VLDB 2026 Research / reviewers in the wild / expert
J. Anju
dblp:256/0077
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2024
0000-0002-0366-7164ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Privacy and data protection · 77% Cryptographic primitives and cryptanalysis · 23% | |
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia analysis and retrieval › image retrieval
content-based image retrieval |
0.8 | 1 | 2024 | A Secure Image Outsourcing Using Privacy-Preserved Local Color Layout Descriptor in Cloud Environment · IEEE Trans. Serv. Comput. 2024 |
Privacy and data protection
privacy-preserving image retrieval |
0.8 | 1 | 2024 | A Secure Image Outsourcing Using Privacy-Preserved Local Color Layout Descriptor in Cloud Environment · IEEE Trans. Serv. Comput. 2024 |
Cryptographic primitives and cryptanalysis › encryption
image encryption |
0.2 | 1 | 2024 | A Secure Image Outsourcing Using Privacy-Preserved Local Color Layout Descriptor in Cloud Environment · IEEE Trans. Serv. Comput. 2024 |
Methods — techniques the papers use, named apart from their topics
local color layout descriptor · 1.5dual image signature · 1.5distance metrics · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A Secure Image Outsourcing Using Privacy-Preserved Local Color Layout Descriptor in Cloud EnvironmentabstractSecure storage and content-based retrieval of images on third-party servers without compromising privacy and efficiency is a challenging research problem. In this paper, we propose novel encryption and indexing schemes for secure storage of sensitive images on the cloud server and secure retrieval of the images by authorized image users. The proposed image encryption preserves the Local Color Layout Descriptor for facilitating secure outsourcing of privacy-preserved feature extraction and indexing to the cloud server. The proposed indexing represents each image using a dual image signature generated from encrypted Local Color Layout Descriptors extracted from encrypted images. The scheme employs a novel relevance score incorporating multiple distance metrics on dual image signatures and image matrix rank for better retrieval precision and speed. Experimental evaluation shows that the proposed scheme achieves a mean average precision of 0.68555 with a search time of 0.026 seconds outperforming all the state-of-the-art schemes for image outsourcing. Security analysis is also performed which reveals that the scheme is more secure than the state-of-the-art schemes. J. Anju, R. Shreelekshmi |
IEEE Trans. Serv. Comput. | 1 |
| 2022 | A faster secure content-based image retrieval using clustering for cloud
J. Anju, R. Shreelekshmi |
Expert Syst. Appl. | 1 |