Informatics Publishing Limited

B. Yamini ¹, R. Vinoth Kumar ¹, M. A. Shayee Karthik ¹, V. T. Sree Hare Priya ¹

Affiliations
1 Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, IN

Abstract

A compact Planar inverted F antenna was designed using CAD FEKO software for wireless, automotive applications. The size reduction of the antenna was achieved by increasing the path length of the currents for a fixed frequency. This paper focuses on the designing of miniature planar antenna with probe feed and analyses the results like return loss S11, VSWR, impedance and bandwidth. This antenna is made to work at the frequencies such as 6.9 Ghz and 8.5 Ghz which will be helpful for satellite communication.

Keywords

Planar Inverted F Antenna, Resonating Structure, Dual Band, CADFEKO.

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B. Yamini ¹, R. Sabitha ²

Affiliations
1 Department of CSE, Sathyabama University, Chennai -119, TamilNadu, IN
2 Department of IT, Jeppiaar Engineering College, Chennai-119, TamilNadu, IN

Abstract

Steganographic techniques have been used to embed covert messages inside a piece of unsuspicious media and sending it without anyone’s knowledge about the survival of the covert message. Steganalysis is the process of detecting the presence of concealed information from the stego image and it can lead to the prevention of terrible security incidents. Steganalysis consist of two stages, the first stage is to identify the existence of the hidden message and the second stage is to retrieve the content of the message. In the existing method, for identifying the existence of the message, two-class classification using Support Vector Machine is used to differentiate the cover and stego images. In this paper, a new technique called multi-class classification using Linear Support Vector Machine is used to differentiate the cover and different type’s stego images.

Keywords

Steganography, Steganalysis, Stego Image, Two-Class Classification, Multi-Class Classisification and Linear Support Vector Machine.

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B. Yamini ¹, R. Sabitha ²

Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, Jeppiaar Nagar, Chennai – 600119, Tamil Nadu, IN
2 Department of Information Technology, Jeppiaar Engineering College, Chennai – 600119, Tamil Nadu, IN

Abstract

Objectives: Adaptive image steg analysis retrieves concealed content from the adaptable regions of cover image. To identify adaptive regions, Enhanced canny operator is used and which identifies the false edges accurately. Method/Analysis: Adaptive image steganography is the method of hiding the content, based on the adaptable regions of the colour image. The edges in the cover image are used for hiding the secret information by considering two LSB (Least Significant Bit) bits. In the existing method, canny edge detectors were used to extract the features of the image but it fails to identify the false edges and smoothes the boundaries with noise. Findings: In the proposed method, Adaptive regions are identified using enhanced canny operator which identifies the false edges accurately and thus reduces the overhead in payload location identification and content retrieval. This enhanced canny operator outperforms the other edge detectors for the retrieval of content which are embedded using LSB embedding method during steganography. The performance of the operator is measured using Positive Predictive Value (Precision).The precision is calculated after identifying the adaptive region with its payload location and hidden content using ensemble classifier. Applications/Improvements: The performance of the method can be improved by using different classifier combinations as ensemble classifier for multi class classification.

Keywords

Adaptive Steganography, Enhanced Canny Operator, Ensemble Classifier, Least Significant Bit, Positive Predictive Rate

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B. Yamini ¹, V. E. Dhandapani ¹, R. Pachaiappan ², K. Kanchana Mala ³

Affiliations
1 Department of Cardiology, SRM Institute of Science and Technology, Kattankulathur 603 203, IN
2 Department of Biotechnology, School of Bioengineering, SRM Institute of Science and Technology, Kattankulathur 603 203, IN
3 Department of Medical Research, Medical College Hospital and Research Centre, SRM Institute of Science and Technology, Kattankulathur 603 203, IN

Abstract

No Abstract.

Keywords

No Keywords.

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