Dr. Aditya Kumar Sahu
@amrita.edu/faculty/aditya-kumar-sahu
Faculty
Amrita Vishwa vidya peetham
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Networks and Communications, Signal Processing, Artificial Intelligence, Computer Engineering
63
Scopus Publications
1782
Scholar Citations
25
Scholar h-index
38
Scholar i10-index
Scopus Publications
- Secured textual medical information using a modified LSB image steganography technique
Roseline Oluwaseun Ogundokun, Oluwakemi Christiana Abikoye, Ezekiel Adebayo Ogundepo, Akinbowale Nathaniel Babatunde, Abdul Rahman Tosho Abdulahi, and Aditya Kumar Sahu
CRC Press - Implementation and analysis of digital watermarking techniques for multimedia authentication
Sayan Das, Priyanka Biswas, Nirmalya Kar, and Aditya Kumar Sahu
CRC Press - Securing the Digital World: A Comprehensive Guide to Multimedia Security
Subhrajyoti Deb and Aditya Kumar Sahu
CRC Press - DWT-DCT Image Watermarking with Quantum-inspired Optimization
The Intelligent Networks and Systems Society - Secure and Imperceptible Frequency-Based Watermarking for Medical Images
Saadaoui Naima, Akram Zine Eddine Boukhamla, Zermi Narima, Khaldi Amine, Kafi Med Redouane, and Aditya Kumar Sahu
Springer Science and Business Media LLC - Breast cancer image classification by using HCNN and LeNet5
Pramoda Patro, Shaik Honey Fathima, R. Harikishore, and Aditya Kumar Sahu
Springer Science and Business Media LLC - Digital to quantum watermarking: A journey from past to present and into the future
Swapnaneel Dhar and Aditya Kumar Sahu
Elsevier BV - Improved multiview biometric object detection for anti spoofing frauds
P. Asmitha, Ch Rupa, S. Nikitha, J. Hemalatha, and Aditya Kumar Sahu
Springer Science and Business Media LLC - Robust data hiding method based on frequency coefficient variance in repetitive compression
Serdar Solak, Abdiwahab Mohamed Abdirashid, Arsene Adjevi, and Aditya Kumar Sahu
Elsevier BV - Introduction to the special section on recent advances in multimedia forensics for cyber security and data tampering (VSI-forens)
Dr. Aditya Kumar Sahu and Dr. Mehdi Hussain
Elsevier BV - Robust medical and color image cryptosystem using array index and chaotic S-box
Durgabati Podder, Subhrajyoti Deb, Debapriya Banik, Nirmalya Kar, and Aditya Kumar Sahu
Springer Science and Business Media LLC - Applications of artificial neural networks in the E-Commerce industry: A qualitative exploration
- Advancements in artificial intelligence for biometrics: A deep dive into model-based gait recognition techniques
Anubha Parashar, Apoorva Parashar, Mohammad Shabaz, Deepak Gupta, Aditya Kumar Sahu, and Muhammad Attique Khan
Elsevier BV - Multimodal imputation-based stacked ensemble for prediction and classification of air quality index in Indian cities
Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, Bhavya Alankar, and Aditya Kumar Sahu
Elsevier BV - Fake news research trends, linkages to generative artificial intelligence and sustainable development goals
Raghu Raman, Vinith Kumar Nair, Prema Nedungadi, Aditya Kumar Sahu, Robin Kowalski, Sasangan Ramanathan, and Krishnashree Achuthan
Elsevier BV - A Systematic Survey on TPE Schemes for the Cloud: Classification, Challenges, and Future Scopes
Keya Chowdhury, Subhrajyoti Deb, Kumar Sekhar Roy, Durgabati Podder, and Aditya Kumar Sahu
Institute of Electrical and Electronics Engineers (IEEE)
It is now essential to ensure security because of the enormous volumes of data being exchanged. Particularly, images are very vulnerable to encryption flaws. Therefore, it is imperative to provide robust security mechanisms for image data. Conventional image encryption methods secure the privacy of necessary information by converting it into noise-like, encrypted ciphertext images that completely obscure visual content. However, the main drawback of this method is that it almost eliminates visual usability in the cloud. Thumbnail-preserving encryption (TPE) was created to solve this problem by retaining the image’s thumbnail appearance even after encryption, providing a compromise between privacy and usability. Aspiring researchers should use this review to understand TPE schemes thoroughly. In this survey, the objectives, benefits, and drawbacks of several methods are examined with an emphasis on image privacy and usability. Notable TPE applications and evaluation metrics are also highlighted in the review. These metrics are grouped into categories such as quality, encryption key, security, and resilience to different kinds of attacks. In addition, a characterization of TPE schemes is provided, along with a comparison and summary of each scheme’s contributions. In addition, we list the open research questions and difficulties that must be resolved to guarantee secure TPE for real-time applications. - Preface
- A Watermark Challenge: Synthetic Speech Detection
Venkata Lalitha Narla, Gulivindala Suresh, Aditya Kumar Sahu, and Meenakshi Kollati
Springer Nature Singapore - Data Privacy Protection Using Lucas Series based Hybrid Reversible Watermarking Approach
Ch. Rupa, R. Pavan Malleswari, Sk. Arshiya Sultana, Mohamed Abbas, and Aditya Kumar Sahu
Institute of Electrical and Electronics Engineers (IEEE)
In today’s digital landscape, maintaining the integrity and ownership of digital content is crucial across various fields, including the critical domain of medical applications. However, existing watermarking techniques face significant challenges, such as vulnerability to attacks and limitations in capacity and robustness. To address these challenges, this work presents a novel hybrid reversible watermarking approach utilizing the Lucas number series (LNS), normalization, and squint ternary least significant bit (STLSB). Additionally, the method incorporates a lightweight encryption technique based on homomorphic binomial coefficients (LHBC) to encrypt watermark images. The encrypted image is then embedded into the cover image at the STLSB position, specifically three bits from the left-most significant bit, resulting in a watermarked image. The Present issues in watermarking medical data include ensuring the watermark’s robustness against attacks while maintaining data integrity and confidentiality, and balancing the need for traceability with the risk of compromising sensitive patient information. Experimental results show that the proposed method significantly improves embedding capacity by approximately 10% compared to existing techniques, achieving a PSNR of 52.0 dB, NCC of 1, SSIM of 0.9967, and consistently low BER, demonstrating enhanced robustness against various attacks, including JPEG compression, sharpening, resizing, and rotation. These findings highlight the method’s effectiveness for secure medical image watermarking applications, ensuring integrity and confidentiality, and extending to practical uses in digital asset management, copyright protection, and authentication systems across diverse industries. - A novel medical steganography technique based on Adversarial Neural Cryptography and digital signature using least significant bit replacement
Mohamed Abdel Hameed, M. Hassaballah, Riem Abdelazim, and Aditya Kumar Sahu
Elsevier BV - Multimodal Imputation based Multimodal autoencoder framework for AQI classification and prediction of Indian cities
Routhu Srinivasa Rao, Lakshmana Rao Kalabarige, M. Raviraja Holla, and Aditya Kumar Sahu
Institute of Electrical and Electronics Engineers (IEEE)
Rising urbanization necessitates robust air quality monitoring and prediction systems, particularly in developing nations like India, to mitigate adverse health impacts. Previous research primarily focused on machine learning algorithms for Air Quality Index (AQI) prediction and classification. We propose a novel MI-MMA-XGB which coupled features of multimodal imputer(MI) with the features of multi-modal autoencoder (MMA) and fed to an XGBoost(XGB) algorithm for AQI prediction and classification. Moreover, imputation approaches namely, KNN, MICE, and SVD were employed to address problems with null values and outliers. Furthermore, SMOTE is employed to balance the imputed data and then the model was trained on both balanced and unbalanced imputed data to extract predictive features. In this process, our model MI-MMA-XGB achieves significant accuracy, reaching 97.14% and 93.87% with and without SMOTE, respectively. Additionally, it attains an $R^{2}$ score of 0.9578 and an RMSE of 0.203 for AQI prediction in Indian cities. The proposed model outperforms baseline models in both classification and regression tasks across various evaluation metrics. - A novel image compression method using wavelet coefficients and Huffman coding
Shiju Thomas, Addapalli Krishna, Sabeen Govind, and Aditya Kumar Sahu
Elsevier BV - Multimedia Watermarking: Latest Developments and Trends
Springer Nature Singapore - Opposing agents evolve the research: a decade of digital forensics
Raghu Raman, Aditya Kumar Sahu, Vinith Kumar Nair, and Prema Nedungadi
Springer Science and Business Media LLC - Enhancing Security and Ownership Protection of Neural Networks Using Watermarking Techniques: A Systematic Literature Review Using PRISMA
Roseline Oluwaseun Ogundokun, Christiana Oluwakemi Abikoye, Aditya Kumar Sahu, Akinyemi Omololu Akinrotimi, Akinbowale Nathaniel Babatunde, Peter O. Sadiku, and Omosola Jacob Olabode
Springer Nature Singapore
RECENT SCHOLAR PUBLICATIONS
- Implementation and analysis of digital watermarking techniques for multimedia authentication
S Das, P Biswas, N Kar, AK Sahu
Securing the Digital World, 18-35 2025 - Secured Textual Medical Information using a Modified LSB Image Steganography Technique
RO Ogundokun, OC Abikoye, EA Ogundepo, T Abdulahi, AK Sahu
Securing the Digital World: A Comprehensive Guide to Multimedia Security, 82 2025 - Securing the Digital World A Comprehensive Guide to Multimedia Security
S Deb, AK Sahu
CRC Press (T&F), 1-166 2025 - DWT-DCT Image Watermarking with Quantum-inspired Optimization
N Rijati, SK Ghosal, AK Sahu, A Sambas, DR Ignatius Moses Setiadi
International Journal of Intelligent Engineering & Systems 18 (1) 2025 - Breast cancer image classification by using HCNN and LeNet5
P Patro, SH Fathima, R Harikishore, AK Sahu
Discover Sustainability 5 (1), 491 2024 - Digital to quantum watermarking: A journey from past to present and into the future
S Dhar, AK Sahu
Computer Science Review 54, 100679 2024 - A systematic survey on TPE schemes for the cloud: Classification, Challenges and Future Scopes
K Chowdhury, S Deb, KS Roy, D Podder, AK Sahu
IEEE Access 2024 - Improved multiview biometric object detection for anti spoofing frauds
P Asmitha, C Rupa, S Nikitha, J Hemalatha, AK Sahu
Multimedia Tools and Applications 83 (33), 80161-80177 2024 - Data Privacy Protection Using Lucas Series based Hybrid Reversible Watermarking Approach
C Rupa, RP Malleswari, SA Sultana, M Abbas, AK Sahu
IEEE Access 2024 - Secure and imperceptible frequency-based watermarking for medical images
S Naima, AZE Boukhamla, Z Narima, K Amine, KM Redouane, AK Sahu
Circuits, Systems, and Signal Processing, 1-22 2024 - Multimodal Imputation based Multimodal autoencoder framework for AQI classification and prediction of Indian cities
RS Rao, LR Kalabarige, MR Holla, AK Sahu
IEEE Access 2024 - Introduction to the special section on recent advances in multimedia forensics for cyber security and data tampering (VSI-forens)
AK Sahu, DM Hussain
2024 - Robust data hiding method based on frequency coefficient variance in repetitive compression
S Solak, AM Abdirashid, A Adjevi, AK Sahu
Engineering Science and Technology, an International Journal 101756 (101756 2024 - Robust medical and color image cryptosystem using array index and chaotic S-box
D Podder, S Deb, D Banik, N Kar, AK Sahu
Cluster Computing 27 (4), 4321-4346 2024 - Opposing agents evolve the research: a decade of digital forensics
R Raman, AK Sahu, VK Nair, P Nedungadi
Multimedia Tools and Applications, 1-29 2024 - Applications of Artificial Neural Networks in the E-Commerce Industry: A Qualitative Exploration
K Anitha, AK Sahu
https://www.scopus.com/record/display.uri?eid=2-s2.0-85195762568&origin 2024 - Advancements in artificial intelligence for biometrics: a deep dive into model-based gait recognition techniques
A Parashar, A Parashar, M Shabaz, D Gupta, AK Sahu, MA Khan
Engineering Applications of Artificial Intelligence 130, 107712 2024 - Multimodal imputation-based stacked ensemble for prediction and classification of air quality index in Indian cities
RS Rao, LR Kalabarige, B Alankar, AK Sahu
Computers and Electrical Engineering 114, 109098 2024 - Multimedia Watermarking: Latest Developments and Trends
AK Sahu
Springer Nature Singapore 2024 - A Watermark Challenge: Synthetic Speech Detection
VL Narla, G Suresh, AK Sahu, M Kollati
Multimedia Watermarking: Latest Developments and Trends, 87-101 2024
MOST CITED SCHOLAR PUBLICATIONS
- An Optimal Information Hiding Approach Based on Pixel Value Differencing and Modulus Function
AK Sahu, G Swain
Wireless Personal Communications-Springer, 1-16 2019
Citations: 117 - Performance evaluation parameters of image steganography techniques
A Pradhan, AK Sahu, G Swain, KR Sekhar
2016 International conference on research advances in integrated navigation 2016
Citations: 117 - High Fidelity based Reversible Data Hiding using Modified LSB Matching and Pixel Difference
AK Sahu, G Swain
Journal of King Saud University - Computer and Information Sciences-Elsevier 2019
Citations: 112 - Reversible Image Steganography Using Dual-Layer LSB Matching
AK Sahu, G Swain
Sensing and Imaging-Springer 21 (1), https://doi.org/10.1007/s11220-019-0262- 2020
Citations: 93 - Digital image steganography and steganalysis: A journey of the past three decades
AK Sahu, M Sahu
Open Computer Science 10 (1), 296–342 2020
Citations: 91 - Digital Image Steganography Using Bit Flipping
AK Sahu, G Swain and E. Suresh Babu
Cybernetics and Information Technologies 18 (1), 69-80 2018
Citations: 81 - Dual Stego-imaging Based Reversible Data Hiding Using Improved LSB Matching
AK Sahu, G Swain
International Journal of Intelligent Engineering and Systems 12 (5), 63-73 2019
Citations: 64 - A logistic map based blind and fragile watermarking for tamper detection and localization in images
AK Sahu
Journal of Ambient Intelligence and Humanized Computing-Springer 2021
Citations: 59 - Multi-directional block based PVD and modulus function image steganography to avoid FOBP and IEP
AK Sahu, G Swain, M Sahu, J Hemalatha
Journal of Information Security and Applications-Elsevier 58, 102808 2021
Citations: 59 - Improving grayscale steganography to protect personal information disclosure within hotel services
AK Sahu, A Gutub
Multimedia Tools and Applications-Springer 2022
Citations: 57 - A Novel n-Rightmost Bit Replacement Image Steganography Technique
AK Sahu, G Swain
3D Research-Springer 10 (1), 2 2019
Citations: 56 - Secure Reversible Data Hiding using Block-Wise Histogram Shifting
S Kamil, M Sahu, KR Raghunandan, AK Sahu
Electronics 12 (5), 1222 2023
Citations: 53 - Dual image-based reversible fragile watermarking scheme for tamper detection and localization
AK Sahu, M Sahu, P Patro, G Sahu, SR Nayak
Pattern Analysis and Applications 26 (2), 571-590 2023
Citations: 49 - Towards improving the performance of blind image steganalyzer using third-order SPAM features and ensemble classifier
J Hemalatha, M Sekar, C Kumar, A Gutub, AK Sahu
Journal of Information Security and Applications 76, 103541 2023
Citations: 46 - Local binary pattern based reversible data hiding
M Sahu, N Padhy, SS Gantayat, AK Sahu
CAAI Transactions on Intelligence Technology, 1-20 2022
Citations: 46 - An improved data hiding technique using bit differencing and LSB matching
AK Sahu, G Swain
Internetworking Indonesia Journal 10 (1), 17-21 2018
Citations: 46 - Pixel overlapping image steganography using PVD and modulus function
AK Sahu, G Swain
3D Research-Springer 9 (3), 1-14 2018
Citations: 43 - Chaotic-Map Based Encryption for 3D Point and 3D Mesh Fog Data in Edge Computing
KR Raghunandan, R Dodmane, K Bhavya, NSK Rao, AK Sahu
IEEE Access 11, 3545-3554 2023
Citations: 41 - A study on content tampering in multimedia watermarking
AK Sahu, K Umachandran, VD Biradar, O Comfort, V Sri Vigna Hema, ...
SN Computer Science 4 (3), 222 2023
Citations: 40 - A review on LSB substitution and PVD based image steganography techniques
AK Sahu, G Swain
Indonesian Journal of Electrical Engineering and Computer Science 2 (3), 712-719 2016
Citations: 40