AVisual Assist ANormal Contact Us

Research Activities



Recent Publications

  • Sarthak, Rishiwal, V., Yadav, P. et al. Fine tuning the large language pegasus model for dialogue summarization. Int. j. inf. tecnol. 17, 1165–1177 (2025). https://doi.org/10.1007/s41870-024-02307-w
  • Sharmila, A., Rishiwal, V., Kumar, P. et al. Secure Hybrid Data Transmission Protocol for WSN with Key Management and Message Authentication. SN COMPUT. SCI. 6, 401 (2025). https://doi.org/10.1007/s42979-025-03946-x
  • Ambedkar, B. R. (2025). Enhancing the Performance of Cryptographic Hash Function Using 2080 Bits Proposed Secure Hash Algorithm 160 . International Journal of Scientific Research in Network Security and Communication, 13(1), 8–11. https://doi.org/10.26438/ijsrnsc.v13i1.264
  • Desikan, J., Singh, S. K., Jayanthiladevi, A., Bhushan, S., Rishiwal, V., & Kumar, M. (2025). Hybrid Machine Learning-Based Fault-Tolerant Sensor Data Fusion and Anomaly Detection for Fire Risk Mitigation in IIoT Environment. Sensors, 25(7), 2146. https://doi.org/10.3390/s25072146
  • Maurya, V., Rishiwal, V., Yadav, M. et al. Blockchain-driven security for IoT networks: State-of-the-art, challenges and future directions. Peer-to-Peer Netw. Appl. 18, 53 (2025). https://doi.org/10.1007/s12083-024-01812-w
  • V. Rishiwal, U. Agarwal, M. Yadav, S. Tanwar, D. Garg and M. Guizani, "A New Alliance of Machine Learning and Quantum Computing: Concepts, Attacks, and Challenges in IoT Networks," in IEEE Internet of Things Journal, doi: 10.1109/JIOT.2025.3535414.
    keywords: {Internet of Things;Quantum computing;Security;Surveys;Machine learning;Feature extraction;Classification algorithms;Encryption;Support vector machines;Quantum algorithm;Quantum Computing;Machine Learning;Internet of Things;Security;IoT attacks},
  • H. Palivela, M. Narvekar, D. Asirvatham, S. Bhushan, V. Rishiwal and U. Agarwal, "Code-Switching ASR for Low-Resource Indic Languages: A Hindi-Marathi Case Study," in IEEE Access, vol. 13, pp. 9171-9198, 2025, doi: 10.1109/ACCESS.2025.3527745.
    keywords: {Multilingual;Switches;Data models;Accuracy;Focusing;Phonetics;Hidden Markov models;Computational modeling;Training;Speech coding;Code-switching;automatic speech recognition;low-resource languages;Hindi;Marathi;Indic languages;language modeling},
  • P. Yadav et al., "Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks," in IEEE Access, vol. 12, pp. 173351-173379, 2024, doi: 10.1109/ACCESS.2024.3499741.
  • Sıngh, S., Kumar, K., & Kumar, B. (2024). Analysis of feature extraction techniques for sentiment analysis of tweets. Turkish Journal of Engineering, 8(4), 741-753. https://doi.org/10.31127/tuje.1477502
  • Pooja Yadav, Hemant Yadav, S.C. Sharma (2024) Pretrained Model: A Transfer Learning Approach for Early Prediction of Chronic Diseases. Frontiers in Health Informatics, 13 (3), 190-.202
  • Yadav, H., Yadav, P., Joshi, N., Sharma, S.C. (2024). Smart Healthcare: Paradigm Shift in Industry 5.0 Using AI. In: Arya, R., Sharma, S.C., Verma, A.K., Iyer, B. (eds) Recent Trends in Artificial Intelligence Towards a Smart World. Frontiers of Artificial Intelligence, Ethics and Multidisciplinary Applications. Springer, Singapore. https://doi.org/10.1007/978-981-97-6790-8_3
  • Vishnoi, V. K., Kumar, K., Kumar, B., & Bhutiani, R. (2024). A stacking ensemble machine learning based approach for classification of plant diseases through leaf images. Environment Conservation Journal, 25(3), 767–778. https://doi.org/10.36953/ECJ.28742840
  • Pradhan, P., Kumar, B., Kumar, K., & Bhutiani, R. (2024). Plant disease detection using leaf images and an involutional neural network . Environment Conservation Journal, 25(2), 452–462. https://doi.org/10.36953/ECJ.28142024
  • A. Gupta and U. Sharma, "Machine Learning Based Aspect Category Detection for Hindi Data Using TF-IDF and Count Vectorization," 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), Dehradun, India, 2024, pp. 39-44, doi: 10.1109/DICCT61038.2024.10532960. keywords: {Sentiment analysis;Logistic regression;Machine learning algorithms;Reviews;Machine learning;Market research;Feature extraction;Aspect category;machine learning;Hindi reviews;multi-label classification;sentiment analysis},
  • Gupta A, Sharma U (2024) Deep Learning-Based Aspect Term Extraction for Sentiment Analysis in Hindi. Indian Journal of Science and Technology 17(7): 625-634 keywords: {Transfer learning;Adaptation models;Industrial Internet of Things;Data models;Surveys;Computational modeling;Databases;Data augmentation;Taxonomy;Reviews;Industrial Internet of Things Networks (IIoT-N);transfer learning;edge computing;predictive maintenance;anomaly detection},
  • P. Yadav et al., "Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks," in IEEE Access, vol. 12, pp. 173351-173379, 2024, doi: 10.1109/ACCESS.2024.3499741.
  • Soundararajan, S., Josphineleela, R., Bisht, A.K. et al. Enhancing natural disaster analysis and waste classification: a novel VGG-FL approach. Environ Monit Assess 196, 646 (2024). https://doi.org/10.1007/s10661-024-12745-5 keywords: {Transfer learning;Adaptation models;Industrial Internet of Things;Data models;Surveys;Computational modeling;Databases;Data augmentation;Taxonomy;Reviews;Industrial Internet of Things Networks (IIoT-N);transfer learning;edge computing;predictive maintenance;anomaly detection},
  • Agarwal, U., Rishiwal, V., Shiblee, M. et al. Blockchain-based intelligent tracing of food grain crops from production to delivery. Peer-to-Peer Netw. Appl. 17, 3722–3749 (2024). https://doi.org/10.1007/s12083-024-01780-1
  • Singh, O., Rishiwal, V. & Yadav, M. EPMR: Energy Proficient Mobile Routing for Scalable Wireless Sensor Networks. Wireless Pers Commun 138, 1985–2011 (2024). https://doi.org/10.1007/s11277-024-11589-z
  • U. Agarwal et al., "Exploring Blockchain and Supply Chain Integration: State-of-the-Art, Security Issues, and Emerging Directions," in IEEE Access, vol. 12, pp. 143945-143974, 2024, doi: 10.1109/ACCESS.2024.3471340. keywords: {Blockchains;Supply chain management;Surveys;Stakeholders;Medical services;Drugs;Complexity theory;Textiles;Internet of Things;Network security;Trust management;Risk management;Information integrity;Blockchain technology;secure supply chain;cyber attacks;IoT networks;security;trust},
  • V. Rishiwal, U. Agarwal, A. Alotaibi, S. Tanwar, P. Yadav and M. Yadav, "Exploring Secure V2X Communication Networks for Human-Centric Security and Privacy in Smart Cities," in IEEE Access, vol. 12, pp. 138763-138788, 2024, doi: 10.1109/ACCESS.2024.3467002. keywords: {Vehicle-to-everything;Security;Blockchains;Privacy;Pedestrians;Safety;Smart cities;Human factors;Vehicular networks;V2X communication;human-centric security;authentication;blockchain technology},
  • Goyal, P., Rishiwal, V. & Negi, A. Pre-emptive Priority Queueing Based Multipath Routing (PPQM) to Enhance the QoS for Video Transmission in H-MANETs. Wireless Pers Commun 138, 1155–1191 (2024). https://doi.org/10.1007/s11277-024-11551-z
  • Agarwal, U., Rishiwal, V., Yadav, M., Maurya, V. (2024). Strengthening IoT Supply Chain Integrity: A Blockchain-Based Approach to Identify Malicious Devices. In: Pant, M., Deep, K., Nagar, A. (eds) Proceedings of the 12th International Conference on Soft Computing for Problem Solving. SocProS 2023. Lecture Notes in Networks and Systems, vol 995. Springer, Singapore. https://doi.org/10.1007/978-981-97-3292-0_44
  • Vinay Maurya, Vinay Rishiwal, Dharm Singh Jat, Preeti Yadav, Mano Yadav, Arpit Jain, Brijesh Kumar Chaurasia, "Blockchain-Enabled Defence Strategy for Attacks Prevention and Detection in IoT Ecosystem", 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), pp.1-8, 2024.
  • Udit Agarwal, Vinay Rishiwal, Mano Yadav, Majid Alshammari, Preeti Yadav, Omkar Singh, Vinay Maurya, "Exploring Blockchain and Supply Chain Integration: State-of-the-Art, Security Issues, and Emerging Directions", IEEE Access, vol.12, pp.143945-143974, 2024
  • Singh, K.R., Chaudhry, R., Rishiwal, V. et al. Model-Free QoE-Aware Seamless Handoff in Heterogeneous Wireless Networks. Mobile Netw Appl (2024). https://doi.org/10.1007/s11036-024-02305-z
  • Thakur, P., Kansal, V. & Rishiwal, V. Hybrid Deep Learning Approach Based on LSTM and CNN for Malware Detection. Wireless Pers Commun 136, 1879–1901 (2024). https://doi.org/10.1007/s11277-024-11366-y
  • S. Pandey, V. Rishiwal, D. S. Jat, P. Yadav, M. Yadav and A. Jain, "Towards Securing the Digital Document Using Blockchain Technology with Off-Chain Attribute Based Encryption Framework," 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), Windhoek, Namibia, 2024, pp. 857-864, doi: 10.1109/ETNCC63262.2024.10767571. keywords: {Robust control;Navigation;Law;Merging;Organizations;Throughput;Market research;Encryption;Blockchains;Monitoring;Digital document;Blockchain technology;ABE;traceability;security},
  • H. Singh, P. Yadav, V. Rishiwal, D. S. Jat, M. Yadav and S. Gnagwar, "Reptile Search and LLE Based Node Localization in WSN-Assisted IoT," 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), Windhoek, Namibia, 2024, pp. 1-7, doi: 10.1109/ETNCC63262.2024.10767531. keywords: {Location awareness;Smart agriculture;Performance evaluation;Wireless sensor networks;Systematics;Simulation;Medical services;Market research;Space exploration;Internet of Things;Localization;W-IoT;Reptile Search Algorithm;Locally Linear Embedding},
  • V. Maurya et al., "Blockchain-Enabled Defence Strategy for Attacks Prevention and Detection in IoT Ecosystem," 2024 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), Windhoek, Namibia, 2024, pp. 1-8, doi: 10.1109/ETNCC63262.2024.10767479. keywords: {Prevention and mitigation;Smart contracts;Ecosystems;Intrusion detection;Software;Blockchains;Security;Internet of Things;Software measurement;Tuning;IoT Network;Blockchain;Machine Learning;Smart Contract},
  • H. Palivela et al., "Optimization of Deep Learning-Based Model for Identification of Credit Card Frauds," in IEEE Access, vol. 12, pp. 125629-125642, 2024, doi: 10.1109/ACCESS.2024.3440637.keywords: {Fraud;Credit cards;Accuracy;Feature extraction;Training;Computational modeling;Deep learning;Sequences;Ensemble learning;Deep learning;sequential model;ensemble learning;fraud detection},
  • Agarwal, U., Rishiwal, V., Yadav, M., Mantoro, T., Bisht, A.K., Maurya, V. (2024). Blockchain-Enabled Secure Identity Verification in Agri-Food Supply Chain. In: Tomar, A., Mishra, S., Sood, Y.R., Kumar, P. (eds) Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication. MARC 2023. Lecture Notes in Electrical Engineering, vol 1232. Springer, Singapore. https://doi.org/10.1007/978-981-97-5231-7_12
  • Yadav, P., Sharma, S.C., Singh, O. et al. Optimized Localization Learning Algorithm for Indoor and Outdoor Localization System in WSNs. Wireless Pers Commun 130, 651–672 (2023). https://doi.org/10.1007/s11277-023-10304-8
  • Mano Yadav, Udit Agarwal, Vinay Rishiwal, Sudeep Tanwar, Suman Kumar, Fayez Alqahtani, Amr Tolba, "Exploring Synergy of Blockchain and 6G Network for Industrial Automation", IEEE Access, vol.11, pp.137163-137187, 2023.
  • Rahman, B., Mantoro, T., Andryana, S., Gunaryati, A., Rishiwal, V. (2024). Heart Disease Prediction: A Comprehensive Exploration of Optimal Predictive AI. In: Tomar, A., Mishra, S., Sood, Y.R., Kumar, P. (eds) Proceedings of 4th International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication. MARC 2023. Lecture Notes in Electrical Engineering, vol 1232. Springer, Singapore. https://doi.org/10.1007/978-981-97-5231-7_17
  • Chaudhry, R., Rishiwal, V., Yadav, P., Singh, K.R., Yadav, M. (2023). Automatic Smart Irrigation Method for Agriculture Data. In: Rishiwal, V., Kumar, P., Tomar, A., Malarvizhi Kumar, P. (eds) Towards the Integration of IoT, Cloud and Big Data. Studies in Big Data, vol 137. Springer, Singapore. https://doi.org/10.1007/978-981-99-6034-7_4
  • Rishiwal, V., Chaudhry, R., Yadav, M., Singh, K.R., Yadav, P. (2023). Artificial Intelligence Based Plant Disease Detection. In: Rishiwal, V., Kumar, P., Tomar, A., Malarvizhi Kumar, P. (eds) Towards the Integration of IoT, Cloud and Big Data. Studies in Big Data, vol 137. Springer, Singapore. https://doi.org/10.1007/978-981-99-6034-7_5
  • M. Yadav et al., "Exploring Synergy of Blockchain and 6G Network for Industrial Automation," in IEEE Access, vol. 11, pp. 137163-137187, 2023, doi: 10.1109/ACCESS.2023.3338861. keywords: {Automation;6G mobile communication;Blockchains;Security;Industries;5G mobile communication;Reliability;Industrial engineering;Internet of Things;Industrial automation;blockchain technology;6G;IoT;smart services}.
  • Kumar, B. and Dikshit, O., 2015. Spectral–spatial classification of hyperspectral imagery based on moment invariants. IEEE Journal of selected topics in applied earth observations and remote sensing, 8(6), pp.2457-2463.
  • Kumar, B. and Dikshit, O., 2017. Hyperspectral image classification based on morphological profiles and decision fusion. International Journal of Remote Sensing, 38(20), pp.5830-5854.
  • Kumar, B. and Dikshit, O., 2016. Parallel probabilistic relaxation labelling based on Markov random fields for spectral-spatial hyperspectral image classification. International Journal of Remote Sensing, 37(18), pp.4356-4379.
  • Kumar, B. and Dikshit, O., 2016. Spectral contextual classification of hyperspectral imagery with probabilistic relaxation labeling. IEEE transactions on cybernetics, 47(12), pp.4380-4391.
  • Kumar, B., Dikshit, O., Gupta, A. and Singh, M.K., 2020. Feature extraction for hyperspectral image classification: a review. International Journal of Remote Sensing, 41(16), pp.6248-6287.
  • Kumar, B., 2020. Hyperspectral image classification using three-dimensional geometric moments. IET Image Processing, 14(10), pp.2175-2186.
  • Bisht, A.K., Singh, R., Bhutiani, R. and Bhatt, A., 2019. Artificial Neural Network Based Water Quality Forecasting Model for Ganga River. International Journal of Engineering and Advanced Technology, 8(6), pp.2778-2785.
  • Bisht, A.K. and Ravendra Singh, R., 2017. An Investigation of Assessment and Modelling the Water Quality of Rivers Based on Artificial Neural Networks-An Initiative towards the River Ganga. International Journal on Future Revolution in Computer Science & Communication Engineering, 3(8), pp.17-23.
  • Bisht, A.K., Singh, R., Bhutiani, R., Bhatt, A. and Kumar, K., 2017. Water quality modelling of the River Ganga using artificial neural network with reference to the various training functions. Environment Conservation Journal, 18(1&2), pp.41-48.
  • Husain, A. and Sharma, S.C., 2015. Simulated analysis of location and distance based routing in VANET with IEEE802. 11p. Procedia Computer Science, 57, pp.323-331.
  • Husain, A. and Sharma, S.C., 2015. Performance Evaluation of Location-Based Geocast Routing using Directed Flooding Rectangular Forwarding Zone in City VANET. International Journal of Engineering and Technology Innovation, 5(4).
  • Husain, A. and Sharma, S.C., 2018. Implementation of geographical location based routing protocols in vehicular environment. International Journal of System Assurance Engineering and Management, 9(1), pp.18-25.
  • Tomar, S.K., Singh, S.P., Husain, A., Rajpal, C. and Tomar, K., Thermal Image Segmentation Based On Differential Evolution.
  • Kumar, M., Sharma, S.C., Goel, S., Mishra, S.K. and Husain, A., 2020. Autonomic cloud resource provisioning and scheduling using meta-heuristic algorithm. Neural Computing and Applications, 32(24), pp.18285-18303.
  • SAXENA, R. and Husain, A., 2020. Application of Computational Intelligence Techniques for Optimization of Routing Protocols in Wireless Sensor Networks: A Survey. INFOCOMP Journal of Computer Science, 19(1).
  • Husain, A., Singh, S.P. and Sharma, S.C., 2020. PSO Optimized Geocast Routing in VANET. Wireless Personal Communications, 115(3), pp.2269-2288.
  • Sharma, A., Bansal, A. and Rishiwal, V., 2020. SBADR: stable and bandwidth aware dynamic routing protocol for mobile ad hoc network. International Journal of Pervasive Computing and Communications.
  • Sharma, A., Bansal, A. and Rishiwal, V., 2020. Efficiency Parameters for Node Indexing to Get Energy Efficient and Bandwidth Aware Path. International Journal of Sensors Wireless Communications and Control, 10(5), pp.735-748.
  • Sharma, A., Bansal, A. and Rishiwal, V., Efficient on Demand Routing Protocol to Optimize Throughput in MANET.
  • Kumar, L. and Rishiwal, V., 2019. Design of Retrievable Data Perturbation Approach and TPA for Public Cloud Data Security. Wireless Personal Communications, 108(1), pp.235-251.
  • Kumar, G. and Rishiwal, V., 2020. Malicious User Nodes Detection by Web Mining Based Artificial Intelligence Technique. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 28(01), pp.1-24.
  • Singh, O. and Rishiwal, V., 2020. Scalable energy efficient routing mechanism prolonging network lifetime in wireless sensor networks. International Journal of Systems, Control and Communications, 11(2), pp.161-177.
  • Kumar, J., Rishiwal, V. and Ansari, M.I., 2019. Quality of Service in Wireless Sensor Networks: Imperatives and Challenges. International Journal of Sensors Wireless Communications and Control, 9(4), pp.419-431
  • Sharma H, Singh O, Rishiwal V, Ansari MI. Energy Efficient Routing Protocol Prolonging Network Lifetime For MANETs.
  • Singh, O. and Rishiwal, V., 2019. Study of Quality of Service Routing in Wireless Sensor Networks. International Journal of Sensors Wireless Communications and Control, 9(3), pp.297-313.
  • Singh, O. and Rishiwal, V., 2019. QoS Aware Multi-hop Multi-path Routing Approach in Wireless Sensor Networks. International Journal of Sensors Wireless Communications and Control, 9(1), pp.43-52.
  • Sharma, A., Bansal, A. and Rishiwal, V., 2019. Selection of high quality path through MXAODV in mobile ad-hoc network. International Journal of Systems, Control and Communications, 10(1), pp.1-17.
  • Rishiwal, V., Yadav, M. and Kumar, S., 2017. Energy consumption pattern and scalability of routing protocols for heterogeneous MANETs. International Journal of Communication Networks and Distributed Systems, 18(1), pp.83-109.
  • Naim, I., Mahara, T. and Khan, S.A., 2020. Ranking of univariate forecasting techniques for seasonal time series using analytical hierarchy process. International Journal of Industrial and Systems Engineering, 35(2), pp.196-215.
  • Naim, I. and Mahara, T., 2018. Comparative analysis of univariate forecasting techniques for industrial natural gas consumption. International Journal of Image, Graphics and Signal Processing, 10(5), p.33.
  • Pa, T.L., Kumari, M., Singh, T. and Ahsan, M., 2018. Semantic Representations in Text Data. International Journal of Grid and Distributed Computing, 11(9), pp.65-80.
  • Singh, T., Kumari, M., Pal, T.L. and Chauhan, A., 2017. Current trends in text mining for social media. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, 10(6), pp.11-28.
  • Ahsan, M., Kumari, M., Singh, T. and Pal, T.L., 2018. Sentiment based information diffusion in online social networks. International Journal of Knowledge Discovery in Bioinformatics (IJKDB), 8(1), pp.60-74.
  • Singh, D. and Bedi, S.S., 2016. Multiclass ELM based smart trustworthy IDS for MANETs. Arabian Journal for Science and Engineering, 41(8), pp.3127-3137.
  • Ahuja, R. and Bedi, S.S., 2017. Robust Video Watermarking Scheme Based on Intra-Coding Process in MPEG-2 Style. International Journal of Electrical & Computer Engineering (2088-8708), 7(6).
  • Singh, Y.P., Mishra, R., Bedi, S.S. and Yadav, H.C., 2017. A multi-criterion based integrated methodology for the selection of expert system shell. International Journal of Intelligent Enterprise, 4(4), pp.328-344.
  • Chandra, M.A. and Bedi, S.S., 2018. Survey on SVM and their application in image classification. International Journal of Information Technology, pp.1-11.
  • Khan, A., Quraishi, S.J. and Bedi, S.S., Mouse Dynamics as Continuous User Authentication Tool‖. International Journal of Recent Technology and Engineering (IJRTE), ISSN, pp.2277-3878.
  • Chandra, M.A. and Bedi, S.S., 2020. Benchmarking tree-based least squares twin support vector machine classifiers. International Journal of Business Intelligence and Data Mining, 16(3), pp.381-395.
  • Ahuja, R. and Bedi, S.S., 2019. Video watermarking scheme based on IDR frames using MPEG-2 structure. International Journal of Information and Computer Security, 11(6), pp.585-603.