Sunil Malviya

@sirtbhopal.ac.in

Assistant Professor in Computer Science and Information Technology department
Sagar Institute of Research and Technology Bhopal

EDUCATION

B.E., M.Tech

RESEARCH, TEACHING, or OTHER INTERESTS

Human-Computer Interaction, Artificial Intelligence
6

Scopus Publications

96

Scholar Citations

4

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Leveraging Text Data in Healthcare: A Systematic Review of AI-Driven Emotional Analysis and Patient-Centric Innovations
    Prashant Kumar Nag, Amit Bhagat, R. Vishnu Priya, Sunil Malviya, Sanjay Mishra
    Aip Conference Proceedings, 2026
  • Post-Quantum Traceable Anonymous Cross-Domain Authentication for Blockchain-Based IoT
    Deepak Kumar Khare, Dharmendra Dangi, Amit Bhagat, Sunil Malviya, Dheeraj Kumar Dixit
    IEEE Transactions on Consumer Electronics, 2026
    With the proliferation of Internet of Things (IoT) applications, secure and efficient cross-domain information sharing has become essential. Traditional cross-domain authentication approaches that rely on real device identities pose significant privacy risks, while fully anonymous schemes often lack accountability for malicious behavior. Additionally, emerging quantum computing capabilities threaten the security of classical cryptographic systems. To address these challenges, this paper proposes a post-quantum secure, traceable anonymous cross-domain authentication scheme based on blockchain technology. The scheme incorporates lattice-based certificateless cryptography and quantum-resistant hash functions to ensure resilience against quantum attacks. Devices are assigned multiple unlinkable pseudonymous identities with corresponding post-quantum public-private key pairs. A dynamic accumulator is employed to update domain information, and distinct pseudonyms are used for each authentication. Cross-domain credentials issued by a key generation center enable identity verification without exposing real identities. The system ensures both device privacy and traceability of malicious actors. Formal security proofs and BAN logic analysis confirm the scheme’s robustness against classical and quantum-era threats. Compared with existing classical approaches, the proposed scheme achieves strong post-quantum security with reduced computational and communication overhead during the authentication process.
  • Yolov5-Based Attention Mechanism for Gesture Recognition in Complex Environment
    Deepak Kumar Khare, Amit Bhagat, R. Vishnu Priya
    International Journal of Advanced Computer Science and Applications, 2024
    Object detection is a fundamental task in gesture recognition, involving identifying and localising human hand or body gestures within images or videos amidst varying environmental conditions. To address the inadequate recognition rate of gesture detection algorithms in intricate surroundings caused by issues such as inconsistent illumination, background colors resembling skin tones, and diminutive gesture scales, a gesture recognition approach termed HD-YOLOv5s is presented. An adaptive Gamma image enhancement preprocessing technique grounded in Retinex theory is employed to mitigate the effects of lighting variations on gesture recognition efficacy. A feature extraction network incorporating an adaptive convolutional attention mechanism (SKNet) is developed to augment the network's feature extraction efficacy and mitigate background interference in intricate situations. A novel bidirectional feature pyramid architecture is implemented in the feature fusion network to fully leverage low-level features, thereby minimizing the loss of shallow semantic information and enhancing the detection accuracy of small-scale gestures. A cross-level connection strategy is employed to enhance the model's detection efficiency. To assess the efficacy of the suggested technique, experiments were performed on a custom dataset featuring diverse lighting intensity fluctuations and the publicly available NUS-II dataset with intricate backdrops. The recognition rates attained were 99.5% and 98.9%, respectively, with a detection time per frame of about 0.01 to 0.02 seconds.
  • Various Machine Learning Techniques for Software Defect Prediction
    Deep Learning and Its Applications, 2021
  • Unusual crowd activity detection using OpenCV and motion influence map
    Arun Kumar Jhapate, Sunil Malviya, Monika Jhapate
    2nd International Conference on Data Engineering and Applications Idea 2020, 2020
    Suspicious behavior is dangerous in public areas that may cause heavy causalities. There are various systems developed on the basis of video frame acquisition where motion or pedestrian detection occur but those systems are not intelligent enough to identify the unusual activities even at real time. It is required to recognized scamper situation at real time from video surveillance for quick and immediate management before any casualties. Proposed system focuses on recognizing suspicious activities and target to achieve a technique which is able to detect suspicious activity automatically using computer vision. Here system uses OpenCV library for classifying different kind of actions at real time. The motion influence map has been used to represent the motion analysis that frequently changes the position from one place to another. System uses pixel level presentation for making it easy to understand or identify the actual situation.
  • A study on DeLC hybrid model for improvement of classification technique on sentiment analysis
    Sunil Malviya, Arun Kumar Jhapate, Ruchi Thakur, Vipin Tiwari
    2nd International Conference on Data Engineering and Applications Idea 2020, 2020
    Sentiment Analysis is that the application of linguistic communication process, linguistics and text process. Sentiment Analysis is the opinion mining task that aims to obtain the writer's or speaker's feelings (“smile”, “anger”, “sorrow”, etc.), attitude (Positive, negative or neutral) towards particular task such as product reviews, movie reviews or overall tonality of document. It is one of the serious issues which can be solved by using Natural Language Processing (NLP) methods and so called text pre-processing. In this paper, focuses on to investigate the classifier to improve the classification process and what kind of NLP methods can be processed. There is a great deal of significant information on Internet that, really, is difficult to utilize. Procedure this information can enable to foresee future items, economy patterns or social certainties by preparing the individuals emotions that are shared on web. In this paper, proposed a hybrid model named DeLC model.

RECENT SCHOLAR PUBLICATIONS

  • Leveraging text data in healthcare: A systematic review of AI-driven emotional analysis and patient-centric innovations
    PK Nag, A Bhagat, RV Priya, S Malviya, S Mishra
    AIP Conference Proceedings 3386 (1), 020038 , 2026
    2026
  • Post-Quantum Traceable Anonymous Cross-Domain Authentication for Blockchain-based IoT
    DK Khare, D Dangi, A Bhagat, S Malviya, DK Dixit
    IEEE Transactions on Consumer Electronics , 2025
    2025
  • Machine learning techniques for sentiment analysis: A review
    S Malviya, AK Tiwari, R Srivastava, V Tiwari
    SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology 12 (02 … , 2020
    2020
    Citations: 57
  • Unusual Crowd Activity Detection using OpenCV and Motion Influence Map
    AK Jhapate, S Malviya, M Jhapate
    2nd International Conference on Data, Engineering and Applications (IDEA) , 2020
    2020
    Citations: 20
  • Analysis of classification algorithms for insect detection using MATLAB
    DS Rathore, B Ram
    Proceedings of 2nd International Conference on Advanced Computing and … , 2019
    2019
    Citations: 11
  • Approaches for semantic relatedness computation for big data
    R Ahmad, T Ahmad, BL Pal, S Malviya
    Proceedings of 2nd International Conference on Advanced Computing and … , 2019
    2019
    Citations: 4
  • A Secure Multi Agent VANET Model to Improve Communication Services in VANET
    V Shrivastava, S Malviya
    International Journal of Trend in Scientific Research and Development 2 (3 … , 2018
    2018
    Citations: 3
  • Performance through Efficient Robust Routing Technique (ERR Model) to Protect WSN from DoS Attack
    BK Mishra, S Malviya
    International Journal of Trend in Scientific Research and Development 2 (3 … , 2018
    2018
  • A SURVEY ON WEBSITE APPLICATION INTRUSION.
    M Mittal, S Malviya
    International Journal of Advanced Research in Computer Science 8 (7) , 2017
    2017
  • Survey on Wireless Sensor Network Protocol to Solve Rushing Attack
    S Panwar, S Malviya
    International Journal of Computer Technology & Applications 8 (02), 185-189 , 2017
    2017
  • A Study on Software Defect Prediction by Data Mining Techniques
    SK Kushwaha, S Malviya
    International Journal of Master of Engineering Research and Technology 3 (05 … , 2016
    2016
  • A Survey to Prevent Different Types of Attacks in VANET
    PK Sharma, S Malviya, Y Pandey
    International Journal of Advanced Research in Computer Science and … , 2015
    2015
  • A Survey of Triangle Based Techniques in Biometric Gait Recognition
    AK Jhapate, S Malviya
    International Conference on Inter-disciplinary Research in Engineering … , 2015
    2015
  • Performance and Comparison of Energy Efficient MAC Protocol in Wireless Sensor Network
    SS Chandekar, S Malviya
    International Journal of Engineering and Computer Science 4 (03) , 2015
    2015
  • Angiographic Image Segmentation Using Gradient Descent Method
    A Ahmed, S Malviya, Y Pandey
    International Journal of Engineering Research & Technology 3 (03), 1957-1961 , 2014
    2014
    Citations: 1
  • An Efficient Result Search for Automatic Speech Recognition using Finite State Machine with Genetic Algorithm
    S Malviya, SP Dubey
    International Conference on Inter-disciplinary Research in Engineering … , 2014
    2014
  • Security of Web Server Log Files and Web User in Web Mining
    P Kumar, S Malviya
    International Conference on Inter-disciplinary Research in Engineering … , 2014
    2014
  • Implemetation of Web Services for Distributed e-Education System Based on SOA
    CP Singar, S Malviya, SP Dubey
    International Conference on Concurrent Techno & Enviro Search , 2010
    2010
  • Sementics of Business Vocabulary and Rules Capture of Rules with Natural Language Processing
    S Malviya, CP Singar, SP Dubey
    International Conference on Concurrent Techno & Enviro Search , 2010
    2010

MOST CITED SCHOLAR PUBLICATIONS

  • Machine learning techniques for sentiment analysis: A review
    S Malviya, AK Tiwari, R Srivastava, V Tiwari
    SAMRIDDHI: A Journal of Physical Sciences, Engineering and Technology 12 (02 … , 2020
    2020
    Citations: 57
  • Unusual Crowd Activity Detection using OpenCV and Motion Influence Map
    AK Jhapate, S Malviya, M Jhapate
    2nd International Conference on Data, Engineering and Applications (IDEA) , 2020
    2020
    Citations: 20
  • Analysis of classification algorithms for insect detection using MATLAB
    DS Rathore, B Ram
    Proceedings of 2nd International Conference on Advanced Computing and … , 2019
    2019
    Citations: 11
  • Approaches for semantic relatedness computation for big data
    R Ahmad, T Ahmad, BL Pal, S Malviya
    Proceedings of 2nd International Conference on Advanced Computing and … , 2019
    2019
    Citations: 4
  • A Secure Multi Agent VANET Model to Improve Communication Services in VANET
    V Shrivastava, S Malviya
    International Journal of Trend in Scientific Research and Development 2 (3 … , 2018
    2018
    Citations: 3
  • Angiographic Image Segmentation Using Gradient Descent Method
    A Ahmed, S Malviya, Y Pandey
    International Journal of Engineering Research & Technology 3 (03), 1957-1961 , 2014
    2014
    Citations: 1
  • Leveraging text data in healthcare: A systematic review of AI-driven emotional analysis and patient-centric innovations
    PK Nag, A Bhagat, RV Priya, S Malviya, S Mishra
    AIP Conference Proceedings 3386 (1), 020038 , 2026
    2026
  • Post-Quantum Traceable Anonymous Cross-Domain Authentication for Blockchain-based IoT
    DK Khare, D Dangi, A Bhagat, S Malviya, DK Dixit
    IEEE Transactions on Consumer Electronics , 2025
    2025
  • Performance through Efficient Robust Routing Technique (ERR Model) to Protect WSN from DoS Attack
    BK Mishra, S Malviya
    International Journal of Trend in Scientific Research and Development 2 (3 … , 2018
    2018
  • A SURVEY ON WEBSITE APPLICATION INTRUSION.
    M Mittal, S Malviya
    International Journal of Advanced Research in Computer Science 8 (7) , 2017
    2017
  • Survey on Wireless Sensor Network Protocol to Solve Rushing Attack
    S Panwar, S Malviya
    International Journal of Computer Technology & Applications 8 (02), 185-189 , 2017
    2017
  • A Study on Software Defect Prediction by Data Mining Techniques
    SK Kushwaha, S Malviya
    International Journal of Master of Engineering Research and Technology 3 (05 … , 2016
    2016
  • A Survey to Prevent Different Types of Attacks in VANET
    PK Sharma, S Malviya, Y Pandey
    International Journal of Advanced Research in Computer Science and … , 2015
    2015
  • A Survey of Triangle Based Techniques in Biometric Gait Recognition
    AK Jhapate, S Malviya
    International Conference on Inter-disciplinary Research in Engineering … , 2015
    2015
  • Performance and Comparison of Energy Efficient MAC Protocol in Wireless Sensor Network
    SS Chandekar, S Malviya
    International Journal of Engineering and Computer Science 4 (03) , 2015
    2015
  • An Efficient Result Search for Automatic Speech Recognition using Finite State Machine with Genetic Algorithm
    S Malviya, SP Dubey
    International Conference on Inter-disciplinary Research in Engineering … , 2014
    2014
  • Security of Web Server Log Files and Web User in Web Mining
    P Kumar, S Malviya
    International Conference on Inter-disciplinary Research in Engineering … , 2014
    2014
  • Implemetation of Web Services for Distributed e-Education System Based on SOA
    CP Singar, S Malviya, SP Dubey
    International Conference on Concurrent Techno & Enviro Search , 2010
    2010
  • Sementics of Business Vocabulary and Rules Capture of Rules with Natural Language Processing
    S Malviya, CP Singar, SP Dubey
    International Conference on Concurrent Techno & Enviro Search , 2010
    2010