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ORCIDMathappan Nivaashini
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2020 – today
- 2024
[j7]G. Sathish Kumar, K. Premalatha, G. Uma Maheshwari, P. Rajesh Kanna
, G. Vijaya, Mathappan Nivaashini:
Differential privacy scheme using Laplace mechanism and statistical method computation in deep neural network for privacy preservation. Eng. Appl. Artif. Intell. 128: 107399 (2024)- [j6]Mathappan Nivaashini, Suganya Elavarasan, Sountharrajan Sehar, M. Prabu, Durga Prasad Bavirisetti:
FEDDBN-IDS: federated deep belief network-based wireless network intrusion detection system. EURASIP J. Inf. Secur. 2024(1): 8 (2024) - 2023
- [j5]Nivaashini Mathappan, Suganya Elavarasan, Sountharrajan Sehar:
Hybrid intelligent intrusion detection system for multiple Wi-Fi attacks in wireless networks using stacked restricted Boltzmann machine and deep belief networks. Concurr. Comput. Pract. Exp. 35(23) (2023) - 2021
- [j4]Mathappan Nivaashini, P. Thangaraj, S. Sountharrajan, E. Suganya, R. S. Soundariya:
Effective Feature Selection for Hybrid Wireless IoT Network Intrusion Detection Systems Using Machine Learning Techniques. Ad Hoc Sens. Wirel. Networks 49(3-4): 175-206 (2021) - [j3]Mathappan Nivaashini, P. Thangaraj:
Computational intelligence techniques for automatic detection of Wi-Fi attacks in wireless IoT networks. Wirel. Networks 27(4): 2761-2784 (2021) - 2020
- [j2]Nivaashini Mathappan, R. S. Soundariya, Aravindhraj Natarajan, Sathish Kumar Gopalan:
Bio-medical analysis of breast cancer risk detection based on deep neural network. Int. J. Medical Eng. Informatics 12(6): 529-541 (2020)
2010 – 2019
- 2018
- [j1]Shymalagowri Selvaganapathy, Mathappan Nivaashini, Hemapriya Natarajan:
Deep belief network based detection and categorization of malicious URLs. Inf. Secur. J. A Glob. Perspect. 27(3): 145-161 (2018)
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