Evaluating the Performance of LSTM and GRU in Detection of Distributed Denial of Service Attacks Using CICDDoS2019 Dataset. - Malliga Subramanian; Kogilavani Shanmugavadivel; P. S. Nandhini; R. Sowmya (ICHSA, 2022)

A Lightweight Energy-Efficient Algorithm for mitigation and isolation of Internal Rank Attackers in RPL based Internet of Things. - P. S. Nandhini; S. Kuppuswami; Subramaniam Malliga; R. Devi Priya (Comput. Networks, 2022)

A Comprehensive Review of Deep Learning Techniques for the Detection of (Distributed) Denial of Service Attacks. - Subramaniam Malliga; P. S. Nandhini; Shanmuga Vadivel Kogilavani (Inf. Technol. Control., 2022)

On fine-tuning deep learning models using transfer learning and hyper-parameters optimization for disease identification in maize leaves. - Malliga Subramanian; Kogilavani Shanmugavadivel; P. S. Nandhini (Neural Comput. Appl., 2022)

Enhanced Rank Attack Detection Algorithm (E-RAD) for securing RPL-based IoT networks by early detection and isolation of rank attackers. - P. S. Nandhini; S. Kuppuswami; Subramaniam Malliga; R. Devi Priya (J. Supercomput., 2023)

Multilingual Offensive Language Detection In Social Media Content Using BERT-Base-Multilingual-Cased Model. - P. S. Nandhini; R. Karunamoorthi; P. Mariappan; S. Revathi (ICCCNT, 2024)