Forensics of Random-UDP Flooding Attacks. - Anchit Bijalwan; Mohammad Wazid; Emmanuel S. Pilli; Ramesh Chandra Joshi (J. Networks, 2015)

Process of finding defects in software testing. - Arti Rana; Arvind Singh Rawat; Anchit Bijalwan (RICE, 2017)

A Framework on botnet detection and forensics. - Harvinder Singh; Anchit Bijalwan (RICE, 2017)

Network Traffic Classification Using Multiclass Classifier. - Prabhjot Kaur; Prashant Chaudhary; Anchit Bijalwan; Amit Awasthi (ICACDS (1), 2018)

Adhesive Model for Collection and Auto Storage of Colossal Health Data for Epidemiological Studies. - Prabhjot Kaur; Anchit Bijalwan; Amit Awasthi (RICE, 2018)

Application of Multi Layer (Perceptron) Artificial Neural Network in the Diagnosis System: A Systematic Review. - Arti Rana; Arvind Singh Rawat; Anchit Bijalwan; Himanshu Bahuguna (RICE, 2018)

Botnet Forensic: Issues, Challenges and Good Practices. - Anchit Bijalwan; Vijender Kumar Solanki; Emmanuel S. Pilli (Netw. Protoc. Algorithms, 2018)

Botnet Forensic Analysis Using Machine Learning. - Anchit Bijalwan (Secur. Commun. Networks, 2020)

Evaluation of feature selection techniques on network traffic for comparing model accuracy. - Prabhjot Kaur; Amit Awasthi; Anchit Bijalwan (Int. J. Comput. Sci. Eng., 2021)

An early detection and segmentation of Brain Tumor using Deep Neural Network. - Mukul Aggarwal; Amod Kumar Tiwari; M. Partha Sarathi; Anchit Bijalwan (BMC Medical Informatics Decis. Mak., 2023)

A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review. - Sunil Kumar; Harish Kumar; Gyanendra Kumar; Shailendra Pratap Singh; Anchit Bijalwan; Manoj Diwakar (BMC Medical Imaging, 2024)