Deep belief network based detection and categorization of malicious URLs. - Shymalagowri Selvaganapathy; Mathappan Nivaashini; Hemapriya Natarajan (Inf. Secur. J. A Glob. Perspect., 2018)

Bio-medical analysis of breast cancer risk detection based on deep neural network. - Nivaashini Mathappan; R. S. Soundariya; Aravindhraj Natarajan; Sathish Kumar Gopalan (Int. J. Medical Eng. Informatics, 2020)

Effective Feature Selection for Hybrid Wireless IoT Network Intrusion Detection Systems Using Machine Learning Techniques. - Mathappan Nivaashini; P. Thangaraj; S. Sountharrajan; E. Suganya; R. S. Soundariya (Ad Hoc Sens. Wirel. Networks, 2021)

Computational intelligence techniques for automatic detection of Wi-Fi attacks in wireless IoT networks. - Mathappan Nivaashini; P. Thangaraj (Wirel. Networks, 2021)

Hybrid intelligent intrusion detection system for multiple Wi-Fi attacks in wireless networks using stacked restricted Boltzmann machine and deep belief networks. - Nivaashini Mathappan; Suganya Elavarasan; Sountharrajan Sehar (Concurr. Comput. Pract. Exp., 2023)

Differential privacy scheme using Laplace mechanism and statistical method computation in deep neural network for privacy preservation. - G. Sathish Kumar; K. Premalatha; G. Uma Maheshwari; P. Rajesh Kanna; G. Vijaya; Mathappan Nivaashini (Eng. Appl. Artif. Intell., 2024)

FEDDBN-IDS: federated deep belief network-based wireless network intrusion detection system. - Mathappan Nivaashini; Suganya Elavarasan; Sountharrajan Sehar; M. Prabu; Durga Prasad Bavirisetti (EURASIP J. Inf. Secur., 2024)