Dr.N.Mohananthini

@mec.edu.in

Electrical and Electronics Engineering
Muthayammal Engineering College

Dr.N.Mohananthini


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https://researchid.co/mohananthini

EDUCATION

B.E., - Electrical & Electronics - Annai Mathammal Sheela Engg. College, Namakkal
M.E., - Applied Electronics - College of Engineering, Guindy
Ph.D., - Electrical - Annamalai University

RESEARCH INTERESTS

Product Development
21

Scopus Publications

631

Scholar Citations

14

Scholar h-index

18

Scholar i10-index

Scopus Publications

  • A Deep Learning–Enhanced Blockchain Architecture for Intrusion Detection and Classification
    C. Ananth, S. Sathiyarani, N. Mohananthini
    Engineering Technology and Applied Science Research, 2026
    An Intrusion Detection System (IDS) is a significant cybersecurity process that comprises network traffic monitoring for malicious activity and taking appropriate protective actions. However, inadequate training data or inappropriately selected thresholds often restrict the performance of these systems, leading to low detection rates. Blockchain (BC) technology can offer a secure, decentralized, and immutable ledger to monitor suspicious activities over time and classify intrusions globally. Integrating advanced Deep Learning (DL) and BC improves detection and overall security. The decentralized nature of BC eliminates single points of failure. DL can efficiently detect patterns and anomalies, mitigating false alerts, and when integrated with public BC, it ensures secure, transparent, and tamper-proof storage of intrusion data. This study presents a BC-assisted Coati Optimization Algorithm (COA) with DL for Intrusion Detection and Classification (BCOADL-IDC) method, using the BC architecture to ensure data integrity and immutability. Initially, min-max normalization is applied to scale the input data. Then, an Attention-based Bidirectional Recurrent Neural Network (ABiRNN) model is utilized for intrusion detection. COA is used to fine-tune the crucial parameters of the ABiRNN model to improve detection performance. Finally, the integration of BC helps to ensure the integrity of the detection results, prevent tampering, and provide a transparent and secure record of network actions. The comparative study of the BCOADL-IDC approach showed a higher accuracy of 98.79% over existing models on the ToN_IoT dataset.
  • RETRACTION:Enhancing heart disease detection and classification using fuzzy logic and metaheuristic algorithms in a blockchain assisted healthcare environment
    N. Mohananthini, K. Rajeshkumar, C. Ananth
    Journal of Intelligent and Fuzzy Systems, 2024
    Heart disease (HD) is a leading cause of mortality worldwide, emphasizing the need for accurate and efficient detection and classification methods. Recently, Blockchain (BC) provides seamless and secure sharing of heart disease data amongst healthcare providers, specialists, and researchers. This allows collaborative efforts, data exchange, and integration of diverse datasets, leading to a more comprehensive analysis and accurate detection of heart diseases. BC provides a decentralized and tamper-proof platform for storing sensitive patient data related to heart disease. This ensures the integrity and security of the data, reducing the risk of unauthorized access or data manipulation. Therefore, this study presents a new blockchain-assisted heart disease detection and classification model with feature selection with optimal fuzzy logic (BHDDC-FSOFL) technique. The presented BHDDC-FSOFL technique uses BC technology to store healthcare data securely. In addition, the disease detection module encompasses the design of biogeography teaching and learning-based optimization (BTLBO) algorithm for feature selection (FS) procedure. Moreover, an adaptive neuro-fuzzy inference system (ANFIS) classifier can be exploited for HD detection and classification. Furthermore, the ebola search optimization (ESO) algorithm is used for the parameter tuning of the ANFIS classifier. The integration of ANFIS classifier enables the modeling of uncertainty and imprecision in HD data, while metaheuristic algorithms aid in optimizing the classification process. Additionally, the utilization of BC technology ensures secure and transparent storage and sharing of healthcare data. To demonstrate the enhanced HD classification results of the BHDDC-FSOFL technique, a detailed experimental analysis was made on the HD dataset. The extensive result analysis pointed out the improved performance of the BHDDC-FSOFL technique compared to recent approaches in terms of different measures. Therefore, the proposed model offers a reliable and privacy-enhancing solution for healthcare providers and patients in a BC-assisted healthcare environment.
  • Blockchain-based smart and secured scheme for question sharing using bee colony optimization based quantum logistic map encryption
    B. Nagarajan, C. Ananth, N. Mohananthini
    International Journal of Information Technology Singapore, 2023
  • Artificial Bee Colony Optimization with Hybrid Image Encryption with Random Key Driven Share Creation Scheme for Blockchain-Assisted Question Paper Sharing
    Nagarajan B, Ananth C, Mohananthini N
    Ssrg International Journal of Electrical and Electronics Engineering, 2023
    Educational tests and examinations cover massive data sharing to distribute question papers, aptitude tests, answer sheets, and quizzes for new admissions. Question Paper Leaking (QPL) can cause an unreasonable issue during exams. Today, QPL was a severe problem worldwide, from university entrance exams to public exams, and the situation is getting worse in emerging countries. QPL can cause specific rigorous results such as erosion of ethical standards and the education quality being compromised. There is a need for the security of e-learning mechanisms through cryptographic techniques. Blockchain (BC) fulfilled educational valuations and personalized curricula with smart contracts over a public permission BC. It exhibits the potential of this developing technology to enhance various core learning experiences, such as learner privacy, assessments, and curriculum personalization. This study presents an Artificial Bee Colony Optimization with Hybrid Image Encryption with Random Key Driven Share Creation Scheme for Blockchain Assisted Question Paper Sharing (ABCHIE-RKDSC) technique. In the presented ABCHIE-RKDSC model, three main procedures are involved, called share creation, share encryption, and BC-enabled transmission. During the process of share creation, a set of four shares is created for every input image and the random key generation method is performed by a user input equation instead of a conventional random seed function. Next, the generated shares undergo encryption by hybrid Advanced Encryption Standard with the Elliptic Curve Cryptography (AES-ECC) method. Moreover, the key generation process of the AES-ECC method is performed by the use of the ABC algorithm. The proposed ABCHIE-RKDSC technique involves BC technology that enables secure transmission of encrypted QPs. Finally, the share reconstruction and image decryption process take place to retrieve the original QPs. The experimental validation of the ABCHIE-RKDSC algorithm is investigated, and the outputs are evaluated under varied measures. A comprehensive result investigation highlighted the advancement of the ABCHIE-RKDSC method over other methods.
  • Blockchain with Mayfly Optimization-based Chaotic Encryption Model for Smart and Secured Question Paper Sharing
    Nagarajan B, Ananth C, Mohananthini N
    International Journal of Engineering Trends and Technology, 2023
  • Blockchain Assisted Intrusion Detection and Data Classification on Smart Healthcare Management System
    Rajeshkumar K, Ananth C, Mohananthini N
    International Journal of Engineering Trends and Technology, 2023
  • Blockchain-Assisted Homomorphic Encryption Approach for Skin Lesion Diagnosis using Optimal Deep Learning Model
    Kandasamy Rajeshkumar, Chidambaram Ananth, Natarajan Mohananthini
    Engineering Technology and Applied Science Research, 2023
    Blockchain (BC) and Machine learning (ML) technologies have been investigated for potential applications in medicine with reasonable success to date. On the other hand, as accurate and early diagnosis of skin lesion classification is essential to gradually increase the survival rate of the patient, Deep-Learning (DL) and ML technologies were introduced for supporting dermatologists to overcome these challenges. This study designed a Blockchain Assisted Homomorphic Encryption Approach for Skin Lesion Diagnosis using an Optimal Deep Learning (BHESKD-ODL) model. The presented BHESKD-ODL model achieves security and proper classification of skin lesion images using BC to store the medical images of the patients to restrict access to third-party users or intruders. In addition, the BHESKD-ODL method secures the medical images using the mayfly optimization (MFO) algorithm with the Homomorphic Encryption (HE) technique. For skin lesion diagnosis, the proposed BHESKD-ODL method uses pre-processing and the Adam optimizer with a Fully Convolutional Network (FCN) based segmentation process. Furthermore, a radiomics feature extraction with a Bidirectional Recurrent Neural Network (BiRNN) model was employed for skin lesion classification. Finally, the Red Deer Optimization (RDO) algorithm was used for the optimal hyperparameter selection of the BiRNN approach. The experimental results of the BHESKD-ODL system on a benchmark skin dataset proved its promising performance in terms of different measures.
  • Optimal Hybrid Image Encryption with Machine Learning Model for Blockchain-Assisted Secure Skin Lesion Diagnosis
    Rajeshkumar K, Ananth C, Mohananthini N
    International Journal of Engineering Trends and Technology, 2023
  • Renewable operated electrical vehicle battery charging based on fuzzy logic control system
    K. Priyanka, N. Mohananthini, S. Saravanan, S. Saranraj, R. Manikandan
    Aip Conference Proceedings, 2022
    Nowadays the automobile industry is prosperous with the evolution of Electric Vehicle (EV). Battery charging is more concern for the development of electric vehicle. In the distribution system this proposes a communication free charging controller is used in this proposed work, using this controller to find the battery is getting charging or discharging during sunshine. In charging station while using solar energy sometimes of power quality issues will occur and we can rectify that power quality issues in electric vehicle. SEPIC (Single Ended Primary Inductor Converter) converter as well as Bidirectional DC-DC converter used to able of charging the EV battery in sunshine and non sunshine hours. The performances of the proposed method are evaluated through simulations using MATLAB/ simulink software.
  • Secured Different Disciplinaries in Electronic Medical Record based on Watermarking and Consortium Blockchain Technology
    N. Mohananthini, Christo Ananth, M. Y. Mohamed Parvees
    Ksii Transactions on Internet and Information Systems, 2022
    The Electronic Medical Record (EMR) is a valuable source of medical data intelligence in ehealth systems. The watermarking techniques have been used to authenticate the owner and protect the EMR from illegal copying. The existing distributive strategies, successfully operated to secure the EMR, are found to be inadequate. Blockchain technology, mainly, is employed by a sharing database that allows the digital crypto-currency. It rapidly leads to the magnified expectations acme. In this excitement, the use of consortium adopting the technology based on Blockchain, in the EMR structure, is found improving. This type of consortium adds an immutable share with a translucent record of the entire business and it is accomplished with responsibility, along with faith and transparency. The combination of watermarking and Blockchain technology provides a singular chance to promote a secured, trustworthy electronic documents administration to share with the e-records system. The authors, in this article, present their views on consortium Blockchain technology which is incorporated in the EMR system. The ledger, used for the distribution of the block structure, has team healthcare models based on dissimilar multiple image watermarking techniques.
  • Investigation on Mitigation of Power Quality Problems in Utility and Customer side Using Unified Power Quality Conditioner
    Journal of Electrical Systems, 2022
  • Lightweight Image Encryption: A Chaotic ARX Block Cipher
    N. Mohananthini, M. Y. Mohamed Parvees, J. Abdul Samath
    Journal of Circuits Systems and Computers, 2021
  • Using artificial intelligence inverter power control which is based on DC link voltage regulation for IPMSM drives with electrolytic capacitor
    C. Sowmya, N. Mohananthini, S. Saravanan, A. Senthil kumar
    Aip Conference Proceedings, 2020
  • Discrete Wavelet Transform Based Multiple Watermarking for Digital Images Using Back-Propagation Neural Network
    C. Ananth, M. Karthikeyan, N. Mohananthini
    Lecture Notes in Networks and Systems, 2020
  • Multiple watermarking for images using back-propagation neural network and DWT
    C. Ananth, , M. Karthikeyan, N. Mohananthini, S. Saravanan, M. Swathisriranjani, , , , and
    International Journal of Engineering and Advanced Technology, 2019
  • Adaptive and robust multiple image watermarking using canberra distance and dual tree complex wavelet transform
    C Ananth, M Karthikeyan, N Mohananthini, G Yamuna
    Journal of Computational and Theoretical Nanoscience, 2019
  • Optimal placement and sizing of active power line conditioners for minimizing power quality problems
    Swathisriranjani M, Mohananthini K, Ranjitha M, Baskar S, Kavitha D
    Indonesian Journal of Electrical Engineering and Computer Science, 2017
  • Performance optimisation of multiple watermarking using genetic algorithms
    Mohananthini Natarajan, Yamuna Govindarajan
    International Journal of Enterprise Network Management, 2016
  • Multiple image watermarking technique based on hybrid DWT-SVD and artificial neural network
    International Journal of Applied Engineering Research, 2015
  • A study of DWT-SVD based multiple watermarking scheme for medical images
    International Journal of Network Security, 2015
  • Watermarking for images using wavelet domain in Back-Propagation neural network
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Achieving Maximum Ambiguity by Predicting the Unlabelled Instances using Tree
    N Mohananthini, K Abitha, S Bhoomik, S Elakkiya, A Madhanika
    International Journal of Engineering & Extended Technologies Research … , 2026
    2026
  • Hierarchical Clustering for Cancer Discovery using Range Check and Delta Check
    N Mohananthini, M Sanjay, T Sanjay, V Sanjay, S Santhoshkumarn
    International Journal of Engineering & Extended Technologies Research … , 2026
    2026
  • A Deep Learning–Enhanced Blockchain Architecture for Intrusion Detection and Classification
    C Ananth, S Sathiyarani, N Mohananthini
    Engineering, Technology & Applied Science Research 16 (1), 32009-32014 , 2026
    2026
  • AI-DRIVEN SENSITIVITY-AWARE HYBRID CRYPTOGRAPHY FOR SECURE MEDICAL IMAGE TRANSMISSION
    S Kasinathan, C Ananth, N Mohananthini
    ACTA SCIENTIAE, 147-171 , 2025
    2025
  • A Federated Siamese–Autoencoder Framework For Robust ECG-Based Biometric Authentication With Spoof Attack Detection
    S Kasinathan, C Ananth, N Mohananthini
    INTERNATIONAL JOURNAL OF ADVANCES IN SIGNAL AND IMAGE SCIENCES, 319-342 , 2025
    2025
  • RETRACTED: Enhancing heart disease detection and classification using fuzzy logic and metaheuristic algorithms in a blockchain assisted healthcare environment
    N Mohananthini, K Rajeshkumar, C Ananth
    Journal of Intelligent & Fuzzy Systems 46 (2), 5329-5342 , 2024
    2024
    Citations: 2
  • Blockchain-based smart and secured scheme for question sharing using bee colony optimization based quantum logistic map encryption
    B Nagarajan, C Ananth, N Mohananthini
    International Journal of Information Technology 15 (6), 2889-2895 , 2023
    2023
    Citations: 11
  • Blockchain-assisted homomorphic encryption approach for skin lesion diagnosis using optimal deep learning model
    K Rajeshkumar, C Ananth, N Mohananthini
    Engineering, Technology & Applied Science Research 13 (3), 10978-10983 , 2023
    2023
    Citations: 14
  • Portable Solar Tree
    S Abimanyu, P Jagadheeswaran, S Jaganath, K Sanjay, R Sivapranesh, ...
    International Journal of New Innovations in Engineering and Technology 22 (3 … , 2023
    2023
    Citations: 56
  • Smart Crop Protection From Animals And Birds Using Arduino
    S Gokul, B Gokulnath, P Manikandan, S Saravanan, N Mohananthini
    International Journal of New Innovations in Engineering and Technology 22 (3 … , 2023
    2023
    Citations: 25
  • Investigation on Mitigation of Power Quality Problems in Utility and Customer side Using Unified Power Quality Conditioner.
    A Senthilkumar, S Saravanan, N Mohananthini, M Pushparaj
    Journal of Electrical Systems 18 (4) , 2022
    2022
    Citations: 25
  • Renewable operated electrical vehicle battery charging based on fuzzy logic control system
    K Priyanka, N Mohananthini, S Saravanan, S Saranraj, R Manikandan
    AIP Conference Proceedings 2452 (1), 030007 , 2022
    2022
    Citations: 23
  • Secured Different Disciplinaries in Electronic Medical Record based on Watermarking and Consortium Blockchain Technology.
    N Mohananthini, C Ananth, MY Parvees
    KSII Transactions on Internet & Information Systems 16 (3), 947 , 2022
    2022
    Citations: 7
  • Control Systems
    NMMS Dr.S.Saravanan, Dr.M.Madheswaran
    2022
  • Prepaid Energy Meter using GSM
    GNSS V.Aruna, L.Jothika, B.Malathika, N.Mohananthini
    International Journal of Innovative Research in Science, Engineering and … , 2022
    2022
  • Lightweight image encryption: a chaotic ARX block cipher
    N Mohananthini, MY Mohamed Parvees, J Abdul Samath
    Journal of Circuits, Systems and Computers 30 (02), 2150026 , 2021
    2021
    Citations: 8
  • A protected primary care in the healthcare system using private blockchain technology
    DCADN Mohananthini
    Contemporary Skills in Data Processing , 2021
    2021
  • A study of Renewable Energy in Smart Grid Technology
    SS S.Umamaheswari, M.Thilagavathi, S.Sivaranjani, N. Mohananthini, M.Selvakumari
    International Journal of Engineering Technology Research & Management 10 (9 … , 2021
    2021
  • Wireless Communication System based Automatic EB Billing and Disconnection Schemes
    SS S.Prem Kumar, M.Rubeshan, V.Surya Prakash, N.Mohananthini
    International Journal of Innovative Research in Science, Engineering and … , 2021
    2021
  • Solar Powered Highway Dust Cleaner
    SS S.Ashok, R.Mohanraj, K.Nandhini, P.Prakash, S.Saranraj, M ...
    International Journal of Advanced Research in Electrical, Electronics and … , 2021
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • Study of Poultry Fodder Passing Through Trolley in Feeder Box
    G Poovarasan, S Susikumar, S Naveen, N Mohananthini, S Saravanan
    International Journal of Engineering Technology Research & Management 4 (1 … , 2020
    2020
    Citations: 66
  • Comparison of multiple watermarking techniques using genetic algorithms
    N Mohananthini, G Yamuna
    Journal of Electrical Systems and Information Technology 3 (1), 68-80 , 2016
    2016
    Citations: 64
  • Implementation of IoT Based Poultry Feeder Box
    NMSS G. Poovarasan, S. Susikumar, S. Naveen
    International Journal of Innovative Research in Technology 6 (12), 33-38 , 2020
    2020
    Citations: 58
  • Portable Solar Tree
    S Abimanyu, P Jagadheeswaran, S Jaganath, K Sanjay, R Sivapranesh, ...
    International Journal of New Innovations in Engineering and Technology 22 (3 … , 2023
    2023
    Citations: 56
  • Optimal Scheduling of Solar Wind Bio-Mass Systems and Evaluating the Demand Response Impacts on Effective Load Carrying Capability
    K Manikanth, P Manikandan, V Dhinesh, DN Mohananthini, ...
    International Research Journal of Engineering and Technology 7 (2), 1632-1637 , 2020
    2020
    Citations: 39
  • Inverter Power Control Based On DC-Link Voltage Regulation for IPMSM Drives using ANN
    C Sowmiya, N Mohananthini, S Saravanan, M Ranjitha
    International Research Journal of Engineering and Technology (IRJET) 5 (11 … , 2018
    2018
    Citations: 38
  • Using artificial intelligence inverter power control which is based on DC link voltage regulation for IPMSM drives with electrolytic capacitor
    C Sowmya, N Mohananthini, S Saravanan, A Senthil kumar
    AIP conference Proceedings 2207 (1), 050001 , 2020
    2020
    Citations: 36
  • Design and Implementation of Battery Management System for Electric Vehicle Charging Station
    V Deepika, S Saravanan, N Mohananthini, G Dineshkumar, S Saranraj, ...
    Annals of the Romanian Society for Cell Biology 25 (6), 17769-17774 , 2021
    2021
    Citations: 27
  • Smart Crop Protection From Animals And Birds Using Arduino
    S Gokul, B Gokulnath, P Manikandan, S Saravanan, N Mohananthini
    International Journal of New Innovations in Engineering and Technology 22 (3 … , 2023
    2023
    Citations: 25
  • Investigation on Mitigation of Power Quality Problems in Utility and Customer side Using Unified Power Quality Conditioner.
    A Senthilkumar, S Saravanan, N Mohananthini, M Pushparaj
    Journal of Electrical Systems 18 (4) , 2022
    2022
    Citations: 25
  • Renewable operated electrical vehicle battery charging based on fuzzy logic control system
    K Priyanka, N Mohananthini, S Saravanan, S Saranraj, R Manikandan
    AIP Conference Proceedings 2452 (1), 030007 , 2022
    2022
    Citations: 23
  • A secured healthcare system using private blockchain technology
    C Ananth, M Karthikeyan, N Mohananthini
    J. Eng. Technol 6 (2), 42-54 , 2018
    2018
    Citations: 22
  • Performance comparison of single and multiple watermarking techniques
    M Natarajan, Y Govindarajan
    International Journal of Computer Network and Information Security 6 (7), 28-34 , 2014
    2014
    Citations: 19
  • A study of DWT-SVD based multiple watermarking scheme for medical images.
    N Mohananthini, G Yamuna
    Int. J. Netw. Secur. 17 (5), 558-568 , 2015
    2015
    Citations: 17
  • Blockchain-assisted homomorphic encryption approach for skin lesion diagnosis using optimal deep learning model
    K Rajeshkumar, C Ananth, N Mohananthini
    Engineering, Technology & Applied Science Research 13 (3), 10978-10983 , 2023
    2023
    Citations: 14
  • Blockchain-based smart and secured scheme for question sharing using bee colony optimization based quantum logistic map encryption
    B Nagarajan, C Ananth, N Mohananthini
    International Journal of Information Technology 15 (6), 2889-2895 , 2023
    2023
    Citations: 11
  • Home Water Leakage Detection and Monitoring System Using IOT
    SS Vijayakumar.T , Ramachandran.T, Vigneshkumar.M , N.Mohananthini
    Journal of Network Communications and Emerging Technologies 9 (4), 5-10 , 2019
    2019
    Citations: 10
  • Watermarking for images using wavelet domain in Back-Propagation neural network
    N Mohananthini, G Yamuna
    IEEE-International Conference On Advances In Engineering, Science And … , 2012
    2012
    Citations: 10
  • Voice Based Digital Notice Board Using WIFI
    P Sakthieswaran, P Sanothkumar, R Rajesh, P Sathish, DN Mohananthini, ...
    International Journal of Innovative Research In Technology 6 (11), 229-235 , 2020
    2020
    Citations: 9
  • Lightweight image encryption: a chaotic ARX block cipher
    N Mohananthini, MY Mohamed Parvees, J Abdul Samath
    Journal of Circuits, Systems and Computers 30 (02), 2150026 , 2021
    2021
    Citations: 8