Energy efficient routing for critical physiological parameters in wireless body area networks under mobile emergency scenarios. - V. Navya; P. Deepalakshmi (Comput. Electr. Eng., 2018)

A scalable multilabel-based access control as a service for the cloud (SMBACaaS). - P. Chinnasamy; P. Deepalakshmi (Trans. Emerg. Telecommun. Technol., 2018)

Hash Function Based Optimal Block Chain Model for the Internet of Things (IoT). - Andino Maseleno; Marini Othman; P. Deepalakshmi; K. Shankar 002; M. Ilayaraja (Handbook of Multimedia Information Security, 2019)

Segment routing based energy aware routing for software defined data center. - B. Balakiruthiga; P. Deepalakshmi; Sachi Nandan Mohanty; Deepak Gupta 002; P. Pavan Kumar 002; K. Shankar 002 (Cogn. Syst. Res., 2020)

A framework for e-healthcare management service using recommender system. - Palanigurupackiam Nagaraj; P. Deepalakshmi (Electron. Gov. an Int. J., 2020)

Data Transcription for India's Supreme Court Documents Using Deep Learning Algorithms. - Vaissnave V.; P. Deepalakshmi (Int. J. Electron. Gov. Res., 2020)

A two level security mechanism to detect a DDoS flooding attack in software-defined networks using entropy-based and C4.5 technique. - K. Muthamil Sudar; P. Deepalakshmi (J. High Speed Networks, 2020)

Machine learning for precision medicine forecasts and challenges when incorporating non omics and omics data. - J. Susymary; P. Deepalakshmi (Intell. Decis. Technol., 2021)

Diabetes Prediction Using Enhanced SVM and Deep Neural Network Learning Techniques: An Algorithmic Approach for Early Screening of Diabetes. - Palanigurupackiam Nagaraj; P. Deepalakshmi (Int. J. Heal. Inf. Syst. Informatics, 2021)

An intelligent flow-based and signature-based IDS for SDNs using ensemble feature selection and a multi-layer machine learning-based classifier. - K. Muthamil Sudar; P. Deepalakshmi (J. Intell. Fuzzy Syst., 2021)

(ITMP) - Intelligent Traffic Management Prototype using Reinforcement Learning approach for Software Defined Data Center (SDDC). - B. Balakiruthiga; P. Deepalakshmi (Sustain. Comput. Informatics Syst., 2021)

Graph analysis and clustering of proteins linked with COVID-19. - J. Susymary; P. Deepalakshmi (Intell. Decis. Technol., 2022)

Analysis on Hybrid Deep Neural Networks for Legal Domain Multitasks: Categorization, Extraction, and Prediction. - Vaissnave V.; P. Deepalakshmi (Int. J. e Collab., 2022)

HCAC-EHR: hybrid cryptographic access control for secure EHR retrieval in healthcare cloud. - P. Chinnasamy; P. Deepalakshmi (J. Ambient Intell. Humaniz. Comput., 2022)

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. - Sathiyandrakumar Srinivasan; P. Deepalakshmi (Concurr. Comput. Pract. Exp., 2023)

TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms. - K. Muthamil Sudar; P. Deepalakshmi; Ashish Singh; Parvathaneni Naga Srinivasu (Clust. Comput., 2023)

Modeling of automated glowworm swarm optimization based deep learning model for legal text summarization. - Vaissnave V.; P. Deepalakshmi (Multim. Tools Appl., 2023)

Harnessing machine learning for dynamic defence in the battle against 5G cybersecurity threats. - V. Aanandaram; P. Deepalakshmi (Int. J. Commun. Networks Distributed Syst., 2025)