Shwetambari Borade
@sakec.ac.in
Scopus Publications
- Fusion Based Multi-Branch Deep Learning Framework for Real Time Audio Deepfake Detection in Financial Fraud Prevention
Akshay N Shetye, Nilakshi Jain, Shwetambari Borade, Vineet Kumar
2026 International Conference on Emerging Smart Computing and Informatics Esci 2026, 2026 - Integrative Image Processing Framework for Enhanced Detection of Leprosy-Associated Chronic Wounds
Jalpa Mehta, Saraswati Mishra, Rashmi Nilesh Malvankar, Shwetambari Borade
International Journal of Lower Extremity Wounds, 2026
Automated leprosy chronic wound analysis from smartphone-acquired images remains hindered by uneven illumination, indistinct lesion margins, and poor spatial–textural integration. The CO-WinF framework introduces three specialized modules: AINCE, which performs tile-adaptive contrast remapping guided by local intensity distributions and edge-preserving smoothing to restore fine lesion textures; MEPS, which executes simultaneous multi-resolution encoding within a U-Net backbone enhanced by gradient-driven attention to emphasize boundary transitions and ensure accurate segmentation of irregular wound contours; and HSTFC, which leverages attention-weighted fusion of deep spatial embeddings and handcrafted LBP and HOG texture histograms, followed by classification via a gradient-boosted ensemble optimized for class imbalance. Validation on the CO2Wounds-V2 dataset yields 94.98% precision, 95.78% recall, 93.10% F1-score, and 87.09% IoU, surpassing existing state-of-the-art approaches. By integrating localized enhancement, edge-aware segmentation, and hybrid feature fusion in a computationally efficient pipeline, CO-WinF delivers robust, interpretable diagnostic support in resource-constrained clinical environments. Key novelties include the tile-adaptive remapping within AINCE, the gradient-driven attention integrated at scales in MEPS, and the attention-weighted fusion of spatial and textural features in HSTFC. By addressing pre-processing and feature-level integration challenges, CO-WinF establishes a benchmark for smartphone wound analysis. - File Storage and Sharing Using Hybrid Cryptography
Rupali Vairagade, Shailesh Hiralal Yadav, Harshal Raju Ismulwar, Manoj Ramashish Gupta, Nilakshi Jain, et al.
Lecture Notes in Networks and Systems, 2026 - Deepfake Technologies in Financial Fraud: Generation, Detection, and Mitigation Strategies
Akshay Shetye, Nilakshi Jain, Shwetambari Borade, Vineet Kumar
2025 Global Conference in Emerging Technology Ginotech 2025, 2025 - From Simulation to Application: The Role of CTF Competitions in Cybersecurity Training
Yash Nagare, Jasjyot Singh Saini, Deep Parasiya, Vineet Kumar, Nilakshi Jain, et al.
2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation Iatmsi 2025, 2025
As technology keeps advancing faster than the abilities of mankind to keep up, it is almost impossible for traditional teaching methods to maintain themselves while teaching students the things they need for the outside world. A nice overview is given in this paper regarding the way fun little challenges called Capture the Flag (CTF) can actually make a difference in teaching cybersecurity. Unlike reading books, these challenges put you right in the action and teach you how to solve problems like a real cyber professional. We, therefore, look closely at the way these challenges are designed, used, and how effective they turn out to be in teaching cybersecurity. We find out that these challenges are not just fun but really help people learn and remember important stuff. In addition, we see that they are used in classrooms and job training right up to big competitions. This paper closes with closer examination of how these challenges help people think and solve better while staying safe online. The bottom line is that these challenges are more than just fun and are of crucial importance for teaching the cybersecurity skills that everyone needs in today's digital world. - Deepfake Technology and Image Forensics: Advancements, Challenges, and Ethical Implications in Synthetic Media Detection
International Journal of Intelligent Systems and Applications in Engineering, 2024 - HoneyTrack: An improved honeypot
Atharva Auti, Shrawani Pagar, Vivek Mishra, Jay Makwana, Shwetambari Borade
2023 IEEE International Students Conference on Electrical Electronics and Computer Science Sceecs 2023, 2023
With the tremendous growth of cyber-attacks, the loss of private or sensitive data has risen to a peak. Honeypots are one of the most concerned topics in the field of cyber security currently. HoneyTrack is a honeypot that uses various technologies like Docker, Shell Scripts, Python, Elastic Search, Kibana, and Filebeats which protect an organization's database as well it backtracks the hacker when it intrudes the target network. Information about the attacker will be gathered by the bot in the honeypot which will help us reach the roots of the attacker. The target networks could be varied and cause a lot of damage when sensitive data will be lost/stolen. However, this honeypot is like a traditional honeypot but quite updated with new-generation technology and their needs related to cyber-security. - Deep Scattering Convolutional Network for Cosmetic Skin Classification
Shwetambari Borade, Dhananjay Kalbande, Kristen Pereira, Rushil Patel, Sudhanshu Kulkarni
International Journal of Engineering Trends and Technology, 2022 - An Automated approach to detect & diagnosis the type of Cosmetic Skin & its Disease using Machine Learning
Shwetambari Borade, Dhananjay Kalbande, Hemangi Jakaria, Linesh Patil
2022 IEEE 3rd Global Conference for Advancement in Technology Gcat 2022, 2022
Dermatological illnesses are the most serious problem in the twenty-first century, owing to a lack of awareness and the high cost of diagnosis. To address the issue, we believe that automated methods-based applications will be extremely beneficial in the early stages of diagnosis. As a result, in this research, we describe an automated approach for identifying the kind of cosmetic skin and cosmetic skin condition from photographs. Our model is created utilizing machine learning methods. The model consists of three phases: data gathering and data augmentation, features extraction, and prediction. - Human Skin Disease Detection using MLXG model
Ceur Workshop Proceedings, 2022 - Survey paper based critical reviews for Cosmetic Skin Diseases
Shwetambari Borade, Dhananjay Kalbande
Proceedings International Conference on Artificial Intelligence and Smart Systems Icais 2021, 2021
RECENT SCHOLAR PUBLICATIONS
- Fusion Based Multi-Branch Deep Learning Framework for Real Time Audio Deepfake Detection in Financial Fraud Prevention
AN Shetye, N Jain, S Borade, V Kumar
2026 International Conference on Emerging Smart Computing and Informatics … , 2026
2026 - File Storage and Sharing Using Hybrid Cryptography
MR Gupta, N Jain, S Borade
ICT Systems and Sustainability: Proceedings of ICT4SD 2025, Volume 1 1, 287 , 2025
2025 - File Storage and Sharing Using Hybrid Cryptography
R Vairagade, SH Yadav, HR Ismulwar, MR Gupta, N Jain, S Borade
International Conference on ICT for Sustainable Development, 287-296 , 2025
2025 - Deepfake Technologies in Financial Fraud: Generation, Detection, and Mitigation Strategies
A Shetye, N Jain, S Borade, V Kumar
2025 Global Conference in Emerging Technology (GINOTECH), 1-6 , 2025
2025
Citations: 2 - From Simulation to Application: The Role of CTF Competitions in Cybersecurity Training
Y Nagare, JS Saini, D Parasiya, V Kumar, N Jain, P Sikdar, S Borade
2025 IEEE International Conference on Interdisciplinary Approaches in … , 2025
2025
Citations: 5 - Detecting Deepfakes: Exploring Machine Learning Models for Audio, Video, and Image Analysis
JS Nilakshi Jain, Shwetambari Borade, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024 - DETEK-AI: A Web-based Deepfake Detection System
DN Dr. Shwetambari Borade, Aabha Wagh,Vaidehi Salvi, Parth Savla
International Journal of Scientific Research in Engineering and Management … , 2024
2024
Citations: 3 - Deepfake Technology and the Detection Methods: A Review
DSB Aabha Wagh, Vaidehi Salvi, Parth Savla, Drashti Nagda
Journal of Emerging Technologies and Innovative Research 11 (4), o224-o229 , 2024
2024 - RECON DNS IP
CP Deepranjan Bhosale, Akshat Adavadkar, Shubham Kolaskar, Dr. Shwetambari ...
INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT … , 2024
2024 - SafeGuardProbe
SB Parshva Chetan Doshi, Darsh Bharat Patel, Darsh Bhavesh Patel, Omkar ...
Journal of Emerging Technologies and Innovative Research 11 (4), 325-329 , 2024
2024 - UNALTERED: A FILE INTEGRATION MANAGEMENT SYSTEM
DSB Manoj Ramashish Gupta, Rahul Santanu Jana, Jigar Bharat Ojha
International Journal of Scientific Research in Engineering and Management … , 2024
2024 - Deepfake Detection Using EfficientNetB7: Efficacy, Efficiency, and Adaptability
JS Nilakshi Jain, Shwetambari Borade, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024
Citations: 5 - Securing Visual Integrity: An EfficientNetB4-Based Solution with Attention Layers and Siamese Training for Face Manipulation Detection in Videos
JS Nilakshi Jain, Shwetambari Borade, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024 - Harmonizing Algorithms: An Approach to Enhancing Audio Deepfake Detection
JS Shwetambari Borade, Nilakshi Jain, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024 - Improving Deepfake Audio Detection: A Support Vector Machine Approach with Mel-Frequency Cepstral Coefficients
JS Shwetambari Borade, Nilakshi Jain, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intellugent Systems and Applications in Engineering … , 2024
2024
Citations: 4 - ResNet50 deepfake detector: unmasking reality
S Borade, N Jain, B Patel, V Kumar, M Godhrawala, S Kolaskar, Y Nagare, ...
Indian J. Sci. Technol 17 (13), 1263-1271 , 2024
2024
Citations: 11 - Advancements in Video Deepfake Detection: Integration of ResNet50, EfficientNetB7, and Efficient NetAutoAtt B4 Models
JS Shwetambari Borade, Nilakshi Jain, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024 - MaliceSpotter: Revolutionizing Cyber Security with Machine Learning for Phishing Resilience
S Borade, PC Doshi, DB Patel
Indian Journal of Science and Technology 17 (10), 870-880 , 2024
2024
Citations: 1 - Enhancing Audio Deepfake Detection using Support Vector Machines and Mel-Frequency Cepstral Coefficients
N Jain, S Borade, B Patel, V Kumar, M Godhrawala, S Kolaskar, Y Nagare, ...
Journal of Harbin Engineering University 45 (1) , 2024
2024
Citations: 4 - System for developing a deep scattering convolutional network for cosmetic skin classification
S Borade, D Kalbande
DE Patent 20 2024 100 262.8 , 2024
2024
MOST CITED SCHOLAR PUBLICATIONS
- Survey paper based critical reviews for Cosmetic Skin Diseases
S Borade, D Kalbande
2021 International Conference on Artificial Intelligence and Smart Systems … , 2021
2021
Citations: 14 - ResNet50 deepfake detector: unmasking reality
S Borade, N Jain, B Patel, V Kumar, M Godhrawala, S Kolaskar, Y Nagare, ...
Indian J. Sci. Technol 17 (13), 1263-1271 , 2024
2024
Citations: 11 - Deep Scattering Convolutional Network for Cosmetic Skin Classification
SK Shwetambari Borade, Dhananjay Kalbande, Kristen Pereira, Rushil Patel
International Journal of Engineering Trends and Technology 70 (7), 10-23 , 2022
2022
Citations: 10 - An Automated approach to detect & diagnosis the type of Cosmetic Skin & its Disease using Machine Learning
S Borade, D Kalbande, H Jakaria, L Patil
2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 1-8 , 2022
2022
Citations: 8 - Network security analyzer: Detection and prevention of web attacks
N Jain, S Pawar, D Kalbande
Proceedings of First International Conference on Information and … , 2016
2016
Citations: 6 - From Simulation to Application: The Role of CTF Competitions in Cybersecurity Training
Y Nagare, JS Saini, D Parasiya, V Kumar, N Jain, P Sikdar, S Borade
2025 IEEE International Conference on Interdisciplinary Approaches in … , 2025
2025
Citations: 5 - Deepfake Detection Using EfficientNetB7: Efficacy, Efficiency, and Adaptability
JS Nilakshi Jain, Shwetambari Borade, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024
Citations: 5 - Deepfake technology and image forensics: advancements, challenges, and ethical implications in synthetic media detection
N Jain, S Borade, B Patel, V Kumar, M Godhrawala, S Kolaskar, Y Nagare, ...
Int. J. Intell. Syst. Appl. Eng 12, 49-58 , 2024
2024
Citations: 5 - HoneyTrack: An improved honeypot
A Auti, S Pagar, V Mishra, J Makwana, S Borade
2023 IEEE International Students' Conference on Electrical, Electronics and … , 2023
2023
Citations: 5 - Improving Deepfake Audio Detection: A Support Vector Machine Approach with Mel-Frequency Cepstral Coefficients
JS Shwetambari Borade, Nilakshi Jain, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intellugent Systems and Applications in Engineering … , 2024
2024
Citations: 4 - Enhancing Audio Deepfake Detection using Support Vector Machines and Mel-Frequency Cepstral Coefficients
N Jain, S Borade, B Patel, V Kumar, M Godhrawala, S Kolaskar, Y Nagare, ...
Journal of Harbin Engineering University 45 (1) , 2024
2024
Citations: 4 - DETEK-AI: A Web-based Deepfake Detection System
DN Dr. Shwetambari Borade, Aabha Wagh,Vaidehi Salvi, Parth Savla
International Journal of Scientific Research in Engineering and Management … , 2024
2024
Citations: 3 - Human Skin Disease Detection using MLXG model
NJ Shwetambari Borade, Dhruv Dodia, Hemangi Jakharia, Ritik Soni
CVMLH-2022: Workshop on Computer Vision and Machine Learning for Healthcare … , 2022
2022
Citations: 3 - System attribute measures of network security analyzer
S Pawar, N Jain, S Deshpande
Proceedings of the ACM Symposium on Women in Research 2016, 51-54 , 2016
2016
Citations: 3 - Deepfake Technologies in Financial Fraud: Generation, Detection, and Mitigation Strategies
A Shetye, N Jain, S Borade, V Kumar
2025 Global Conference in Emerging Technology (GINOTECH), 1-6 , 2025
2025
Citations: 2 - MaliceSpotter: Revolutionizing Cyber Security with Machine Learning for Phishing Resilience
S Borade, PC Doshi, DB Patel
Indian Journal of Science and Technology 17 (10), 870-880 , 2024
2024
Citations: 1 - Fusion Based Multi-Branch Deep Learning Framework for Real Time Audio Deepfake Detection in Financial Fraud Prevention
AN Shetye, N Jain, S Borade, V Kumar
2026 International Conference on Emerging Smart Computing and Informatics … , 2026
2026 - File Storage and Sharing Using Hybrid Cryptography
MR Gupta, N Jain, S Borade
ICT Systems and Sustainability: Proceedings of ICT4SD 2025, Volume 1 1, 287 , 2025
2025 - File Storage and Sharing Using Hybrid Cryptography
R Vairagade, SH Yadav, HR Ismulwar, MR Gupta, N Jain, S Borade
International Conference on ICT for Sustainable Development, 287-296 , 2025
2025 - Detecting Deepfakes: Exploring Machine Learning Models for Audio, Video, and Image Analysis
JS Nilakshi Jain, Shwetambari Borade, Bhavesh Patel, Vineet Kumar, Mustansir ...
International Journal of Intelligent Systems and Applications in Engineering … , 2024
2024
