Ashima Anand
Biographic Data
| ID | 9441655 |
|---|---|
| NAME | Ashima Anand |
| GIVEN NAMES | Ashima |
| FAMILY NAME | Anand |
| SIGNATURE | ANAND A |
| AFFILIATIONS | Thapar Institute of Engineering & Technology |
| ORCID | 0000-0001-9891-7631 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Hybrid Nature-Inspired Optimization and Encryption-Based Watermarking for E-Healthcare
With the growth and popularity of the utilization of medical images in smart healthcare, the security of these images using watermarks is one of the most recent research topics. This algorithm is based on the joint use of dual watermarking, nature-inspired optimization, and encryption schemes utilizing redundant-discrete wavelet transform (RDWT) and randomized-singular value decomposition (RSVD). The key idea of the proposed method is to embed sy…
Consumers profiling based federated learning approach for energy load forecasting
Health Record Security Through Multiple Watermarking on Fused Medical Images
Nowadays, there is an increasing tendency to fuse multi-modal medical image due to the high diagnostic accuracy and assessment. However, the distribution of these images and more generally, health records may bring serious copy-violation issues in healthcare applications. Further, a massive amount of electronic health records is uploaded on the cloud due to the low cost and high usability. However, outsourcing these records to the cloud may great…
SDH
Fusing the single modality medical images to obtain a distinct multimodality image is needed to ensure a better clinical experience. However, the distribution of these fused images brings the issues of ownership and authentication and has attracted many researchers. Presently, large volumes of medical data are stored on cloud platforms. However, outsourcing medical data to this popular platform may introduce security issues. Following this, we in…
Cloud based secure watermarking using IWT-Schur-RSVD with fuzzy inference system for smart healthcare applications
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Cloud based secure watermarking using IWT-Schur-RSVD with fuzzy inference system for smart healthcare applications
Health Record Security Through Multiple Watermarking on Fused Medical Images
Nowadays, there is an increasing tendency to fuse multi-modal medical image due to the high diagnostic accuracy and assessment. However, the distribution of these images and more generally, health records may bring serious copy-violation issues in healthcare applications. Further, a massive amount of electronic health records is uploaded on the cloud due to the low cost and high usability. However, outsourcing these records to the cloud may great…
SDH
Fusing the single modality medical images to obtain a distinct multimodality image is needed to ensure a better clinical experience. However, the distribution of these fused images brings the issues of ownership and authentication and has attracted many researchers. Presently, large volumes of medical data are stored on cloud platforms. However, outsourcing medical data to this popular platform may introduce security issues. Following this, we in…
Hybrid Nature-Inspired Optimization and Encryption-Based Watermarking for E-Healthcare
With the growth and popularity of the utilization of medical images in smart healthcare, the security of these images using watermarks is one of the most recent research topics. This algorithm is based on the joint use of dual watermarking, nature-inspired optimization, and encryption schemes utilizing redundant-discrete wavelet transform (RDWT) and randomized-singular value decomposition (RSVD). The key idea of the proposed method is to embed sy…
Consumers profiling based federated learning approach for energy load forecasting
Computer Science (5 works) · Advanced Steganography and Watermarking Techniques (4 works) · Artificial Intelligence (4 works) · Computer security (4 works) · Computer vision (4 works) · Digital watermarking (4 works) · Encryption (4 works) · Chaos-based Image/Signal Encryption (3 works) · Singular value decomposition (3 works) · Watermark (3 works)