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Narayanavadivoo Gopinathan Bhuvaneswari Amma
Person information
- affiliation: National Institute of Technology, Tiruchirappalli, India
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2020 – today
- 2024
- [j11]N. G. Bhuvaneswari Amma
, Vikrant Rajput:
Towards improving the performance of traffic sign recognition using support vector machine based deep learning model. Multim. Tools Appl. 83(3): 6579-6600 (2024) - [j10]Kanchana Rajaram
, Bhuvaneswari Amma N. G.
, Ashwin S. Guptha, S. Selvakumar:
CLNet: a contactless fingerprint spoof detection using deep neural networks with a transfer learning approach. Multim. Tools Appl. 83(9): 27703-27722 (2024) - [j9]Dong-Jo Kim
, N. G. Bhuvaneswari Amma
, Velliangiri Sarveshwaran
:
A Novel Split Learning-Based Consumer Electronics Network Traffic Anomaly Detection Framework for Smart City Environment. IEEE Trans. Consumer Electron. 70(1): 4197-4204 (2024) - 2023
- [j8]S. Velliangiri
, N. G. Bhuvaneswari Amma
, Namkyun Baik
:
Detection of DoS Attacks in Smart City Networks With Feature Distance Maps: A Statistical Approach. IEEE Internet Things J. 10(21): 18853-18860 (2023) - 2022
- [j7]N. G. Bhuvaneswari Amma
:
A vector convolutional deep autonomous learning classifier for detection of cyber attacks. Clust. Comput. 25(5): 3447-3458 (2022) - [j6]Narayanavadivoo Gopinathan Bhuvaneswari Amma
, Velliangiri Sarveshwaran
, Vinayakumar Ravi
, Rajasekhar Chaganti
:
LPCOCN: A Layered Paddy Crop Optimization-Based Capsule Network Approach for Anomaly Detection at IoT Edge. Inf. 13(12): 587 (2022) - [j5]N. G. Bhuvaneswari Amma
, S. Selvakumar
:
Optimization of vector convolutional deep neural network using binary real cumulative incarnation for detection of distributed denial of service attacks. Neural Comput. Appl. 34(4): 2869-2882 (2022) - [c3]N. G. Bhuvaneswari Amma
, P. Valarmathi
:
IoTInDet: Detecting Internet of Things Intrusions with Class Scatter Ratio and Hellinger Distance Statistics. ICISS 2022: 155-168 - 2021
- [j4]N. G. Bhuvaneswari Amma
, S. Selvakumar
:
A statistical class center based triangle area vector method for detection of denial of service attacks. Clust. Comput. 24(1): 393-415 (2021) - 2020
- [j3]Narayanavadivoo Gopinathan Bhuvaneswari Amma
, S. Selvakumar
:
Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment. Future Gener. Comput. Syst. 113: 255-265 (2020) - [j2]N. G. Bhuvaneswari Amma
, S. Selvakumar
, R. Leela Velusamy
:
A Statistical Approach for Detection of Denial of Service Attacks in Computer Networks. IEEE Trans. Netw. Serv. Manag. 17(4): 2511-2522 (2020) - [c2]N. G. Bhuvaneswari Amma
, S. Selvakumar
, R. Leela Velusamy
:
SAGRU: A Stacked Autoencoder-Based Gated Recurrent Unit Approach to Intrusion Detection. FICTA (2) 2020: 41-50
2010 – 2019
- 2019
- [j1]Bhuvaneswari Amma N. G.
, S. Selvakumar
:
Deep Radial Intelligence with Cumulative Incarnation approach for detecting Denial of Service attacks. Neurocomputing 340: 294-308 (2019) - 2018
- [c1]Narayanavadivoo Gopinathan Bhuvaneswari Amma
, Subramanian Selvakumar
:
VCDeepFL: Vector Convolutional Deep Feature Learning Approach for Identification of Known and Unknown Denial of Service Attacks. TENCON 2018: 640-645
Coauthor Index
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