Accomplishments
Enhancing cybersecurity in energy IoT networks: a machine learning algorithms on data tampering
- Abstract
The integration of Internet of Things (IoT) into energy management systems has been changed energy grids and energy technologies; with technological advancement increase in cybersecurity concerns has been introduced significantly. Observation and manipulation of sensor data has become easier particularly through cyber-attacks such as man in the middle attack (MITM), Due to this cyber-attacks credibility of sensor data is been affected which can result into drastic disruption in energy grid and energy technologies operations. Through this paper challenges in IoT system used in energy management and energy monitoring will be observed. A testbed is set up using a PLC (Programmable Logic Controller) is established using Raspberry Pi as hardware and Open PLC Library as software to run ladder logic. A sensor DHT11 record temperature value of heating element which is controlled by PLC, using machine