BINDU MADAVI K P

@gitam.edu

Assistant Professor, Department of Computer Science and Engineering
GITAM University

BINDU MADAVI K P


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https://researchid.co/bindu
Seeking a challenging position to utilize my skills and abilities in the area of Teaching and education that offers professional growth while being resourceful, innovative, and flexible

EDUCATION

Ph.D. in Computer Science & Engineering, Sir MVIT, VTU,2022
Master of Technology in Computer Science passed out 2013 from SET, Jain University
Bachelor of Engineering in Information Science passed out 2010 from JVIT, VTU

RESEARCH INTERESTS

Cloud Computing, Cryptography, Deep Learning
23

Scopus Publications

58

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • IOT and UAV Integrated System for Proactive Crop Disease Prediction
    K. Krishna Sowjanya, K. P. Bindu Madavi
    Studies in Computational Intelligence, 2026
  • Securing patient information: A multilayered cryptographic approach in IoT healthcare
    Madavi K. P. Bindu, Sowjanya K. Krishna
    Next Generation Mechanisms for Data Encryption, 2025
    The increasing integration of devices utilising the of Internet of Things (IoT) in healthcare has resulted in the collection of an unparalleled volume of patient data. Personal identifiers, insurance information, medical history, and health monitoring measures are all included in a complete dataset. Ensuring security and privacy of IoT devices is crucial in the healthcare sector. The goal of this project is to combine steganography with three different cryptographic algorithms to develop a hybrid cryptographic technique. Among the algorithms under investigation are steganography, Caesar cipher, columnar transposition cipher, and one-time pad. Every encryption scheme uses three keys to encrypt patient data. The encrypted data is subsequently encoded into an image file through image-based steganography. To ensure confidentiality and authentication, an authorised user can decrypt the file through a designated decryption process, maintaining the integrity of patient data.
  • Quantum cryptography: An in-depth exploration of principles and techniques
    Sowjanya K. Krishna, Madavi K. P. Bindu
    Next Generation Mechanisms for Data Encryption, 2025
    Quantum cryptography is evolving in the field of data security and cryptographic research, as it offers a high level of security based on the principles of quantum mechanics. This chapter provides an extensive understanding and in-depth explanation about the basic concepts of the techniques implemented in quantum cryptography. The exploration of the fundamental concepts begins with elaboration on the foundational concepts of quantum mechanics, such as no-cloning, entanglement, superposition, and quantum state measurement, which are crucial for the better understanding of quantum cryptography. Further, the chapter delves more into the quantum key distribution (QKD) protocols such as BB84, BBM92, and B92. All the QKD protocols are analysed and compared based on the underlying principles and techniques. Furthermore, the importance and benefits of the integration of quantum cryptography with the traditional algorithms are also discussed. The chapter also aims to provide thorough study of quantum cryptography principles, challenges, and future directions along with a detailed comprehensive review of quantum cryptographic techniques.
  • Data-Driven Malware Detection: Exploring Supervised Machine Learning Approaches
    Helna Joseph, Erin Manjus, Sujatha Arun Kokatnoor, K. P. Bindu Madavi
    Lecture Notes in Networks and Systems, 2025
  • Online alert system for DDoS attack detection and prevention using machine learning classification algorithms
    Bindu Madavi K. P., Krishna Sowjanya K., Tanvir Habib Sardar, Ahamed Shafeeq B. M.
    Cogent Engineering, 2025
    Distributed Denial of Service (DDoS) attack makes a server inaccessible by flooding it with fallacious traffic. It uses many intermediate devices such as computers, servers, smartphones, and even IoT Devices to generate false traffic. These attacks become more threatening if the attackers use any of these devices to have access to WiFi routers, security cameras, smart devices, etc. This paper proposes a model for DDoS attack detection and mitigation that identifies the DDoS attack and alerts the administrative authorities with the help of machine learning classification algorithms. The paper surveys discrete types of Machine Learning algorithms to identify and mitigate the DDoS attack. Three labeled datasets are employed in this paper to train the model for effective DDOS attack detection with better accuracy. These data sets comprises of benign and malignant attacks to train and test the classification algorithms. Based on the experimental results and performance metrics, it is identified that the XGBoost algorithm provided better accuracy of 99.8% on all three labeled datasets.
  • Attention-Enhanced Vision Transformer Model for Precise Skin Cancer Detection
    VN Manju, Dayana D S, Neha Patwari, Bindu Madavi K P, Krishna Sowjanya K
    Proceedings of 2025 International Conference on Emerging Technologies in Computing and Communication Etcc 2025, 2025
    Skin cancer is one of the most prevalent and potentially fatal diseases, requiring early and accurate detection for effective treatment. Recent advances in deep learning have significantly improved automated skin lesion classification, but traditional Convolutional Neural Networks (CNNs) struggle with capturing long-range dependencies in dermoscopic images. To address this limitation, we propose a Preprocessing-Optimized Vision Transformer (ViT) Model that enhances lesion detection using attention-based feature fusion. Our methodology includes contrast enhancement (CLAHE), hair removal (DullRazor), lesion segmentation (K-Means + Otsu's Thresholding), and data augmentation, ensuring robust model training. The proposed Attention-Enhanced ViT Model effectively learns global contextual features from dermoscopic images through self-attention mechanisms. The proposed model is evaluated our model on the ISIC Skin Cancer Dataset, achieving an accuracy of 94.6%, precision of 92.8%, recall of 93.5%, and an AUC-ROC score of 0.97, outperforming traditional CNN-based models such as ResNet50 (92.1 % accuracy) and EfficientNet-B0 (93.3% accuracy). Our results demonstrate that integrating preprocessing techniques with Vision Transformers significantly enhances classification performance, making this approach a viable solution for real-world computer-aided dermatology.
  • Dynamic Load Balancing in Cloud Computing Using Memetic Algorithm for Better Response Time
    K Krishna Sowjanya, K P Bindu Madavi, Gaurav Khater, Aaron Jacob, Emaduddin Shamim Ahmad
    Proceedings of 2025 IEEE International Conference on Contemporary Computing and Communications Inc4 2025, 2025
    Load balancing is a critical aspect of distributed computing systems, involving the distribution of workload across multiple resources to ensure optimal utilization and performance. In today’s digital landscape, where the demand for online services continues to grow exponentially, efficient load balancing mechanisms are indispensable for maintaining high availability, scalability, and reliability of web applications, cloud services, and network infrastructures. The paper implements a load balancing solution using a Memetic Algorithm, an amalgamated optimization method that integrates elements of genetic algorithms with local search methods. By leveraging the principles of evolutionary computation and problem-specific knowledge, memetic algorithms offer a promising approach to addressing the complex optimization and the hurdles connected with the load distribution across the systems. The proposed algorithm is compared with the existing algorithms and proved to be slightly better than the traditional algorithm in terms of response time. Experimental results show that the proposed approach reduces response time by 0.26 seconds.
  • Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing
    K. P. Bindu Madavi, K. Krishna Sowjanya, Tanvir H. Sardar, Manoj Seetharama Reddy, Sri Ram Nimmalapudi
    Springer Tracts on Transportation and Traffic, 2025
  • IoT Based Bus Identification and Distance Notifier for the Visually Impaired
    Bettina S Mathew, Aishwarya Chundru, Himanshi Gaur, Bindu Madavi K P, Krishna Sowjanya K
    International Conference on Innovations in Intelligent Systems Advancements in Computing Communication and Cybersecurity Isac3 2025, 2025
    Public transport is a major obstacle for the visually impaired, and it tends to limit their independence and mobility. To overcome this problem, the current project presents an IoT-based bus identification and distance notification system that is meant to offer real-time support and improve the traveling experience of the visually impaired commuters. The system uses a Raspberry Pi controller in combination with an RFID reader and several RFID cards, each one of which is designated for a particular bus, to detect oncoming vehicles. A GPS unit monitors the position of the bus at all times, so it is possible to calculate exact distances to any of the stops. For additional convenience, the system includes three push-button switches programmed to three predetermined bus stops. Users may pick their destination stop, and the system will offer auditory feedback in terms of distance to the selected destination. Feedback is offered by an earphone, providing hands-free use and receiving instructions without visual interaction. The integration of RFID-based bus identification, GPS location, and voice guidance provides smooth real-time information, less reliant on outside help. The system increases mobility confidence through accurate, timely, and convenient information, enabling blind travelers to make use of public transport independently. Through the combination of IoT technology and assistive technologies, the project enables enhanced accessibility and inclusion in urban mobility systems.
  • Revolutionizing Road Transportation: The Role of Artificial Intelligence in Smart and Efficient Systems
    Md Forkan Hossain Fahim, Muhammad Mansur Usman, Md Al Mahedi Hassan, Tanvir Habib Sardar, K. P. Bindu Madavi, Nirmala Venkatachalam
    Springer Tracts on Transportation and Traffic, 2025
  • Large-Scale Data Processing in Cloud Computing Environment: Hadoop-MapReduce
    K Krishna Sowjanya, K P Bindu Madavi
    Big Data Computing Advances in Technologies Methodologies and Applications, 2024
  • Credit Card Fraud Detection Using Big Data Analytics and Machine Learning
    K P Bindu Madavi, K Krishna Sowjanya
    Big Data Computing Advances in Technologies Methodologies and Applications, 2024
  • A Time-based Secured Framework for Key-Exchange Between Trusted Parties: Quantum-Key Distribution Protocol
    Bindu Madavi K P, Krishna Sowjanya K, Neha Patwari, Shobharani D A
    2024 IEEE Silchar Subsection Conference Silcon 2024, 2024
  • Security and Privacy Issues in Cloud and IoT Technology and Their Countermeasures
    K. P. Bindu Madavi, Panditi Neelaveni, Pujari Rakesh, Singamsetty Asish
    Internet of Things, 2024
  • Game Theory in the Metaverse: Strategies, Interactions, and Implications
    Renuka R. Patil, B N Chaithanya, Vamsidhar Yendapalli, K P Bindu Madavi, K Geetha
    Healthcare Services in the Metaverse Game Theory AI Iot and Blockchain, 2024
  • Preserving the privacy of wearable IoT device data using blockchain
    K.K. Sowjanya, K.P.B. Madavi, G. Thahniyath
    Blockchain Applications in Cybersecurity Solutions, 2023
  • Embedded Light-Weight Cryptography Technique to Preserve Privacy of Healthcare Wearable IoT Device Data
    Bindu Madavi K P, Krishna Sowjanya K, Neha Patwari
    2nd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2023, 2023
  • DeepKidney: Multiclass Classification of Kidney Stones, Cysts, Tumors, and Normal Cases Using Convolutional Neural Networks
    Krishna Sowjanya K, Bindu Madavi K P, Neha Patwari, Shobharani D A
    4th International Conference on Communication Computing and Industry 6 0 C216 2023, 2023
  • Sequential Computational Time-Released Encryption Technique Using Variable Time Delay
    Krishna Sowjanya K, Bindu Madavi K P, Neha Patwari, Shobharani D A, Manju V N
    2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
  • Analysis of security challenges and threats in social network and cloud computing
    K.P. Bindu Madavi, P. Vijayakarthik
    Cloud and Fog Computing Platforms for Internet of Things, 2022
  • Decoy technique for preserving the privacy in fog computing
    K. P. Bindu Madavi, P. Vijayakarthick
    Lecture Notes on Data Engineering and Communications Technologies, 2021
  • Enhanced Cloud Security using Cryptography and Steganography Techniques
    K P Bindu Madavi, P. Vijaya Karthick
    Proceedings of IEEE International Conference on Disruptive Technologies for Multi Disciplinary Research and Applications Centcon 2021, 2021
  • Cloud computing performance analysis strategy to enhance the QOS for imminent it sector
    Bindu Madavi
    Journal of Advanced Research in Dynamical and Control Systems, 2020

RECENT SCHOLAR PUBLICATIONS

  • EfficientNetB0 Deep Learning Model for Early Tomato Leaf Disease Prediction and Diagnosis
    DA Shobharani, K Krishna Sowjanya, KP Bindu Madavi, D Yogish, ...
    Agricultural Automation with IoT: A Pathway to Sustainable Development, 143-156 , 2026
    2026
  • Online alert system for DDoS attack detection and prevention using machine learning classification algorithms
    B Madavi KP, K Sowjanya K, TH Sardar, A Shafeeq BM
    Cogent Engineering 12 (1), 2588895 , 2025
    2025
  • IOT and UAV Integrated System for Proactive Crop Disease Prediction
    KK Sowjanya, KPB Madavi
    AI-Driven IoT Solutions in Agriculture: New Insights, 287-303 , 2025
    2025
  • Exploring Supervised Machine Learning Approaches
    KPB Madavi
    Data Science and Security: Proceedings of IDSCS 2024, Volume 1 1, 465 , 2025
    2025
  • IoT Based Bus Identification and Distance Notifier for the Visually Impaired
    BS Mathew, A Chundru, H Gaur, BM KP
    2025 International Conference on Innovations in Intelligent Systems … , 2025
    2025
  • Attention-enhanced vision transformer model for precise skin cancer detection
    VN Manju, DS Dayana, N Patwari, BM KP
    2025 International Conference on Emerging Technologies in Computing and … , 2025
    2025
    Citations: 4
  • Revolutionizing Road Transportation: The Role of Artificial Intelligence in Smart and Efficient Systems
    MFH Fahim, MM Usman, M Al Mahedi Hassan, TH Sardar, ...
    Applications of Computational Learning and IoT in Smart Road Transportation … , 2025
    2025
    Citations: 1
  • Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing
    KP Bindu Madavi, K Krishna Sowjanya, TH Sardar, MS Reddy, ...
    Applications of Computational Learning and IoT in Smart Road Transportation … , 2025
    2025
    Citations: 2
  • Dynamic Load Balancing in Cloud Computing Using Memetic Algorithm for Better Response Time
    KK Sowjanya, KPB Madavi, G Khater, A Jacob, ES Ahmad
    2025 IEEE International Conference on Contemporary Computing and … , 2025
    2025
  • Securing patient information: A multilayered cryptographic approach in IoT healthcare
    MKP Bindu, SK Krishna
    Next Generation Mechanisms for Data Encryption, 106-115 , 2025
    2025
  • Quantum cryptography: An in-depth exploration of principles and techniques
    SK Krishna, MKP Bindu
    Next Generation Mechanisms for Data Encryption, 93-105 , 2025
    2025
  • Quantum cryptography
    K Krishna Sowjanya, BM KP
    Next Generation Mechanisms for Data Encryption, 93 , 2025
    2025
  • A Time-based Secured Framework for Key-Exchange Between Trusted Parties: Quantum-Key Distribution Protocol
    BM KP, N Patwari
    2024 IEEE Silchar Subsection Conference (SILCON 2024), 1-6 , 2024
    2024
    Citations: 1
  • Data-Driven Malware Detection: Exploring Supervised Machine Learning Approaches
    H Joseph, E Manjus, SA Kokatnoor, KPB Madavi
    International Conference on Data Science, Computation and Security, 465-476 , 2024
    2024
    Citations: 1
  • Preventive health care system for early heart disease detection using IoT and machine learning
    KK Sowjanya, KPB Madavi
    Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient … , 2024
    2024
    Citations: 3
  • DNA-Based Secure Image Transmission Framework Using Encryption and LSB Steganography
    KPB Madavi, KK Sowjanya
    Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient … , 2024
    2024
  • Game Theory in the Metaverse: Strategies, Interactions, and Implications
    RR Patil, BN Chaithanya, V Yendapalli, KPB Madavi, K Geetha
    Healthcare Services in the Metaverse, 99-119 , 2024
    2024
  • Security and privacy issues in cloud and IoT technology and their countermeasures
    KP Bindu Madavi, P Neelaveni, P Rakesh, S Asish
    Communication technologies and security challenges in IoT: Present and … , 2024
    2024
    Citations: 1
  • 14 Credit Card Fraud
    DUB Data, KPB Madavi, KK Sowjanya
    Big Data Computing: Advances in Technologies, Methodologies, and … , 2024
    2024
  • Credit card fraud detection using big data analytics and machine learning
    KPB Madavi, KK Sowjanya
    Big Data Computing, 266-280 , 2024
    2024
    Citations: 4

MOST CITED SCHOLAR PUBLICATIONS

  • Enhanced cloud security using cryptography and steganography techniques
    KPB Madavi, PV Karthick
    2021 International Conference on Disruptive Technologies for Multi … , 2021
    2021
    Citations: 14
  • Deepkidney: Multiclass classification of kidney stones, cysts, tumors, and normal cases using convolutional neural networks
    BM KP, N Patwari
    2023 4th International Conference on Communication, Computing and Industry 6 … , 2023
    2023
    Citations: 11
  • Embedded light-weight cryptography technique to preserve privacy of healthcare wearable IoT device data
    BM KP, N Patwari
    2023 International Conference on Distributed Computing and Electrical … , 2023
    2023
    Citations: 9
  • Decoy technique for preserving the privacy in fog computing
    KP Bindu Madavi, P Vijayakarthick
    Evolutionary Computing and Mobile Sustainable Networks: Proceedings of … , 2020
    2020
    Citations: 6
  • Attention-enhanced vision transformer model for precise skin cancer detection
    VN Manju, DS Dayana, N Patwari, BM KP
    2025 International Conference on Emerging Technologies in Computing and … , 2025
    2025
    Citations: 4
  • Credit card fraud detection using big data analytics and machine learning
    KPB Madavi, KK Sowjanya
    Big Data Computing, 266-280 , 2024
    2024
    Citations: 4
  • Preventive health care system for early heart disease detection using IoT and machine learning
    KK Sowjanya, KPB Madavi
    Revolutionizing Healthcare: AI Integration with IoT for Enhanced Patient … , 2024
    2024
    Citations: 3
  • Smart Traffic Systems: Revolutionizing Road Transport with AI and Image Processing
    KP Bindu Madavi, K Krishna Sowjanya, TH Sardar, MS Reddy, ...
    Applications of Computational Learning and IoT in Smart Road Transportation … , 2025
    2025
    Citations: 2
  • Revolutionizing Road Transportation: The Role of Artificial Intelligence in Smart and Efficient Systems
    MFH Fahim, MM Usman, M Al Mahedi Hassan, TH Sardar, ...
    Applications of Computational Learning and IoT in Smart Road Transportation … , 2025
    2025
    Citations: 1
  • A Time-based Secured Framework for Key-Exchange Between Trusted Parties: Quantum-Key Distribution Protocol
    BM KP, N Patwari
    2024 IEEE Silchar Subsection Conference (SILCON 2024), 1-6 , 2024
    2024
    Citations: 1
  • Data-Driven Malware Detection: Exploring Supervised Machine Learning Approaches
    H Joseph, E Manjus, SA Kokatnoor, KPB Madavi
    International Conference on Data Science, Computation and Security, 465-476 , 2024
    2024
    Citations: 1
  • Security and privacy issues in cloud and IoT technology and their countermeasures
    KP Bindu Madavi, P Neelaveni, P Rakesh, S Asish
    Communication technologies and security challenges in IoT: Present and … , 2024
    2024
    Citations: 1
  • Preserving the Privacy of Wearable IoT Device Data Using Blockchain
    KPBMGTKK Sowjanya
    Blockchain Applications in Cybersecurity Solutions 1, 97-116 , 2023
    2023
    Citations: 1
  • EfficientNetB0 Deep Learning Model for Early Tomato Leaf Disease Prediction and Diagnosis
    DA Shobharani, K Krishna Sowjanya, KP Bindu Madavi, D Yogish, ...
    Agricultural Automation with IoT: A Pathway to Sustainable Development, 143-156 , 2026
    2026
  • Online alert system for DDoS attack detection and prevention using machine learning classification algorithms
    B Madavi KP, K Sowjanya K, TH Sardar, A Shafeeq BM
    Cogent Engineering 12 (1), 2588895 , 2025
    2025
  • IOT and UAV Integrated System for Proactive Crop Disease Prediction
    KK Sowjanya, KPB Madavi
    AI-Driven IoT Solutions in Agriculture: New Insights, 287-303 , 2025
    2025
  • Exploring Supervised Machine Learning Approaches
    KPB Madavi
    Data Science and Security: Proceedings of IDSCS 2024, Volume 1 1, 465 , 2025
    2025
  • IoT Based Bus Identification and Distance Notifier for the Visually Impaired
    BS Mathew, A Chundru, H Gaur, BM KP
    2025 International Conference on Innovations in Intelligent Systems … , 2025
    2025
  • Dynamic Load Balancing in Cloud Computing Using Memetic Algorithm for Better Response Time
    KK Sowjanya, KPB Madavi, G Khater, A Jacob, ES Ahmad
    2025 IEEE International Conference on Contemporary Computing and … , 2025
    2025
  • Securing patient information: A multilayered cryptographic approach in IoT healthcare
    MKP Bindu, SK Krishna
    Next Generation Mechanisms for Data Encryption, 106-115 , 2025
    2025