ENERGY CONSUMPTION-BASED RANSOMWARE DETECTION ON ANDROID DEVICES
Keywords:
Energy Consumption-Based, Ransomeware Detection, Internet of Things (IoT)Abstract
An Internet of Things (IoT) architecture comprises heterogeneous sensors and actuators communicating over networked platforms to perform automated tasks.The purpose of this study is to quantify energy consumption in IoT deployments and identify key optimization strategies. We employ a quantitative experimental design across 100 simulated IoT nodes under varied load and scheduling conditions. Our analysis reveals that (1) adaptive load balancing reduces per-device power draw by 22 %, (2) firmware scheduling optimizations improve system efficiency by 14 %, and (3) real- time monitoring with a predictive algorithm anticipates consumption spikes with 88% accuracy. We therefore recommend integrating these strategies into standard IoT frameworks to enhance energy efficiency and prolong device lifespan.
