VIGNESH VENKATARAMAN

@kce.ac.in

ASSOCIATE PROFESSOR AND DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING(CYBER SECURITY)/FACULTY
KARPAGAM COLLEGE OF ENGINEERING

VIGNESH VENKATARAMAN


                  Download Compact PDF  
https://researchid.co/venkatvignesh

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Computer Science, Computer Graphics and Computer-Aided Design, Computer Engineering
14

Scopus Publications

42

Scholar Citations

4

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • ARFO-HBA: An Adaptive Red Fox Optimization Framework with Heap-Based Bucketization for Privacy-Preserving Data Publishing
    S. Harihara Gopalan, V. Vignesh, D. Sivaganesan, S. S. Sivaraju
    SN Computer Science, 2026
  • Quantitative Detection and Over-limit Identification of Sesamol, Octyl Gallate and Ferulic Acid in Soybean Oil Using AgNP-based SERS and Supervised Learning Algorithms
    M Gomathy, A Vijaya Lakshmi, M Prabu, V Vignesh, N Nirmal Singh, A Jose Anand
    Journal of Environmental Nanotechnology, 2026
    The excessive or uncontrolled addition of synthetic and natural antioxidants in edible oils raises increasing food safety concerns and necessitates rapid and sensitive detection techniques. In this study, a surface-enhanced Raman spectroscopy (SERS) platform integrated with machine learning algorithms was developed for the detection and discrimination of sesamol (SM), octyl gallate (OG), and ferulic acid (FA) in soybean oil. Silver nanoparticles (AgNPs) with an average size of 15–20 nm were synthesized using a citrate reduction method and employed as SERS substrates. The synthesized AgNPs exhibited a strong surface plasmon resonance peak at 528 nm, a high enhancement factor of 4.4 × 10⁵, and good reproducibility, with a relative standard deviation (RSD) of 8.17%. Quantitative analysis showed a strong linear relationship between SERS peak intensity and antioxidant concentration in the range of 50–400 mg/kg, with correlation coefficients of 0.9383 (SM), 0.9761 (OG), and 0.9607 (FA). The limits of detection were 9.711 mg/kg for SM, 8.107 mg/kg for OG, and 7.345 mg/kg for FA. To further enhance identification accuracy, several supervised machine learning models, including support vector machine (SVM), random forest (RF), and k-nearest neighbors (KNN), were applied to classify SERS spectral data. Among these models, SVM achieved the best classification performance with an accuracy of 97.11%, while over-limit detection at 200 mg/kg showed an overall accuracy greater than 93%, including 100% prediction accuracy for FA and SM samples. The integration of SERS with machine learning provides a rapid, sensitive, and reliable analytical strategy for food safety monitoring and quality control of antioxidants in edible oils, demonstrating strong potential for real-time regulatory screening applications.
  • Preserving Mental Health Data Privacy Using Federated Learning and Homomorphic Encryption
    T. Abhay Kiran, G. Deva Nandhan, D. Sreehari, V. Vignesh, R. Vishnu, M. P. Swapna
    Communications in Computer and Information Science, 2026
  • Fuzzified swarm intelligence framework using FPSOR algorithm for high-speed MANET- Internet of Things (IoT)
    S. Harihara Gopalan, V. Vignesh, D. Udaya Suriya Rajkumar, A.K. Velmurugan, D. Deepa, R. Dhanapal
    Measurement Sensors, 2024
    Internet of things (IoT) is an inventive technology which permit the association of physical things by means of the digital world throughout the use of heterogeneous networks and communication technologies. Ad-hoc routing protocols may be dispersed and involve every node in route discovery process by making routing data more reliable. Mobile-Adhoc-Networks (MANETs) consist of many portable nodes that can commune directly with each other or through intermediate nodes. Repeatedly, nodes in a MANETs operate with batteries and can roam freely, and thus, a node may exhaust its energy or move away without providing any notice to its cooperative nodes. IoT system using a combination of MANET, a route consists of numerous links in sequence, and so, its lifetime is based on the lifetime of every node and also the wireless links among adjacent nodes. In this research work Fuzzified Particle Swarm Optimization oriented Routing (FPSOR) algorithm is planned to minimize data loss and computational overhead, which in turn maximizes the lifetime of MANETs. Particle Swarm Optimization oriented Routing protocol (PSOR) have taken energy competence as significant criterion for processing routing and driving optimized path for the data accelerating and processing to the source node. The PSOR produces a fresh route for routing by considering fitness value of energy to evaluate diverse path and to choose best-optimized path whose energy consumption is less as compared to ant colony optimization routing paths. This algorithm utilizes a good approach focusing energy levels/status of the nodes through fuzzification and the lengths of the routed ways. NS2 simulator is casted for performance evaluation.
  • Resource Allocation and Energy Efficient Dynamic Particle Swarm Optimisation in Heterogeneous Wireless Communication Networks
    Anuradha Bhalerao Pawar, G. Kannan, T. Anuradha, Vignesh V, R. Kesavan, Jose Anand A
    2024 4th Asian Conference on Innovation in Technology Asiancon 2024, 2024
    This paper investigates the difficult of beam policy in a multi-user peer-to-peer web linkage setting as part of our research. Using a network simulator, the dynamic particle swarm optimization is suggested for this. The challenge is to limit the maximum power consumption per relay, according to minimal Signal to Noise Ratio (SNR) guarantees, after a complete Channel State Information (CSI) is established. It has been established that the non-convex problem satisfies a potent duality. The twofold problem with the highest polynomial complexity was given as Semi Definite Programming (SDP). On the basis of the standards of the optimal dual variables, we looked at the best beam forming vectors for the initial problems in 3 different scenarios. This demonstrated whether the minimum Signal-to-Noise Ratio (SNR) prerequisite for each S-D pair has been met as well as whether a relay's electricity consumption varies among relays.
  • CLOUD load balancing for storing the internet of things using deep load balancer with enhanced security
    K. Dhana Sree Devi, D. Sumathi, V Vignesh, Chunduru Anilkumar, Kirankumar Kataraki, S. Balakrishnan
    Measurement Sensors, 2023
    The traditional load balancing some disadvantages are (1) reduction in the wait times, (2) Storing encrypted data in a location is difficult. To solve this issues proposed work introduced a Deep Load Balancer (DLB) use of cloud load balancing for storing the Internet of Things (IoT). The work analyzed the drawbacks of traditional load balancing algorithms and proposes the use of DLB as an improved approach for balancing the load of IoT devices in a cloud environment. Proposed DLB strategy is the process of following steps are (i) normalizing and standardizing the attributes of the resources that are being managed. This step involves (ii) Allocating and optimizing constrained resources using a DLB. (iii) Succeeding in minimizing delay. The advantages of DLB for IoT storage are scalability, cost efficiency, and security is effectively discussed. Finally, DLB approach is which leverages the large amounts of data generated by IoT devices. Furthermore, a deep learning model is proposed for predicting the load balancing efficiency of DLB in a cloud environment. Finally, the experimental results are analyzed and the implications of the proposed approach are clearly discussed. The performance evaluation metrics are Response Time (RT), Makespan (MS), Associated Overhead (AO) and Migration Time (MT) of the proposed work DLB compared with existing techniques are TA, ESCE and TA + ESCE. The results demonstrated that DLB is a promising technique for cloud load balancing of IoT devices.
  • Deep Learning Approaches for Intrusion Detection with Emerging Cybersecurity Challenges
    S. Hemalatha, M. Mahalakshmi, V. Vignesh, M. Geethalakshmi, D. Balasubramanian, Jose Anand A.
    International Conference on Sustainable Communication Networks and Application Icscna 2023 Proceedings, 2023
    Intrusion Detection Systems (IDS) play a pivotal role in preventing computer networks from an ever-evolving landscape of cybersecurity threats. As cyberattacks become increasingly sophisticated and diversified, the need for robust and adaptable intrusion detection models has never been more critical. This study explores the application of Deep Neural Networks (DNNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) in the context of intrusion detection, particularly in addressing emerging cybersecurity challenges. The performance of deep learning (DL)-based IDSs is highly dependent on the dataset used and no benchmark models for intrusion detection have been found. In this work, a recent dataset CIC-DDoS-2019 is used for the detection of DDOS (distributed deny of services). This work underscores the importance of adopting DL techniques, including DNNs, CNNs, and RNNs, for intrusion detection in the face of emerging cybersecurity challenges. It highlights the potential of these neural network architectures to enhance network security, adapt to evolving threats, and mitigate the risks posed by modern cyber adversaries. Moreover, it encourages further research and development in this field to stay ahead of the ever-changing cybersecurity landscape.
  • Cost-Effective Integration and Deployment of Enterprise Application Using Azure Cloud Devops
    S Srithar, E Vetrimani, V. Vignesh, M.S Ulaganathan, B.Rajesh Kumar, S. Alagumuthukrishnan
    2022 International Conference on Computer Communication and Informatics Iccci 2022, 2022
    Nowadays to deliver any enterprise application into the market the functionality of the application is tested over the automated environment. The application is developed using different software development life cycle approaches like waterfall and agile. The traditional development tool needs a lot of manual intervention and manpower which is a time-consuming process. In the case of agile, the trail deployment build happens once which is difficult to fix and rectify the bugs. To improve the quality and the speed of development DevOps came into a picture that can build and deploy the application at stages. To do the continuous integration and delivery the automation tools like Jenkins, bamboo, and Travis CI are available in the market. The proposed approach utilizes the azure cloud DevOps along with the feature of Jenkins for continuous integration and deployment. The application is built and can be auto-configured in a cloud platform which greatly improves the build and deployment speed. The parallel and continuous integration adopts the dynamic changes effectively using the automation tools.
  • Retraction: A Quantum-Based Blockchain Approach to Voting Protocol Using Hyperledger Sawtooth
    V Vignesh, S Harihara Gopalan, M Mohan, R S Ramya, R Ananthakumar
    Journal of Physics Conference Series, 2021
    Protection measures are essential to present day blockchain innovation ever, since they can exist short of empowered outsider, which implies that there may not be a disclosed trustworthy individual or group responsible for frameworks. Security of the present frameworks depends on estimating the firmness assumptions and large numbers of the benchmark cryptographic functions proven to be powerless for crucial monetary and a variety of applications against the approach of undeniable quantum machines. Upgrading blockchain innovation with the future of quantum states in a shared manner will enhance the degree of protection and security by-laws of physical science, which is never feasible from non-quantum data hypothetical perspectives. In this article, we propose a quantum-built way to deal with harness of security for a democratic application with the execution, utilizing Hyperledger Sawtooth.
  • Optimal route path sustainability in military information system with reduced interference effect
    V. Vignesh, K. Premalatha
    Journal of Supercomputing, 2019
  • Multi path interference aware reliable route path establishment in mobile adhoc network environment
    V. Vignesh, K. Premalatha
    Cluster Computing, 2019
  • Channel load based interference-aware scheduling in military communication environment
    V. Vignesh, K. Premalatha
    Concurrency and Computation Practice and Experience, 2019
  • Enhancing the practices established under CNN for trailing images in social network
    Preethi T, Ramya R.S, Vignesh V
    Journal of Advanced Research in Dynamical and Control Systems, 2019
  • Multi-QoS and interference concerned reliable routing in military information system
    V. Vignesh, K. Premalatha
    Advances in Intelligent Systems and Computing, 2018

RECENT SCHOLAR PUBLICATIONS

  • Deep Learning–Assisted Chaotic Optical Communication With Adaptive Nonlinearity Compensation
    V Vignesh, P Prabu, S Padmavathy, K Premalatha
    International Journal of Communication Systems 39 (7), e70470 , 2026
    2026
  • Fuzzified swarm intelligence framework using FPSOR algorithm for high-speed MANET-Internet of Things (IoT)
    SH Gopalan, V Vignesh, DUS Rajkumar, AK Velmurugan, D Deepa, ...
    Measurement: Sensors 31, 101000 , 2024
    2024
    Citations: 11
  • Interference Aware Routing in Dynamic Mobile Adhoc Network With the Concern of Qos Factors in Military Information System
    V Vignesh, AA Elngar, H Gopalan
    2022
  • Dynamic clinical trials management in anunreliable environment using blockchain
    SH Gopalan, V Vignesh, N Mahendran, M Dinesh
    Design Engineering (London) 5, 817-822 , 2021
    2021
    Citations: 7
  • A quantum-based blockchain approach to voting protocol using hyperledger sawtooth
    V Vignesh, SH Gopalan, M Mohan, RS Ramya, R Ananthakumar
    Journal of Physics: Conference Series 1916 (1), 012088 , 2021
    2021
    Citations: 10
  • Certain investigation on IOT based smart pill carafe in health care
    Vignesh, SH Gopalan, CJ Arokia Mary, N Indumathy, A Harida
    Journal of Physics: Conference Series 1916 (1), 012152 , 2021
    2021
    Citations: 3
  • Fuzzified Swarm Intelligence Framework Using Fpsor Algorithm for High-Speed Manet
    SH Gopalan
    2021
  • IoT Based Skin Cancer Detection-A Systematic Survey
    P Thangara, A Devipriya, MS Samsudeen
    Solid State Technology 63 (6), 14605-14613 , 2020
    2020
  • An Intelligent Bigdata Flavor Space Bizarre
    MMSSDP Thangaraj, A Devipriya, M Sivasangari, B Gomathy
    Solid State Technology 63 (6), 8673-8678 , 2020
    2020
  • Cooking with big data-Bizarre Recipes
    MMSSDP Thangaraj, A Devipriya, M Sivasangari, B Gomathy
    Solid State Technology 63 (6), 8679-8690 , 2020
    2020
  • Optimal route path sustainability in military information system with reduced interference effect: V. Vignesh, K. Premalatha
    V Vignesh, K Premalatha
    The Journal of Supercomputing 75 (9), 6106-6117 , 2019
    2019
    Citations: 2
  • Multi path interference aware reliable route path establishment in mobile adhoc network environment
    V Vignesh, K Premalatha
    Cluster Computing 22 (Suppl 5), 11029-11037 , 2019
    2019
    Citations: 4
  • Channel load based interference‐aware scheduling in military communication environment
    V Vignesh, K Premalatha
    Concurrency and Computation: Practice and Experience, e4738 , 2018
    2018
  • Multi-QoS and Interference Concerned Reliable Routing in Military Information System
    V Vignesh, K Premalatha
    Advances in Big Data and Cloud Computing, 351-360 , 2018
    2018
    Citations: 3
  • Automated Unmanned Railway Level Crossing
    V Vignesh
    ICMR, ISTE,CSI, IETE sponsored IEEE International Conference on Science … , 2017
    2017
  • Intensive Workflow Scheduling based on QoS factors
    V Vignesh
    ISTE sponsored National Conference on Emerging Trends in Instrumentation System” , 2017
    2017
  • Smart Irrigation system using IoT
    V Vignesh
    ISTE sponsored National Conference on Emerging Trends in Instrumentation System , 2017
    2017
  • optimal route path establishment in military information system with reduced interference effect
    V Vignesh, K Premalatha
    ISTE sponsored National Conference on Emerging Trends in Instrumentation System , 2017
    2017
  • Enhanced Automated Irrigation system using IoT
    V Vignesh
    National Conference on Innovations in Information Technology , 2017
    2017
  • Automated Unmanned Railway Level Crossings
    AM V.Vignesh, N.Pravin Kumar,M.Mohanraj
    Journal of Automation and Automobile engineering(MAT Journals) 2 (1), 1-10 , 2017
    2017

MOST CITED SCHOLAR PUBLICATIONS

  • Fuzzified swarm intelligence framework using FPSOR algorithm for high-speed MANET-Internet of Things (IoT)
    SH Gopalan, V Vignesh, DUS Rajkumar, AK Velmurugan, D Deepa, ...
    Measurement: Sensors 31, 101000 , 2024
    2024
    Citations: 11
  • A quantum-based blockchain approach to voting protocol using hyperledger sawtooth
    V Vignesh, SH Gopalan, M Mohan, RS Ramya, R Ananthakumar
    Journal of Physics: Conference Series 1916 (1), 012088 , 2021
    2021
    Citations: 10
  • Dynamic clinical trials management in anunreliable environment using blockchain
    SH Gopalan, V Vignesh, N Mahendran, M Dinesh
    Design Engineering (London) 5, 817-822 , 2021
    2021
    Citations: 7
  • Multi path interference aware reliable route path establishment in mobile adhoc network environment
    V Vignesh, K Premalatha
    Cluster Computing 22 (Suppl 5), 11029-11037 , 2019
    2019
    Citations: 4
  • Certain investigation on IOT based smart pill carafe in health care
    Vignesh, SH Gopalan, CJ Arokia Mary, N Indumathy, A Harida
    Journal of Physics: Conference Series 1916 (1), 012152 , 2021
    2021
    Citations: 3
  • Multi-QoS and Interference Concerned Reliable Routing in Military Information System
    V Vignesh, K Premalatha
    Advances in Big Data and Cloud Computing, 351-360 , 2018
    2018
    Citations: 3
  • Optimal route path sustainability in military information system with reduced interference effect: V. Vignesh, K. Premalatha
    V Vignesh, K Premalatha
    The Journal of Supercomputing 75 (9), 6106-6117 , 2019
    2019
    Citations: 2
  • Three Phase Cascaded H-Bridge Multilevel Inverter with Ac Source
    J Nandhagopal, V Vignesh, J Prasanth, R Prasanth, A Ramkumar
    International Journal of Scientific & Engineering Research 5 (4) , 2014
    2014
    Citations: 2
  • Deep Learning–Assisted Chaotic Optical Communication With Adaptive Nonlinearity Compensation
    V Vignesh, P Prabu, S Padmavathy, K Premalatha
    International Journal of Communication Systems 39 (7), e70470 , 2026
    2026
  • Interference Aware Routing in Dynamic Mobile Adhoc Network With the Concern of Qos Factors in Military Information System
    V Vignesh, AA Elngar, H Gopalan
    2022
  • Fuzzified Swarm Intelligence Framework Using Fpsor Algorithm for High-Speed Manet
    SH Gopalan
    2021
  • IoT Based Skin Cancer Detection-A Systematic Survey
    P Thangara, A Devipriya, MS Samsudeen
    Solid State Technology 63 (6), 14605-14613 , 2020
    2020
  • An Intelligent Bigdata Flavor Space Bizarre
    MMSSDP Thangaraj, A Devipriya, M Sivasangari, B Gomathy
    Solid State Technology 63 (6), 8673-8678 , 2020
    2020
  • Cooking with big data-Bizarre Recipes
    MMSSDP Thangaraj, A Devipriya, M Sivasangari, B Gomathy
    Solid State Technology 63 (6), 8679-8690 , 2020
    2020
  • Channel load based interference‐aware scheduling in military communication environment
    V Vignesh, K Premalatha
    Concurrency and Computation: Practice and Experience, e4738 , 2018
    2018
  • Automated Unmanned Railway Level Crossing
    V Vignesh
    ICMR, ISTE,CSI, IETE sponsored IEEE International Conference on Science … , 2017
    2017
  • Intensive Workflow Scheduling based on QoS factors
    V Vignesh
    ISTE sponsored National Conference on Emerging Trends in Instrumentation System” , 2017
    2017
  • Smart Irrigation system using IoT
    V Vignesh
    ISTE sponsored National Conference on Emerging Trends in Instrumentation System , 2017
    2017
  • optimal route path establishment in military information system with reduced interference effect
    V Vignesh, K Premalatha
    ISTE sponsored National Conference on Emerging Trends in Instrumentation System , 2017
    2017
  • Enhanced Automated Irrigation system using IoT
    V Vignesh
    National Conference on Innovations in Information Technology , 2017
    2017