M
Mayank Dave
Researcher at National Institute of Technology, Kurukshetra
Publications - 183
Citations - 2805
Mayank Dave is an academic researcher from National Institute of Technology, Kurukshetra. The author has contributed to research in topics: Wireless sensor network & Digital watermarking. The author has an hindex of 25, co-authored 177 publications receiving 2271 citations. Previous affiliations of Mayank Dave include Shiv Nadar University.
Papers
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Proceedings ArticleDOI
A novel technique for digital image watermarking in spatial domain
TL;DR: A watermarking algorithm in spatial domain is proposed by using the Least Significant Bit (LSB) method, which is to very good compromise between performance, robustness, computational cost and quality of embedding.
Journal ArticleDOI
Multilevel Encrypted Text Watermarking on Medical Images Using Spread-Spectrum in DWT Domain
TL;DR: A secure multilevel watermarking scheme in which the encrypted text acts as a watermark based on secure spread-spectrum technique for digital images in discrete wavelet transform (DWT) domain is presented.
Journal ArticleDOI
SAPDA: Secure Authentication with Protected Data Aggregation Scheme for Improving QoS in Scalable and Survivable UWSNs
TL;DR: A secure authentication and protected data aggregation method for the cluster based structure of UWSN is proposed as because cluster based arrangement produces a concise and stable network and improves the data reliability in the network by reducing the energy consumption and delay.
Journal ArticleDOI
Wavelet Based Image Watermarking: Futuristic Concepts in Information Security
TL;DR: The state-of-art of the various wavelet based image watermarking techniques in spatial as well as in transform domain based on the robustness, imperceptibility, capacity and security are reviewed.
Journal ArticleDOI
Energy Efficient Architecture for Intra and Inter Cluster Communication for Underwater Wireless Sensor Networks
TL;DR: The proposed Intra and Inter Cluster Communication for data aggregation in UWSN reduces the average energy consumption and end-to-end delay, thereby improving the packet delivery ratio and the main strength of the paper is to provide an optimal selection for CH.