RESEARCH PROFILE

RESEARCH PUBLICATIONS

• Optimization of intrusion detection systems determined by ameliorated HNADAM-SGD algorithm

• Reference: Shyla, S., Bhatnagar, V., Bali, V., & Bali, S. (2022). Optimization of intrusion detection systems determined by ameliorated HNADAM-SGD algorithm. Electronics, 11(4), 507.

• Machine Learning Algorithms Performance Evaluation for Intrusion Detection

• Reference: Patil, S., Bhatnagar, V., & Singh, S. (2023, May). Evaluation of Machine Learning Algorithms Performance in Comparison to Cloud Privacy Legislation. In 2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC) (pp. 155-160). IEEE.

• The geo-spatial distribution of targeted attacks sources using honeypot networks

• Shyla, S., & Bhatnagar, V. (2021, January). The geo-spatial distribution of targeted attacks sources using honeypot networks. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 600-604). IEEE.

• Credit Card Fraud Transaction Detection System Using Neural Network-Based Sequence Classification Technique

• Kumar, K., & Bhatnagar, V. (2021). Credit Card Fraud Transaction Detection System Using Neural Network-Based Sequence Classification Technique. International Journal of Open Source Software and Processes (IJOSSP), 12(1), 21-40.

• Blockchain-Based Web 4.0: Decentralized Web for Decentralized Cloud Computing

• Panwar, A., & Bhatnagar, V. (2022). Blockchain-based web 4.0: Decentralized web for decentralized cloud computing. In Cloud IoT (pp. 219-233). Chapman and Hall/CRC.

• A novel three-phase hybrid cryptographic algorithm for data security

• Pooja, Shalu, Shyla, Sangwan, Y., & Shivahare, B. D. (2024). A novel three-phase hybrid cryptographic algorithm for data security. International Journal of Information Technology, 1-9.

• Computing Technologies for Prognosticating the Emanation of Carbon Using an ARIMA Model

• Kumar, K., & Bhatnagar, V. (2021). Computing Technologies for Prognosticating the Emanation of Carbon Using an ARIMA Model. In Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 (pp. 283-295). CRC Press.

• Botnet Forensic Analytics for Investigation of Disruptive Botherders

• Kumar, K., & Bhatnagar, V. (2021). Botnet Forensic Analytics for Investigation of Disruptive Botherders.  In Disruptive Technologies for Society 5.0 (pp. 265-276). CRC Press.

• Comprehensive Examination of Network Intrusion Detection Models on Data Science

• Bhatnagar, V. (2021). Comprehensive Examination of Network Intrusion Detection Models on Data Science. International Journal of Information Retrieval Research (IJIRR), 11(4), 14-40.

• Comprehensive Evaluation of Numerical Weather Prediction Models

• Shalu, & Shyla. (2024, December). Comprehensive Evaluation of Numerical Weather Prediction Models. In 2024 1st International Conference on Advances in Computing, Communication and Networking (ICAC2N) (pp. 957-962). IEEE.

• Framework for Gender Detection Using Facial Countenances

• Shyla, Shalu, & Dayal, M. (2024). Framework for Gender Detection Using Facial Countenances. Artificial Intelligence‐Enabled Blockchain Technology and Digital Twin for Smart Hospitals, 269-285.

• Real-time Violence Detection in Video Streams: Exploiting ResNet-50 for Enhanced Accuracy

• Kaur, S., Dureja, A., Kumar, M., & Dayal, M. Real-time Violence Detection in Video Streams: Exploiting ResNet-50 for Enhanced Accuracy. In Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing (pp. 150-162). CRC Press.

• Evaluation of Machine Learning Algorithms Performance in Comparison to Cloud Privacy Legislation

• Patil, S., Bhatnagar, V., & Singh, S. (2023, May). Evaluation of Machine Learning Algorithms Performance in Comparison to Cloud Privacy Legislation. In 2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC) (pp. 155-160). IEEE.

• Perspicacious Apprehension of HDTbNB Algorithm Opposed to Security Contravention.

• Bhatnagar, V. (2023). Perspicacious Apprehension of HDTbNB Algorithm Opposed to Security Contravention. Intelligent Automation & Soft Computing, 35(2).

• Probabilistic Evaluation of Distinct Machine Learning Algorithms

• Shyla, & Bhatnagar, V. (2022, May). Probabilistic Evaluation of Distinct Machine Learning Algorithms. In International Conference on Advancements in Interdisciplinary Research (pp. 287-299). Cham: Springer Nature Switzerland.

• Federated Learning as a Learning Strategy for Secure Cloud Architecture

• Kumar, A., & Bhatnagar, V. Federated Learning as a Learning Strategy for Secure Cloud Architecture. In Integration of Cloud Computing with Emerging Technologies (pp. 46-54). CRC Press.

• A Data-Driven Analysis of the Paradigm Shift From Permanent to Contractual Recruitment

• Bhatnagar, V., Ranjan, R., & Jain, A. (2021). A Data-Driven Analysis of the Paradigm Shift From Permanent to Contractual Recruitment. International Journal of Knowledge-Based Organizations (IJKBO), 11(2), 1-16.

• Internet of Things (IoT) Based Automated Light Intensity Model Using NodeMcu ESP 8266 Microcontroller

• Shyla, Bhatnagar, V. (2021). Internet of Things (IoT) Based Automated Light Intensity Model Using NodeMcu ESP 8266 Microcontroller. In: Choudhary, A., Agrawal, A.P., Logeswaran, R., Unhelkar, B. (eds) Applications of Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering, vol 778. Springer, Singapore. https://doi.org/10.1007/978-981-16-3067-5_3