Maroti Deshmukh

dblp:180/2955 · DBLP profile ↗
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17ranked-venue papers
5as first author
9since 2021 · last 2026
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 7 · 2 first-author · 2 since 2021Systems, architecture and hardware · 4 · 4 since 2021Artificial intelligence and machine learning · 2 · 2 since 2021Computer networks · 1 · 1 first-author · 1 since 2021Security and privacy · 1Databases, data management, data science and information retrieval · 1 · 1 first-author
YearPublicationVenuePosition
2026 A novel deep learning framework for tiny person detection in complex and dynamic environments
Rakhi Nautiyal, Maroti Deshmukh
Image Vis. Comput.2
2026 A dual-modality deep learning approach for fine-grained sentiment analysis using speech and text
Divya Agrawal, Maroti Deshmukh, Surendra Singh
Knowl. Based Syst.2
2025 (k, n) Threshold Secret Image Sharing using linear algebra for secure multimedia transmission
Maroti Deshmukh, Arjun Singh Rawat
Peer Peer Netw. Appl.1
2025 VS-MSS: Visual saliency-based efficient and secure multi-secret sharing scheme over cloud storage
Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh, Sandeep Chand Kumain, Lalit Kumar Awasthi
J. Supercomput.2
2024 A framework for counting based secret sharing scheme for images
Bhawana Parihar, Maroti Deshmukh, Arjun Singh Rawat
Multim. Tools Appl.2
2024 A survey on counting-based secret sharing schemes for resource-constrained environments: techniques, security, challenges, and future directions
Bhawana Parihar, Arjun Singh Rawat, Maroti Deshmukh
J. Supercomput.3
2023 A novel multi secret image sharing scheme for different dimension secrets
Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh
Multim. Tools Appl.2
2023 Natural share-based lightweight (n, n) single secret image sharing scheme using LSB stuffing for medical images
Arjun Singh Rawat, Maroti Deshmukh, Maheep Singh
J. Supercomput.2
2021 A novel approach for multilevel multi-secret image sharing scheme
Kanchan Bisht, Maroti Deshmukh
J. Supercomput.2
2020 Tree and elliptic curve based efficient and secure group key agreement protocol
Arjun Singh Rawat, Maroti Deshmukh
J. Inf. Secur. Appl.2
2020 Object detection framework to generate secret shares
Ayushi Agarwal, Maroti Deshmukh, Maheep Singh
Multim. Tools Appl.2
2020 Single secret image sharing scheme using neural cryptography
Mayank Gupta 0003, Manu Gupta, Maroti Deshmukh
Multim. Tools Appl.3
2019 Secret sharing scheme based on binary trees and Boolean operation
Maroti Deshmukh, Neeta Nain, Mushtaq Ahmed
Knowl. Inf. Syst.1
2019 Image compression and encryption using chinese remainder theorem
Tejas Duseja, Maroti Deshmukh
Multim. Tools Appl.2
2018 Efficient and secure multi secret sharing schemes based on boolean XOR and arithmetic modulo
Maroti Deshmukh, Neeta Nain, Mushtaq Ahmed
Multim. Tools Appl.1
2017 A novel approach for sharing multiple color images by employing Chinese Remainder Theorem
Maroti Deshmukh, Neeta Nain, Mushtaq Ahmed
J. Vis. Commun. Image Represent.1
2016 An (n, n)-Multi Secret Image Sharing Scheme Using Boolean XOR and Modular Arithmetic
abstract
Secret sharing scheme is an efficient method of transmitting one or more secret images securely. The traditional visual secret sharing schemes share only one secret image at a time. With the advancement of time, there arises a need for sharing more than one secret image. An (n, n) Multi Secret Image Sharing (MSIS) scheme is used to encrypt n secret images into n meaningless shared images and stored it in different database servers. For recovery of secrets n shared images are required. If loss of any shared image then no secret images are recovered. In earlier work n secret images are shared among n or n+1 shared images, which has a problem as one can recover partial secret information from n -- 1 or fewer shared images. Therefore, we need a more efficient and secure (n, n)-MSIS scheme so that less than n shared images does not reveal any information of secret images. In this paper, we propose an three different methods for (n, n)-MSIS scheme. First and second methods of an (n, n)- MSIS scheme, we used XOR and reverse bit operation for grayscale and colored images. In third method of an (n, n)-MSIS scheme, we used the concept of additive inverse (relative to an addition operation) and reverse bit operation for grayscale and colored images. The experimental results show that the proposed schemes requires minimal computation time for encryption and decryption. For quantitative analysis a correlation and Root Mean Square Error (RMSE) techniques are used. The proposed (n, n)-MSIS scheme outperforms the existing state-of-the-art techniques.
Maroti Deshmukh, Neeta Nain, Mushtaq Ahmed
AINA1