International Journal on Soft Computing ( IJSC ): March 2019

Monday, 18 March 2019

7th International Conference on Soft Computing (SCOM)

7^th International Conference on Soft Computing (SCOM)

April 27-28, 2019, Copenhagen, Denmark

https://cse2019.org/scom/index.html

Scope

7^th International Conference on Soft Computing (SCOM 2019) provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to these topics only.

Topics of Interest

· Fuzzy Systems

· Neural Networks

· Machine learning

· Probabilistic Reasoning

· Evolutionary Computing

· Pattern Recognition

· Hybrid intelligent systems

· Software agents

· Morphic Computing

· Image processing

· E-commerce, E-medicine

· Rough Sets

· Symbolic machine learning

· Wavelet

· Signal or Image Processing

· Vision Recognition

· Biomedical Engineering

· Telecommunications

· Reactive Distributed AI

· Nano & Micro-systems

· Data Visualization

Paper Submission

Authors are invited to submit papers through the Submission System by March 23, 2019. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS&IT)series(Confirmed).

Selected papers from SCOM 2019, after further revisions, will be published in the special issue of the following journals

Important Dates

· Submission Deadline : March 23, 2019

· Authors Notification : April 10, 2019

· Registration & Camera-Ready Paper Due : April 15, 2019

For More Details: scom@cse2019.org or scomconf@yahoo.com

Thursday, 7 March 2019

INTRA BLOCK AND INTER BLOCK NEIGHBORING JOINT DENSITY BASED APPROACH FOR JPEG STEGANALYSIS

INTRA BLOCK AND INTER BLOCK NEIGHBORING JOINT DENSITY BASED APPROACH FOR JPEG STEGANALYSIS

Arun R1 , Nithin Ravi S2 and Thiruppathi K3 1,2,3TIFAC CORE in Cyber Security, Amrita Vishwa Vidhyapeetham, Coimbatore

ABSTRACT

Steganalysis is the method used to detect the presence of any hidden message in a cover medium. A novel approach based on feature mining on the discrete cosine transform (DCT) domain based approach, machine learning for steganalysis of JPEG images is proposed. The neighboring joint density on both intra-block and inter-block are extracted from the DCT coefficient array. After the feature space has been constructed, it uses SVM like binary classifier for training and classification. The performance of the proposed method on different Steganographic systems named F5, Pixel Value Differencing, Model Based Steganography with and without deblocking, JPHS, Steghide etc are analyzed. Individually each feature and combined features classification accuracy is checked and concludes which provides better classification.

KEYWORDS

Steganography, Steganalysis, DCT, PVD, MB1, MB2,F5, JPHS, Steghide.

ORIGINAL SOURCE URL : http://airccse.org/journal/ijsc/papers/3211ijsc06.pdf

http://airccse.org/journal/ijsc/current2012.html

International Journal on Soft Computing ( IJSC )