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2020 – today
- 2023
[j16]K. Muthamil Sudar
, P. Deepalakshmi, Ashish Singh, Parvathaneni Naga Srinivasu:
TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms. Clust. Comput. 26(2): 1461-1477 (2023)- [j15]Sathiyandrakumar Srinivasan, P. Deepalakshmi:
An innovative malware detection methodology employing the amalgamation of stacked BiLSTM and CNN+LSTM-based classification networks with the assistance of Mayfly metaheuristic optimization algorithm in cyber-attack. Concurr. Comput. Pract. Exp. 35(10) (2023) - [j14]Vaissnave V., P. Deepalakshmi:
Modeling of automated glowworm swarm optimization based deep learning model for legal text summarization. Multim. Tools Appl. 82(11): 17175-17194 (2023) - 2022
- [j13]J. Susymary, P. Deepalakshmi:
Graph analysis and clustering of proteins linked with COVID-19. Intell. Decis. Technol. 16(1): 145-158 (2022) - [j12]Vaissnave V., P. Deepalakshmi:
Analysis on Hybrid Deep Neural Networks for Legal Domain Multitasks: Categorization, Extraction, and Prediction. Int. J. e Collab. 18(1): 1-22 (2022) - [j11]P. Chinnasamy, P. Deepalakshmi:
HCAC-EHR: hybrid cryptographic access control for secure EHR retrieval in healthcare cloud. J. Ambient Intell. Humaniz. Comput. 13(2): 1001-1019 (2022) - 2021
- [j10]J. Susymary, P. Deepalakshmi:
Machine learning for precision medicine forecasts and challenges when incorporating non omics and omics data. Intell. Decis. Technol. 15(1): 69-85 (2021) - [j9]Palanigurupackiam Nagaraj, P. Deepalakshmi:
Diabetes Prediction Using Enhanced SVM and Deep Neural Network Learning Techniques: An Algorithmic Approach for Early Screening of Diabetes. Int. J. Heal. Inf. Syst. Informatics 16(4): 1-20 (2021) - [j8]K. Muthamil Sudar, P. Deepalakshmi:
An intelligent flow-based and signature-based IDS for SDNs using ensemble feature selection and a multi-layer machine learning-based classifier. J. Intell. Fuzzy Syst. 40(3): 4237-4256 (2021) - [j7]B. Balakiruthiga, P. Deepalakshmi:
(ITMP) - Intelligent Traffic Management Prototype using Reinforcement Learning approach for Software Defined Data Center (SDDC). Sustain. Comput. Informatics Syst. 32: 100610 (2021) - 2020
- [j6]B. Balakiruthiga, P. Deepalakshmi, Sachi Nandan Mohanty, Deepak Gupta, P. Pavan Kumar, K. Shankar:
Segment routing based energy aware routing for software defined data center. Cogn. Syst. Res. 64: 146-163 (2020) - [j5]Palanigurupackiam Nagaraj, P. Deepalakshmi:
A framework for e-healthcare management service using recommender system. Electron. Gov. an Int. J. 16(1/2): 84-100 (2020) - [j4]Vaissnave V., P. Deepalakshmi:
Data Transcription for India's Supreme Court Documents Using Deep Learning Algorithms. Int. J. Electron. Gov. Res. 16(4): 21-41 (2020) - [j3]K. Muthamil Sudar, P. Deepalakshmi:
A two level security mechanism to detect a DDoS flooding attack in software-defined networks using entropy-based and C4.5 technique. J. High Speed Networks 26(1): 55-76 (2020)
2010 – 2019
- 2019
- [p1]Andino Maseleno, Marini Othman, P. Deepalakshmi, K. Shankar, M. Ilayaraja:
Hash Function Based Optimal Block Chain Model for the Internet of Things (IoT). Handbook of Multimedia Information Security 2019: 289-300 - 2018
- [j2]V. Navya, P. Deepalakshmi:
Energy efficient routing for critical physiological parameters in wireless body area networks under mobile emergency scenarios. Comput. Electr. Eng. 72: 512-525 (2018) - [j1]P. Chinnasamy, P. Deepalakshmi:
A scalable multilabel-based access control as a service for the cloud (SMBACaaS). Trans. Emerg. Telecommun. Technol. 29(8) (2018)
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