Dr M V Narayana

@gniindia.org

Professor, Computer Science and Engineering
Guru Nanak Institutions Technical Campus

Dr M V Narayana


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https://researchid.co/malapati

RESEARCH INTERESTS

Networks, Security, Emerging Technologies
19

Scopus Publications

137

Scholar Citations

7

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Developing an Automated Model of Pyramidal Deformable Adaptive RAN and Unet++-Based Segmentation for Skin Cancer Disease Diagnosis
    Malapati Venkata Narayana, Nidamanuru Srihari Rao, Krishna Kumar .N, Dr Surya Kiran Chebrolu, Naveen Reddy Nemili, Supraja Ballari, Ravindra Changala
    Sensing and Imaging, 2026
  • QoS-Aware Deployment and Synchronization of Digital Twins Over Federated Cloud Platforms for Smart Infrastructure Monitoring
    M V Narayana, Naveen Reddy N, Madhu S, Madhu T, Niladri Sekhar Dey, Sanjeev Shrivastava
    International Journal of Advanced Computer Science and Applications, 2025
    This electronic increasingly, Digital Twin (DT) systems are being leveraged in smart infrastructure settings (e.g., structural health monitoring, intelligent traffic controls, and distributed utility networks). Yet, the available solutions all face hurdles that can prevent real-time synchronization of DT instances across federated cloud platforms, primarily due to latency variation, quality of service (QoS) assurance, and stale data, which are all consequences of heterogeneous computer environments. Most solutions depend on static cloud-only models of deployment, with no option for dynamic negotiation of resources. These provide long update times (typically greater than 200ms), low accuracy rates, and low real-time responsiveness. Additionally, traditional DT models were not developed with multi-regional deployment or QoS workloads in mind. In this work, a QoS-Aware Federated Digital Twin Orchestration Framework (Q-FDTO) is designed to allow latency-critical monitoring of infrastructure across different federated cloud regions, through the integration of a hybrid edge-cloud control plane, adaptive synchronization, jitter consideration for observed intervals, and dynamic resource allocation via reinforcement learning for defined QoS Service Level Objectives (SLOs). This system was evaluated on a smart city testbed of 1200 sensor nodes. The testbed monitored sensor readings for structural strain, vibration, and traffic density across twelve locations. The digital twin pipeline is comprehensive [i.e., (i) ingestion via Wi-Fi MQTT, (ii) stream fusion of all the sensor readings via Kalman filtering, and (iii) twin modeling of prediction, through a temporal graph convolutional network (T-GCN)]. To assess performance, sync policies were evaluated on metrics for average update latency (ms), sync drift (ms), and data consistency rate (%). The results demonstrate that Q-FDTO had an average update latency of 87.3 ms, reduced from 194.6 ms, and a 96.2% consistency rate across federated nodes with less than 2.5% sync drift over 10-minute intervals, showing Q-FDTO architecture ability for network boundaries and also compatible with AWS Outposts and Azure Arc hybrid cloud environments. It establishes a scalable and practical approach to latency-sensitive DT deployments in the realm of smart infrastructure systems.
  • A NOVEL INTEGRATED FRAMEWORK FOR SECURE IOT-BASED SMART VEHICLE MANAGEMENT USING MACHINE LEARNING AND BLOCKCHAIN FOR PATH PLANNING AND COLLISION AVOIDANCE
    Journal of Theoretical and Applied Information Technology, 2025
  • Virtual Machine Migration Framework with Configuration Change Management
    Y. Niranjan, M. V. Narayana, M. Vijaya Sudha
    Lecture Notes in Networks and Systems, 2023
  • Energy and Buffer Size-Based Routing Protocol for Internet of Things
    Tariq Ahamed Ahanger, Chatti Subbalakshmi, M. V. Narayana
    Lecture Notes in Networks and Systems, 2023
  • A Contemporary Analysis of Privacy Preserving Strategies in MANET
    Chinna Reddaiah, M. V. Narayana, M. Vijaya Sudha, Ch. Subba Laxmi
    Lecture Notes in Networks and Systems, 2023
  • Enhanced Energy Efficient with a Trust Aware in MANET for Real-Time Applications
    M. V. Narayana, Vadla Pradeep Kumar, Ashok Kumar Nanda, Hanumantha Rao Jalla, Subba Reddy Chavva
    Computers Materials and Continua, 2023
    Mobile ad hoc networks (MANETs) are subjected to attack detection for transmitting and creating new messages or existing message modifications. The attacker on another node evaluates the forging activity in the message directly or indirectly. Every node sends short packets in a MANET environment with its identifier, location on the map, and time through beacons. The attackers on the network broadcast the warning message using faked coordinates, providing the appearance of a network collision. Similarly, MANET degrades the channel utilization performance. Performance highly affects network performance through security algorithms. This paper developed a trust management technique called Enhanced Beacon Trust Management with Hybrid Optimization (EBTM-Hyopt) for efficient cluster head selection and malicious node detection. It tries to build trust among connected nodes and may improve security by requiring every participating node to develop and distribute genuine, accurate, and trustworthy material across the network. Specifically, optimized cluster head election is done periodically to reduce and balance the energy consumption to improve the lifetime network. The cluster head election optimization is based on hybridizing Particle Swarm Optimization (PSO) and Gravitational Search Optimization Algorithm (GSOA) concepts to enable and ensure reliable routing. Simulation results show that the proposed EBTM-HYOPT outperforms the state-of-the-art trust model in terms of 297.99 kbps of throughput, 46.34% of PDR, 13% of energy consumption, 165.6 kbps of packet loss, 67.49% of end-to-end delay, and 16.34% of packet length.
  • A Gravitational Search Algorithm Study on Text Summarization Using NLP
    Chatti Subbalakshmi, Piyush Kumar Pareek, M. V. Narayana
    Communications in Computer and Information Science, 2022
  • Improvement of Precision in Agriculture Using IoT-Based Machine Learning Techniques
    M. V. Narayana, J. Rajeshwar, Chatti Subbalakshmi
    Lecture Notes in Networks and Systems, 2022
  • Medical Image Cryptanalysis using Adaptive, Lightweight Neural Network based Algorithm for IoT based Secured Cloud Storage
    M V Narayana, Ch Subba Lakshmi, Rishi Sayal
    International Journal of Advanced Computer Science and Applications, 2022
    Currently available modern medical system generates large amounts of data, such as computerized patient data and digital medical pictures, which must be kept securely for future reference. Existing storage technologies are not capable of storing large amounts of data efficiently. It is a key and abrogating topic of specialized, social, and medical significance and a key and abrogating subject of general interest. The results of cars, purchasers, and Internet of Things industrybased and essential segments, sensors, and other daily objects are fused with a network of the Internet and solid information abilities that promise to alter the way we operate and live future. The suggested work demonstrates a symmetric-key lightweight technique for secure data transmission of images and text, which uses an image encryption system and a reversible data hiding system to demonstrate the program's implementation. On the other hand, cloud storage services can meet demand due to features such as flexibility and availability. Cloud computing is enabled by amazing internet innovation as well as cutting-edge electrical equipment. Even though medical images may be stored on the cloud, most cloud service providers only save client data in plain text. As part of their overall strategy, cloud users must take responsibility for protecting medical data. Because attackers' increasing computing power and creativity are opening up more and more areas in this mathematical form, most existing image encryption schemes are vulnerable to the plaintext attack of choice. This article presents an image encryption method inspired by an Adaptive IoT-based Hopfield Neural Network (AIHNN) that can resist other assaults while optimizing and improving the system through continuous learning and updating. Keywords—Cloud storage; IoT; medical image; neural network
  • Implementing Solar Power Smart Irrigation System
    G. Balakrishna, G. Vishnu Murthy, M. Nageswara Rao, M. V. Narayana
    Lecture Notes in Networks and Systems, 2022
  • An Optimized Fuzzy-Based Resource Allocation for Cloud Using Secured Tabu Search Technique
    C. Srinivasa Kumar, Ranga Swamy Sirisati, M. Srinivasa Rao, M. V. Narayana, J. Rajeshwar
    Lecture Notes in Networks and Systems, 2022
  • An effective semantic web knowledge processing mechanism by using an adaptive swarm intelligence technique for ontology (asito)
    Sindhura A, Rajeshwar J, Narayana M V, Ram Babu M
    International Journal of Engineering Trends and Technology, 2021
  • An energy-efficient PSO-based cloud scheduling strategy
    Ranga Swamy Sirisati, M. Vishnu Vardhana Rao, S. Dilli Babu, M. V. Narayana
    Lecture Notes in Networks and Systems, 2021
  • An automated framework for detecting change in the source code and test case change recommendation
    Niladri Shekar Dey, Purnachand Kollapudi, M V, I Govardhana
    International Journal of Advanced Computer Science and Applications, 2020
  • A-ZHLS: Adaptive ZHLS routing protocol for heterogeneous mobile adhoc networks
    M V. Narayana, Aparnarajesh Atmakuri
    International Journal of Engineering and Technology Uae, 2018
  • Timestamp based certified routing for authorization and authentication in mobile ad hoc network
    Journal of Advanced Research in Dynamical and Control Systems, 2018
  • Genetic - ZHLS routing protocol for fault tolerance and load balancing
    Journal of Theoretical and Applied Information Technology, 2016
  • Secure- ZHLS: Secure zone based hierarchical link state routing protocolusing digital signature
    International Journal of Applied Engineering Research, 2015

RECENT SCHOLAR PUBLICATIONS

  • A NOVEL INTEGRATED FRAMEWORK FOR SECURE IOT-BASED SMART VEHICLE MANAGEMENT USING MACHINE LEARNING AND BLOCKCHAIN FOR PATH PLANNING AND COLLISION AVOIDANCE
    MV NARAYANA, P PARTHASARADHY, PJ KUMAR, S KIRAN, ...
    Journal of Theoretical and Applied Information Technology 103 (21) , 2025
    2025
  • QoS-Aware Deployment and Synchronization of Digital Twins Over Federated Cloud Platforms for Smart Infrastructure Monitoring.
    SS M V Narayana, Naveen Reddy N, Madhu S, Madhu T, Niladri Sekhar Dey
    International Journal of Advanced Computer Science & Applications 16 (8) , 2025
    2025
  • Molecular analysis of acute hemorrhagic conjunctivitis in a tertiary care hospital, Kalburgi district, Karnataka 2023
    JN Sanganal, A Shinde, MDI Ahmed, SA Pattassery, S Subash, ...
    Indian Journal of Medical Microbiology 53, 100785 , 2025
    2025
    Citations: 2
  • Integrating Blockchain with IoT for Enhanced Security and Privacy
    KS M V Narayana, B Mamatha
    International Journal Of Novel Research And Development 10 (1), b798-b813 , 2025
    2025
  • Evaluation of Financial Data Processing Life Cycle for Risk Prediction: A Survey
    PVMR M.V. Narayana, T. Sumallika, M. Vijaya Sudha
    International Journal of Computer Trends and Technology 72 (12), 89-99 , 2024
    2024
  • Energy-Efficient Algorithms for Prolonging Network Lifetime in MANETs
    SM M V Narayana, T Madhu
    International Journal of Computer Applications Technology and Research 13 … , 2024
    2024
    Citations: 1
  • Dynamic Resource Allocation in Cloud Computing Using Machine Learning Techniques
    RT M V Narayana, M Vijaya Sudha, T Sumallika, S Madhu, B Mamatha
    International Research Journal of Engineering and Technology (IRJET) 11 (12 … , 2024
    2024
    Citations: 3
  • A framework for identification of brain tumors from MR images using progressive segmentation
    MV Narayana, JN Rao, S Shrivastava, GS Ghantasala, I Ioannou, ...
    Health and Technology 14 (3), 539-556 , 2024
    2024
    Citations: 14
  • Impact on quality of life among health care workers: a case-control study of COVID-19 pandemic situation
    S Babu, K Nagoor, M Narayana, S Bala, V Animalla
    International Journal of Community Medicine and Public Health, Dec 10 (12 … , 2023
    2023
    Citations: 1
  • AN IN-DEPTH ANALYSIS OF DETECTING MENTAL HEALTH DISORDERS THROUGH SOCIAL MEDIA DATA MINING
    DMVN SHAH RITESHKUMAR RAMESHCHANDRA, Dr. JITENDRA SHEETLANI
    Seybold Report 18 (11), 454-463 , 2023
    2023
  • Enhanced energy efficient with a trust aware in MANET for real-time applications
    SRC M. V. Narayana , Vadla Pradeep Kumar , Ashok Kumar Nanda, Hanumantha Rao ...
    Computers, Materials & Continua 75 (1) , 2023
    2023
    Citations: 9
  • A New Model Proposed for Secure Cluster Management in Software Defined Networks
    MVN Chakali Maddilety, Dr. Pankaj Kawad Kar
    Mathematical Statistician and Engineering Applications 72 (2), 212 – 232 , 2023
    2023
  • Energy and Buffer Size-Based Routing Protocol for Internet of Things
    TA Ahanger, C Subbalakshmi, MV Narayana
    International Conference on Innovations in Computer Science and Engineering … , 2022
    2022
    Citations: 1
  • Virtual Machine Migration Framework with Configuration Change Management
    Y Niranjan, MV Narayana, M Vijaya Sudha
    International Conference on Innovations in Computer Science and Engineering … , 2022
    2022
  • A contemporary analysis of privacy preserving strategies in MANET
    C Reddaiah, MV Narayana, MV Sudha, CS Laxmi
    International Conference on Innovations in Computer Science and Engineering … , 2022
    2022
    Citations: 1
  • Implementing Solar Power Smart Irrigation System
    G Balakrishna, GV Murthy, MN Rao, MV Narayana
    Innovations in Computer Science and Engineering: Proceedings of the Ninth … , 2022
    2022
    Citations: 21
  • Improvement of Precision in Agriculture Using IoT-Based Machine Learning Techniques
    MV Narayana, J Rajeshwar, C Subbalakshmi
    Innovations in Computer Science and Engineering: Proceedings of the Ninth … , 2022
    2022
  • An Optimized Fuzzy-Based Resource Allocation for Cloud Using Secured Tabu Search Technique
    C Srinivasa Kumar, RS Sirisati, M Srinivasa Rao, MV Narayana, ...
    Innovations in Computer Science and Engineering: Proceedings of the Ninth … , 2022
    2022
    Citations: 3
  • A case with SARS-CoV-2 reinfection from India
    A Munivenkatappa, RR Sahay, GR Deshpande, DY Patil, AM Shete, ...
    Indian journal of medical microbiology 40 (1), 166-168 , 2022
    2022
    Citations: 3
  • Medical Image Cryptanalysis using Adaptive, Lightweight Neural Network based Algorithm for IoT based Secured Cloud Storage
    RS M V Narayana, Ch Subba Lakshmi
    International Journal of Advanced Computer Science and Applications 13 (1 … , 2022
    2022
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • A gravitational search algorithm study on text summarization using NLP
    C Subbalakshmi, PK Pareek, MV Narayana
    International Conference on Artificial Intelligence and Data Science, 144-159 , 2021
    2021
    Citations: 26
  • Implementing Solar Power Smart Irrigation System
    G Balakrishna, GV Murthy, MN Rao, MV Narayana
    Innovations in Computer Science and Engineering: Proceedings of the Ninth … , 2022
    2022
    Citations: 21
  • A framework for identification of brain tumors from MR images using progressive segmentation
    MV Narayana, JN Rao, S Shrivastava, GS Ghantasala, I Ioannou, ...
    Health and Technology 14 (3), 539-556 , 2024
    2024
    Citations: 14
  • An energy-efficient PSO-based cloud scheduling strategy
    RS Sirisati, M Vishnu Vardhana Rao, S Dilli Babu, MV Narayana
    Innovations in computer science and engineering: proceedings of 8th ICICSE … , 2021
    2021
    Citations: 13
  • Enhanced energy efficient with a trust aware in MANET for real-time applications
    SRC M. V. Narayana , Vadla Pradeep Kumar , Ashok Kumar Nanda, Hanumantha Rao ...
    Computers, Materials & Continua 75 (1) , 2023
    2023
    Citations: 9
  • Medical Image Cryptanalysis using Adaptive, Lightweight Neural Network based Algorithm for IoT based Secured Cloud Storage
    RS M V Narayana, Ch Subba Lakshmi
    International Journal of Advanced Computer Science and Applications 13 (1 … , 2022
    2022
    Citations: 7
  • Genetic-ZHLS Routing Protocol for fault tolerance and load balancing
    MV Narayana, G Narsimha, SSVNSarma
    Journal of Theoretical and Applied Information Technology 83 (1), 72 , 2016
    2016
    Citations: 7
  • Secure- ZHLS: Secure Zone Based Hierarchical Link State Routing Protocol using Digital Signature
    MV Narayana, G Narsimha, SSVNSarma
    International Journal of Applied Engineering Research 10 (9), 22927-22940 , 2015
    2015
    Citations: 7
  • Dynamic Resource Allocation in Cloud Computing Using Machine Learning Techniques
    RT M V Narayana, M Vijaya Sudha, T Sumallika, S Madhu, B Mamatha
    International Research Journal of Engineering and Technology (IRJET) 11 (12 … , 2024
    2024
    Citations: 3
  • An Optimized Fuzzy-Based Resource Allocation for Cloud Using Secured Tabu Search Technique
    C Srinivasa Kumar, RS Sirisati, M Srinivasa Rao, MV Narayana, ...
    Innovations in Computer Science and Engineering: Proceedings of the Ninth … , 2022
    2022
    Citations: 3
  • A case with SARS-CoV-2 reinfection from India
    A Munivenkatappa, RR Sahay, GR Deshpande, DY Patil, AM Shete, ...
    Indian journal of medical microbiology 40 (1), 166-168 , 2022
    2022
    Citations: 3
  • An Automated Framework for Detecting Change in the Source Code and Test Case Change Recommendation
    NS Dey, P Kollapudi, MV Narayana, IG Rao
    International Journal of Advanced Computer Science and Applications 11 (8) , 2020
    2020
    Citations: 3
  • A-ZHLS: adaptive ZHLS routing protocol for heterogeneous mobile adhoc networks
    MV Narayana, A Aparnarajesh
    International Journal of Engineering & Technology(UAE) 7 (3), 1626-1630 , 2018
    2018
    Citations: 3
  • Molecular analysis of acute hemorrhagic conjunctivitis in a tertiary care hospital, Kalburgi district, Karnataka 2023
    JN Sanganal, A Shinde, MDI Ahmed, SA Pattassery, S Subash, ...
    Indian Journal of Medical Microbiology 53, 100785 , 2025
    2025
    Citations: 2
  • An Effective Semantic Web Knowledge Processing Mechanism by Using an Adaptive Swarm Intelligence Technique for Ontology (ASITO)
    A Sindhura, J Rajeshwar, MV Narayana, MR Babu
    International Journal of Engineering Trends and Technology 69 (3), 195-200 , 2021
    2021
    Citations: 2
  • A SMART MIRROR USING RASPBERRY PI BASED ON IOT
    CK Gomathy, MRV Narayana, MTG Reddy
    International Research Journal of Engineering and Technology , 2021
    2021
    Citations: 2
  • A Comparative Study of Famous Image Compression Methods Based on Bits per Pixel: A Survey
    GRI U Shivanna, NiladriShekar Dey, K Purnachand, M V Narayana
    Journal Of Critical Reviews 7 (18), 1094-1104 , 2020
    2020
    Citations: 2
  • Compression, Encryption, Watermarking & Steganography (CEWS) Technique for Image Steganography
    MV Narayana
    International Journal of Latest Engineering and Management Research (IJLEMR … , 2018
    2018
    Citations: 2
  • Route Optimization by using Multiple Travelling Sales Person Problem in MANETs
    MV Narayana
    International Journal of Scientific Research in Computer Science … , 2018
    2018
    Citations: 2
  • Energy-Efficient Algorithms for Prolonging Network Lifetime in MANETs
    SM M V Narayana, T Madhu
    International Journal of Computer Applications Technology and Research 13 … , 2024
    2024
    Citations: 1