PRABAKARAN D

@ifet.ac.in

ASSOCIATE PROFESSOR, DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
IFET COLLEGE OF ENGINEERING, VILLUPURAM

PRABAKARAN D


               Download Compact PDF  
https://researchid.co/prabakaran
B.E. in ECE
M.Tech in Applied Electronics
Ph.D. pursuing in Network Security
Published more than 10 research articles in SCI, Scopus indexed journals.

EDUCATION

B.E. in ECE
M.Tech in Applied Electronics
Ph.D. pursuing in Network Security

RESEARCH INTERESTS

Network Security, Cloud computing, Antenna

FUTURE PROJECTS

CLOUD COMPUTING SECURITY

TO ENHANCE SECURITY IN CLOUD COMPUTING AND ITS SERVICES


Applications Invited
18

Scopus Publications

378

Scholar Citations

10

Scholar h-index

11

Scholar i10-index

Scopus Publications

  • Secure Protocols and Blockchain-Based Iot for Smart Home Applications
    R. Senthil Kumaran, D. Prabakaran, R. Shyamala, S. Hannah Pauline
    Secure Blockchain and Quantum Technologies for 6g Enabled Internet of Things, 2026
  • Blockchain-powered DeFi: Transforming Water Project Financing for a Sustainable Future
    R. SHYAMALA, D. PRABAKARAN, C. DHAYA, S. Chaarumathi, Uma PERUMAL, et al.
    Blockchain and the Water Supply Chain Opportunities Challenges and Innovations, 2025
  • DeepSecurePay: A Hybrid LSTM-Based Model with Multi-Factor Authentication for Real-Time Fraud Prevention
    Prabakaran. D, Lisa. A
    International Conference on Software Systems and Information Technology Ssitcon 2025, 2025
  • A fuzzy based efficient and blockchain oriented secured routing vehicular Ad-Hoc networks
    Iranian Journal of Fuzzy Systems, 2024
  • A Novel Deep Reinforcement Learning (DRL) Method for Detecting Evasion Attack in Iot Environment
    Shyamala Ramachandran, Prabakaran D
    2nd International Conference on Integrated Circuits and Communication Systems Icicacs 2024, 2024
    The growing prevalence of Internet of Things (IoT) devices being connected to the internet has resulted in an increase in security concerns, particularly concerning evasion attacks. Reinforcement learning is a category of machine learning in which an agent is taught to make decisions within an environment to maximize a reward signal. In this context, the agent is educated to differentiate network traffic data as either normal or evasive. An evasion attack falls into the category of adversarial attacks, where the attacker seeks to elude detection by exploiting vulnerabilities within the system. This research introduces a novel deep reinforcement learning method for identifying evasion attacks in IoT devices. The proposed design incorporates a neural network and a combination of machine learning classifiers to analyze network traffic data. The features has been extracted using Wireshark, and these features are then utilized as input for a reinforcement learning agent. This agent is trained to distinguish between normal and evasive traffic by combining the outputs of five different classifiers. To train our model, we use two publicly available datasets—one containing benign data and the other containing malicious data. The performance of our approach is evaluated using real-time data, and the results demonstrate that our proposed method surpasses other techniques in terms of accuracy, precision, recall, and F1-score. In conclusion, our deep reinforcement learning approach offers an effective means of detecting and mitigating the risks associated with evasion attacks on IoT devices.
  • A Secure Multi-Factor Authentication System Using ElGamal Bakers Map Function in Virtual Private Network
    Prabakaran. D, Praveena N.G, Beulah Jackson, S. Varalakshmi, G.Uma Maheswari
    3rd IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics Icdcece 2024, 2024
    Virtual Private Network (VPN) is the emerging technology facilitates the secure cloud connectivity and remote access, motivates the migration of physical resource of IT applications to the virtual resource. Despite of tremendous applications of virtual private network, the security remains as a major concern, and is highly prune to the varieties of attacks. The existing works attempts to address the security concern, resulting in unchanged status of the security in terms of enhancement. To overcome this concern, this manuscript introduces a Multi-Factor Authentication (MFA) using the low entropy password along with the graphical password authentication system. The security of the graphical password is enhanced using the novel ElGamal bakers map function to and a cipher graphical is generated to communicate over the insecure network. The proposed work is treated under various attack analysis using black box testing process and the robustness is measured.
  • Novel Hybrid Deep Convolutional and Cycle Generative Adversarial Networks for efficient Image Restoration
    Prabakaran D, Praveena N G, Samuda Prathima, Beulah Jackson, Uma Maheswari, et al.
    3rd International Conference on Advances in Computing Communication and Materials Icaccm 2024, 2024
    Image Restoration is the vital process in image based analysis, as it enhances the quality of the image and assists in achieving a better level of accuracy in the classification process. The image restoration is performed by mitigating the artifacts in the input image, so that the restored images will be rich in quality with an enhanced level of perception, and provides a pushover for classification process. The existing methods of image restoration techniques experiences a major setback of lack of robustness in handling the complex degradation of the input image and falls back in dealing in denoising and deblurring process. To overcome these challenges, this manuscript introduces a novel integrated version of Deep Convolution Generative Adversary Network (DCGAN) and Cycle GAN (CGAN) to perform efficient image restoration artifacts removal process. The proposed work is tested for its denoising and deblurring capability along with the capacity of handling the complex degradations in the input image. The proposed work is tested with various types of input images added with noise and blurring effects and the performance is compared with the state of the art image restoration techniques.
  • A Deep Learning-Based Convolution Neural Networks to Forecast Wind Energy
    S. Kannan, Prabakaran. D, Dhenesh Kumar. S, Sivaram. S
    Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
    The demand for power is increasing daily due to an increase in industrial and household energy requirements and consumption. The non-renewable energy generation is considered to be dirty power as it requires oil, gas, coal and reactive substance like uranium for power generation. The non-renewable power generation pollutes the environment and is considered to be more harmful to people making the government and researchers to concentrate on the renewable method of power generation. Wind energy can be harvested round the clock as the wind will be available all time than the availability of sunlight which controls solar power. This paper proposed a novel deep learning-based convolution neural networks (CNN) for forecasting wind power generation one day ahead. The forecasting efficiency is compared with the benchmarking methodologies of Machine learning algorithms and the Root Mean Square Error (RMSE) of the proposed method is determined to be 0.629 which is considered to be efficient for the wind power generation process.
  • Privacy and security of smart systems
    K. Suresh Kumar, D. Prabakaran, R. Senthil Kumaran, I. Yamuna
    Intelligent Green Technologies for Sustainable Smart Cities, 2022
  • Design of H-Shaped Antenna for Multiband Applications
    P Harineeshwari., D Prabakaran.
    IEEE International Conference on Data Science and Information System Icdsis 2022, 2022
    A wireless devices has an consecutive generation renovation to provide a higher and impressive service. The current 5G generation is the only one with the ability and power to communicate at extremely high speeds. Because they are now required for reliable 5G Wi-Fi connectivity, wide-band antennas with high gain have displaced traditional narrow bandwidth antennas with low gain. The next era, 6G, is projected to assist a large number of information site visitors in managing the increase in connection of Wi-Fi device. As a result, a significant amount of bandwidth will be aimed, and a greater benefit will be required. In order to satisfy the demand of information quotes and bandwidth utilization of conversation systems, maximum of the research studies results in the invent of new designs that fulfill the necessities of the future era verbal exchange. In this paper H-Shaped antenna that contains microstrip feed line is proposed. Among various substrates Polyimide dielectric substrate provides improved performance. The loss tangent and relative permittivity of the polyimide substrate are 3.5 and 0.0027, respectively. Computer software technology (CST) software is used to model the proposed system. The suggested H-shape antenna is shown, together with simulated results for gain, VSWR, return loss, directivity, and radiation pattern.
  • A Web Application Based Administration Panel For Handyman Services
    Gayathri Baskaran, K Saundariya, D Prabakaran, R Senthilkumaran
    2022 IEEE Delhi Section Conference Delcon 2022, 2022
  • Webapp service for booking handyman using MongoDB, express JS, React JS, node JS
    K Saundariya, M Abirami, Kumaran R Senthil, D Prabakaran, B Srimathi, et al.
    2021 3rd International Conference on Signal Processing and Communication Icpsc 2021, 2021
  • Speech processing: MFCC based feature extraction techniques - An investigation
    D. Prabakaran, S. Sriuppili
    Journal of Physics Conference Series, 2021
  • Multi-factor authentication for secured financial transactions in cloud environment
    D. Prabakaran, Shyamala Ramachandran
    Computers Materials and Continua, 2021
  • Secure Key Generation from Speech signal Using Enhanced MFCC Algorithm
    Prabakaran. D, Shyamala Ramachandran
    2021 IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2021, 2021
  • A Strong Authentication for Fortifying Wireless Healthcare Sensor Network Using Elliptical Curve Cryptography
    Prabakaran D, Sheela K
    2021 IEEE Mysore Sub Section International Conference Mysurucon 2021, 2021
  • A review on methodologies and performance analysis of device identity masking techniques
    International Journal of Scientific and Technology Research, 2019
  • A Review on Performance of Voice Feature Extraction Techniques
    D. Prabakaran, R. Shyamala
    2019 Proceedings of the 3rd International Conference on Computing and Communications Technologies Iccct 2019, 2019

RECENT SCHOLAR PUBLICATIONS

  • Secure Protocols and Blockchain‐Based Iot for Smart Home Applications
    R Senthil Kumaran, D Prabakaran, R Shyamala, SH Pauline
    Secure Blockchain and Quantum Technologies for 6G‐Enabled Internet of Things … , 2026
    2026
  • Implementation and Accuracy Analysis of IEEE 754 Floating-Point Representation in Digital Computation
    NG Praveena, D Prabakaran, K Selvaraj, S Dinesh, P Charvi Sankar
    2026 6th International Conference on Trends in Material Science and … , 2026
    2026
  • DeepSecurePay: A Hybrid LSTM-Based Model with Multi-Factor Authentication for Real-Time Fraud Prevention
    LA Prabakaran D
    2025 2nd International Conference on Software, Systems and Information … , 2026
    2026
  • Blockchain‐powered DeFi: Transforming Water Project Financing for a Sustainable Future
    R SHYAMALA, D PRABAKARAN, C DHAYA, S Chaarumathi, ...
    Blockchain and the Water Supply Chain: Opportunities, Challenges and … , 2025
    2025
  • 14 A Novel African Wild Dog Optimization (AWDO) Algorithm for Applications of Artificial Intelligence
    D Prabakaran, R Senthil Kumaran, R Shyamala
    Math Optimization for Artificial Intelligence: Heuristic and Metaheuristic … , 2025
    2025
    Citations: 1
  • A fuzzy based efficient and blockchain oriented secured routing in vehicular Ad-Hoc networks
    NG Praveena, S S Nath
    Iranian Journal of Fuzzy Systems 21 (6), 15-31 , 2024
    2024
    Citations: 6
  • Novel Hybrid Deep Convolutional and Cycle Generative Adversarial Networks for efficient Image Restoration
    D Prabakaran, NG Praveena, SN Srigitha
    2024 International Conference on Advances in Computing, Communication and … , 2024
    2024
    Citations: 2
  • A secure multi-factor authentication system using elgamal bakers map function in virtual private network
    NG Praveena, B Jackson, S Varalakshmi, GU Maheswari
    2024 Third International Conference on Distributed Computing and Electrical … , 2024
    2024
    Citations: 5
  • A novel deep reinforcement learning (DRL) method for detecting evasion attack in IoT environment
    S Ramachandran, D Prabakaran
    2024 International Conference on Integrated Circuits and Communication … , 2024
    2024
    Citations: 7
  • A Deep Learning-Based Convolution Neural Networks to Forecast Wind Energy
    S Kannan, P D
    2023 International Conference on Recent Trends in Electronics and … , 2023
    2023
    Citations: 17
  • Privacy and security of smart systems
    K Suresh Kumar, D Prabakaran, R Senthil Kumaran, I Yamuna
    Intelligent Green Technologies for sustainable smart cities, 291-315 , 2022
    2022
    Citations: 7
  • Design of h-shaped antenna for multiband applications
    P Harineeshwari, D Prabakaran
    2022 IEEE International Conference on Data Science and Information System … , 2022
    2022
    Citations: 6
  • Secure channel for financial transactions in cloud environment using blockchain technology
    D Prabakaran, S Ramachandran
    2022
    Citations: 10
  • A web application based administration panel for handyman services
    G Baskaran, K Saundariya, D Prabakaran, R Senthilkumaran
    2022 IEEE Delhi Section Conference (DELCON), 1-5 , 2022
    2022
    Citations: 9
  • Security and Privacy Provocation of Data in Cloud Computing
    D Prabakaran, KS Kumar, RS Kumaran
    Privacy and Security Challenges in Cloud Computing, 35-58 , 2022
    2022
    Citations: 1
  • Multi-Factor Authentication for Secured Financial Transactions in Cloud Environment.
    D Prabakaran, S Ramachandran
    Computers, Materials & Continua 70 (1) , 2022
    2022
    Citations: 71
  • Secure Key Generation from Speech signal Using Enhanced MFCC Algorithm
    S Ramachandran
    2021 IEEE International Conference on Mobile Networks and Wireless … , 2021
    2021
    Citations: 2
  • A strong authentication for fortifying wireless healthcare sensor network using elliptical curve cryptography
    D Prabakaran, K Sheela
    2021 IEEE Mysore Sub Section International Conference (MysuruCon), 249-254 , 2021
    2021
    Citations: 10
  • Webapp service for booking handyman using mongodb, express JS, react JS, node JS
    K Saundariya, M Abirami, KR Senthil, D Prabakaran, B Srimathi, ...
    2021 3rd International Conference on Signal Processing and Communication … , 2021
    2021
    Citations: 37
  • Software-defined network (SDN) architecture and security considerations for 5G communications
    D Prabakaran, SM Nizar, KS Kumar
    Design methodologies and tools for 5G network development and application, 28-43 , 2021
    2021
    Citations: 16

MOST CITED SCHOLAR PUBLICATIONS

  • Speech processing: MFCC based feature extraction techniques-an investigation
    D Prabakaran, S Sriuppili
    Journal of Physics: Conference Series 1717 (1), 012009 , 2021
    2021
    Citations: 74
  • Multi-Factor Authentication for Secured Financial Transactions in Cloud Environment.
    D Prabakaran, S Ramachandran
    Computers, Materials & Continua 70 (1) , 2022
    2022
    Citations: 71
  • A Review on Performance of Voice Feature Extraction Techniques
    DRS D.Prabakaran
    2019 3rd International Conference on Computing and Communications … , 2019
    2019
    Citations: 53
  • Webapp service for booking handyman using mongodb, express JS, react JS, node JS
    K Saundariya, M Abirami, KR Senthil, D Prabakaran, B Srimathi, ...
    2021 3rd International Conference on Signal Processing and Communication … , 2021
    2021
    Citations: 37
  • A Deep Learning-Based Convolution Neural Networks to Forecast Wind Energy
    S Kannan, P D
    2023 International Conference on Recent Trends in Electronics and … , 2023
    2023
    Citations: 17
  • A Survey on security issues and solutions in Virtual private network
    DR Shyamala, P D
    International Journal of Pure and Applied Mathematics 119 (14), 1183-1192 , 2018
    2018
    Citations: 17
  • Software-defined network (SDN) architecture and security considerations for 5G communications
    D Prabakaran, SM Nizar, KS Kumar
    Design methodologies and tools for 5G network development and application, 28-43 , 2021
    2021
    Citations: 16
  • A review on methodologies and performance analysis of device identity masking techniques
    D Prabakaran, H Sathyapriya
    International Journal of Scientific & Technology Research 8 (12), 2018-2022 , 2019
    2019
    Citations: 11
  • A Patch Array Antenna for 5G Mobile Phone Applications
    PD Annalakshmi E
    Asian Journal of Applied Science and Technology (AJAST) 1 (3) , 2017
    2017
    Citations: 11
  • Secure channel for financial transactions in cloud environment using blockchain technology
    D Prabakaran, S Ramachandran
    2022
    Citations: 10
  • A strong authentication for fortifying wireless healthcare sensor network using elliptical curve cryptography
    D Prabakaran, K Sheela
    2021 IEEE Mysore Sub Section International Conference (MysuruCon), 249-254 , 2021
    2021
    Citations: 10
  • A web application based administration panel for handyman services
    G Baskaran, K Saundariya, D Prabakaran, R Senthilkumaran
    2022 IEEE Delhi Section Conference (DELCON), 1-5 , 2022
    2022
    Citations: 9
  • A novel deep reinforcement learning (DRL) method for detecting evasion attack in IoT environment
    S Ramachandran, D Prabakaran
    2024 International Conference on Integrated Circuits and Communication … , 2024
    2024
    Citations: 7
  • Privacy and security of smart systems
    K Suresh Kumar, D Prabakaran, R Senthil Kumaran, I Yamuna
    Intelligent Green Technologies for sustainable smart cities, 291-315 , 2022
    2022
    Citations: 7
  • A fuzzy based efficient and blockchain oriented secured routing in vehicular Ad-Hoc networks
    NG Praveena, S S Nath
    Iranian Journal of Fuzzy Systems 21 (6), 15-31 , 2024
    2024
    Citations: 6
  • Design of h-shaped antenna for multiband applications
    P Harineeshwari, D Prabakaran
    2022 IEEE International Conference on Data Science and Information System … , 2022
    2022
    Citations: 6
  • A secure multi-factor authentication system using elgamal bakers map function in virtual private network
    NG Praveena, B Jackson, S Varalakshmi, GU Maheswari
    2024 Third International Conference on Distributed Computing and Electrical … , 2024
    2024
    Citations: 5
  • Novel Hybrid Deep Convolutional and Cycle Generative Adversarial Networks for efficient Image Restoration
    D Prabakaran, NG Praveena, SN Srigitha
    2024 International Conference on Advances in Computing, Communication and … , 2024
    2024
    Citations: 2
  • Secure Key Generation from Speech signal Using Enhanced MFCC Algorithm
    S Ramachandran
    2021 IEEE International Conference on Mobile Networks and Wireless … , 2021
    2021
    Citations: 2
  • City Air Pollution Tracker
    Ramyadevi, P D
    International Journal of Pure and Applied Mathematics 119 (14), 1063-1068 , 2018
    2018
    Citations: 2