Crypto-Preserving Investigation Framework for Deep Learning Based Malware Attack Detection for Network Forensics. - Sonam Bhardwaj; Mayank Dave (Wirel. Pers. Commun., 2022)

Integrating a Rule-Based Approach to Malware Detection with an LSTM-Based Feature Selection Technique. - Sonam Bhardwaj; Mayank Dave (SN Comput. Sci., 2023)

Enhanced neural network-based attack investigation framework for network forensics: Identification, detection, and analysis of the attack. - Sonam Bhardwaj; Mayank Dave (Comput. Secur., 2023)

Overcoming the lack of labeled data: Training malware detection models using adversarial domain adaptation. - Sonam Bhardwaj; Adrian Shuai Li; Mayank Dave; Elisa Bertino (Comput. Secur., 2024)

RAKSHAM: Responsive approach to Knock-off scavenging hackers and attack mitigation. - Sonam Bhardwaj; Mayank Dave (Trans. Emerg. Telecommun. Technol., 2024)

Attack detection and mitigation using Intelligent attack graph model for Forensic in IoT Networks. - Sonam Bhardwaj; Mayank Dave (Telecommun. Syst., 2024)