Aruna Malik
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Aruna Malik has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Geeta Sikka
Department of Computer Science and Engineering, National Institute of Technology Delhi, Delhi, India
7 shared publications - Harsh Kumar Verma
Department of Computer Science and Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, India
5 shared publications - Samayveer Singh
Department of Computer Science and Engineering, National Institute of Technology Jalandhar, Jalandhar, India
4 shared publications Harsh K. Verma
National Institute of Technology
2 shared publications- Manju
Jaypee Institute of Information Technology, Noida, India
2 shared publications - Pradeep Kumar Singh
Department of Computer Science and Engineering, Central University of Jammu, Jammu, India
2 shared publications
Latest Publications
- RetractionOpen Access
- 28 October 2024
- Published by Springer Nature in Soft Computing
- Vol. 28 (S2) , 1005
Retraction Note: A threshold-based energy efficient military surveillance system using heterogeneous wireless sensor networks
- 28 October 2024
- Published by Springer Nature in Soft Computing
- Vol. 28 (S2) , 1005
RetractionOpen AccessRetraction Note: A threshold-based energy efficient military surveillance system using heterogeneous wireless sensor networks
- 16 March 2024
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 84 (8) , 4115-4137
High-fidelity reversible data hiding using novel comprehensive rhombus predictor
- 16 March 2024
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 84 (8) , 4115-4137
High-fidelity reversible data hiding using novel comprehensive rhombus predictor
- 28 November 2022
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 82 (6) , 8623-8642
Multimedia information hiding method for AMBTC compressed images using LSB substitution technique
- 28 November 2022
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 82 (6) , 8623-8642
Multimedia information hiding method for AMBTC compressed images using LSB substitution technique
- Retracted
- 26 July 2021
- Published by Springer Nature in Soft Computing
- Vol. 27 (2) , 1163-1176
RETRACTED ARTICLE: A threshold-based energy efficient military surveillance system using heterogeneous wireless sensor networks
- 26 July 2021
- Published by Springer Nature in Soft Computing
- Vol. 27 (2) , 1163-1176
RetractedRETRACTED ARTICLE: A threshold-based energy efficient military surveillance system using heterogeneous wireless sensor networks
- 10 July 2021
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 81 (14) , 19779-19793
A hybridized modified densenet deep architecture with CLAHE algorithm for humpback whale identification and recognition
- 10 July 2021
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 81 (14) , 19779-19793
A hybridized modified densenet deep architecture with CLAHE algorithm for humpback whale identification and recognition
- 9 April 2021
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 81 (24) , 35027-35045
Low bandwidth data hiding for multimedia systems based on bit redundancy
- 9 April 2021
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 81 (24) , 35027-35045
Low bandwidth data hiding for multimedia systems based on bit redundancy
- 25 February 2020
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 79 (25-26) , 18005-18031
A Reversible Data Hiding Scheme for Interpolated Images Based on Pixel Intensity Range
- 25 February 2020
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 79 (25-26) , 18005-18031
A Reversible Data Hiding Scheme for Interpolated Images Based on Pixel Intensity Range
- 18 November 2017
- Published by Springer Nature in Multidimensional Systems and Signal Processing
- Vol. 29 (4) , 1801-1818
An AMBTC compression based data hiding scheme using pixel value adjusting strategy
- 18 November 2017
- Published by Springer Nature in Multidimensional Systems and Signal Processing
- Vol. 29 (4) , 1801-1818
An AMBTC compression based data hiding scheme using pixel value adjusting strategy
- 4 July 2017
- Published by Taru Publications in Journal of Information and Optimization Sciences
- Vol. 38 (5) , 647-664
A high capacity text steganography scheme based on huffman compression and color coding
In this paper, we propose a high capacity text steganography scheme by using a combination of Move to Front (MTF) encoding, huffman compression, and color coding. The forward email platform is used to hide the secret data. In this scheme, we first encode the secret data using MTF encoding to increase the similarity among the element of the secret data and then apply huffman compression technique on the resultant secret data to obtain huffman codes for condensing the size of the secret data. Part of the compressed secret data is embedded into the email addresses, and residual part of the secret data stream is hide in the text message using a user defined color coding table. To make optimal utilization of number of characters in email ids, the characters added to the email id to indicate the secret data bits are taken from the processed secret data. The new characters are appended just before the ‘@’ symbol of email ids. Hence, the hiding capacity is further increased. Experimental results show that our method performs much better than the existing methods in terms of hiding capacity.
- 4 July 2017
- Published by Taru Publications in Journal of Information and Optimization Sciences
- Vol. 38 (5) , 647-664
A high capacity text steganography scheme based on huffman compression and color coding
In this paper, we propose a high capacity text steganography scheme by using a combination of Move to Front (MTF) encoding, huffman compression, and color coding. The forward email platform is used to hide the secret data. In this scheme, we first encode the secret data using MTF encoding to increase the similarity among the element of the secret data and then apply huffman compression technique on the resultant secret data to obtain huffman codes for condensing the size of the secret data. Part of the compressed secret data is embedded into the email addresses, and residual part of the secret data stream is hide in the text message using a user defined color coding table. To make optimal utilization of number of characters in email ids, the characters added to the email id to indicate the secret data bits are taken from the processed secret data. The new characters are appended just before the ‘@’ symbol of email ids. Hence, the hiding capacity is further increased. Experimental results show that our method performs much better than the existing methods in terms of hiding capacity.
- 28 November 2016
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 76 (22) , 24107-24123
Image interpolation based high capacity reversible data hiding scheme
- 28 November 2016
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 76 (22) , 24107-24123
Image interpolation based high capacity reversible data hiding scheme