Praneet Saurabh, Bhupendra Verma, Negative Selection in Anomaly Detection-A Survey, Computer Science Review, Volume 48, Elsevier, May 2023, https://doi.org/10.1016/j.cosrev.2023.100557
M. Rathore, M. Poongodi, Praneet Saurabh, Umesh Lilhore, A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography, Computers & Electrical Engineering, Vol 102, 2022, , https://doi.org/10.1016/j.compeleceng.2022.108205
Praneet Saurabh, Bhupendra Verma, An Efficient Proactive Artificial Immune System based Anomaly Detection and Prevention System, Expert Systems With Applications, Elsevier, 60, pp 311-320, 2016 , https://doi.org/10.1016/j.eswa.2016.03.042
Dhananjay Bisen, Umesh Kumar Lilhore, Praneet Saurabh, Kaamran Raahemifar, A Hybrid Deep Learning Model Using CNN and K-Mean Clustering for Energy Efficient Modelling in Mobile EdgeIoT, Volume 12, Issue 6, Electronics, MDPI, 2023 , https://doi.org/10.3390/electronics12061384
Deepak Jain, Tarishi Singh, Praneet Saurabh, Dhananjay Bisen, Neeraj Sahu, Jayant Mishra, Habibur Rahman, Deep Learning-Aided Automated Pneumonia Detection and Classification Using CXR Scans", Computational Intelligence and Neuroscience, vol. 2022, pp 1-19, 2022, https://doi.org/10.1155/2022/7474304