Nahideh Derakhshanfard

A resource-aware framework for energy and bandwidth efficient IoT intrusion detection using lightweight federated learning over SDN

The rapid growth of Internet of Things (IoT) deployments has widened the network attack surface while increasing the cost of centralised intrusion detection, particularly when raw traffic must be moved to remote servers. We propose HFL-SDN-IDS, a hierarchical, resource-aware fram...

An Intelligent Deep Reinforcement Learning Framework for Cost-Efficient and Energy-Aware Cloud Resource Management

The rapid growth of cloud computing and Internet of Things (IoT) applications has intensified the need for efficient resource allocation, energy management, and cost optimization in large-scale data centers. Traditional optimization and machine learning approaches, while effectiv...

A lightweight hybrid encryption scheme for secure IoT communications based on elliptic curve cryptography and a chaotic dynamic substitution box

The rapid growth of interconnected systems, particularly within the Internet of Things (IoT), has significantly increased the volume of data exchanged across networks, making data security a critical challenge in environments with limited computational resources. Consequently, th...