K. Muthu

APCI: A Complexity-Aware Framework for Computational Software Effort Estimation in Machine Learning-Based Intrusion Detection Systems

The increasing adoption of machine learning and deep learning techniques in intrusion detection systems (IDSs) has substantially increased the computational complexity of model development due to large-scale datasets, sophisticated model architectures, extensive hyperparameter optimization, and repeated experimentation...