 5

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 4

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 3

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 2

Issue 4, July 2011

Issue 3, April 2011

Issue 2, February 2011

Introduction to the special issue on intelligent multimedia systems and technology

Active learning in multimedia annotation and retrieval: A survey

Variational inference with graph regularization for image annotation

Collection-based sparse label propagation and its application on social group suggestion from photos

Distance metric learning from uncertain side information for automated photo tagging

Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images

Automatic player labeling, tracking and field registration and trajectory mapping in broadcast soccer video

Neighboring joint density-based JPEG steganalysis

Probabilistic temporal multimedia data mining

Issue 1, January 2011

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 1

Neighboring joint density-based JPEG steganalysis

Content Provider	ACM Digital Library
Author	Qiao, Mengyu Liu, Qingzhong Sung, Andrew H.
Copyright Year	2011
Abstract	The threat posed by hackers, spies, terrorists, and criminals, etc. using steganography for stealthy communications and other illegal purposes is a serious concern of cyber security. Several steganographic systems that have been developed and made readily available utilize JPEG images as carriers. Due to the popularity of JPEG images on the Internet, effective steganalysis techniques are called for to counter the threat of JPEG steganography. In this article, we propose a new approach based on feature mining on the discrete cosine transform (DCT) domain and machine learning for steganalysis of JPEG images. First, neighboring joint density features on both intra-block and inter-block are extracted from the DCT coefficient array and the absolute array, respectively; then a support vector machine (SVM) is applied to the features for detection. An evolving neural-fuzzy inference system is employed to predict the hiding amount in JPEG steganograms. We also adopt a feature selection method of support vector machine recursive feature elimination to reduce the number of features. Experimental results show that, in detecting several JPEG-based steganographic systems, our method prominently outperforms the well-known Markov-process based approach.
Starting Page	1
Ending Page	16
Page Count	16
File Format	PDF
ISSN	21576904
e-ISSN	21576912
DOI	10.1145/1899412.1899420
Volume Number	2
Issue Number	2
Journal	ACM Transactions on Intelligent Systems and Technology (TIST)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2011-02-24
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	JPEG SVM SVMRFE Classification Neighboring joint density Nuero-fuzzy Steganalysis Steganography
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Theoretical Computer Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Improved Approaches with Calibrated Neighboring Joint Density to Steganalysis and Seam-Carved Forgery Detection in JPEG Images (TIST, Vol.5, Issue 4)

Steganalysis of DCT-embedding based adaptive steganography and YASS

Intra Block and Inter Block Neighboring Joint Density Based Approach for Jpeg Steganalysis

Improved detection and evaluation for JPEG steganalysis

Detection of JPEG double compression and identification of smartphone image source and post-capture manipulation

Derivative-based audio steganalysis

Distributed steganalysis of compressed speech

A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function

Calibration based universal JPEG steganalysis

Neighboring joint density-based JPEG steganalysis

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Improved Approaches with Calibrated Neighboring Joint Density to Steganalysis and Seam-Carved Forgery Detection in JPEG Images (TIST, Vol.5, Issue 4)

Steganalysis of DCT-embedding based adaptive steganography and YASS

Intra Block and Inter Block Neighboring Joint Density Based Approach for Jpeg Steganalysis

Improved detection and evaluation for JPEG steganalysis

Detection of JPEG double compression and identification of smartphone image source and post-capture manipulation

Derivative-based audio steganalysis

Distributed steganalysis of compressed speech

A Cognitive Ensemble of Extreme Learning Machines for Steganalysis Based on Risk-Sensitive Hinge Loss Function

Calibration based universal JPEG steganalysis

Neighboring joint density-based JPEG steganalysis