Smart Farming- Drip Irrigation Controlled using LR-WPAN with hybrid Power

Agricultural sectors always need technology to get higher yields. Wireless Sensor Technology with LR-WPAN gives the opportunity to control the plat with minimum cost. In this paper, we developed a system that optimally waters agricultural crops based on a wireless sensor network technology. The scope in this paper consists of two main components: a hybrid power source and a communication system between end nodes with the gateway. The first component was designed and implemented in control box hardware using PLC (Programmable Logic Controller) to generate the power to all components (microcontroller, sensor, and actuator). The second is transmission data from end node to gateway by utilizing Zigbee protocol. The automation uses data from three soil moisture sensors as a trigger to the ON/OFF solenoid valve for watering the field. It may conclude that the system can work properly, the data from the field was sent real-time. Also, the hybrid power was working properly to supply power

Implementation of Wireless Sensor Network (WSN) for Earthquake Detection

The current earthquake monitoring system uses a seismometer that can capture seismic vibrations very well but is expensive, heavy, and difficult to launch. Therefore, earthquake monitoring stations can only be launched in a few places in small numbers. This study aims to implement a Wireless Sensor Network (WSN) system for earthquake monitoring. The WSN system has advantages in cost, size, and ease of launch, so it is very appropriate to be used for this purpose. An earthquake detection sensor system has been designed in this study using a vibration sensor and a piezoelectric sensor. When an earthquake occurs, the resulting shock will trigger the vibration sensor and activate the sensor node. The shock data is then captured by the piezo sensor and processed by the microcontroller using Fast Fourier Transform (FFT) to determine the frequency value of the shock. The data is then sent to a gateway via a sensor network and uploaded to the Cayenne monitoring website. Operators can then view the data on the website. Three sensor nodes are implemented in this study. The test is done by placing those sensor nodes together in random positions. A shock is then given to the three sensor nodes, and the resulting data is then observed. The results show that the three sensors can detect, retrieve, process, and send shock data to the Cayenne monitoring website

Improving SCADA Security using IDS and MikroTIK

Industries have realized that SCADA System was built without considering the security aspect. It was believed that there are no attacks to the scada plant. Unfortunately, in this era, SCADA network needs to be connected to the Internet to increase its performance. In this case, the protection of Supervisory Control and Data Acquisition (SCADA) is needed against cyber-attacks. Much research has seen the big lost as cyber-attack happens at critical infrastructure. In this research, we simulated a test bed environment of SCADA system to monitor and mitigate the attack as well as give fast response report to the operator. We used Network Based Intrusion Detection System using SNORT rule, which is integrated with MikroTik for Deep Packet Inspection (DPI). This system inspects all traffic data going through the scada system. Results from the experiment show that the testbed environment was able to detect attacks effectively and efficiently

Secured Communication Among HMI and Controller using RC-4 Algorithmand Raspberry Pi

In the beginning the implementation of a plant with SCADA technology, the network is formed isolated from the outside network (LAN or Internet). So it can be ascertained that the communication that occurs on the SCADA network is safe from the threat of crackers. In fact, SCADA network allows it to be connected to the Internet, so that the data of the plant can be monitored via the Internet, so the information about the state of the plant can be monitored in realtime and can be taken quickly if it is known there are anomalies on the control system. In the research we designed a method of encryption and decryption against the lines of communication between the HMI (Human Machine Interface) and the Controller on an industrial minipant contained in Lab CSRC IT Del. Raspberry Pi is used as a gateway between the HMI and the Controller. While Algorithm RC 4 are used as the algorithm for encrypting data between the HMI and the Controller. In the results, we can use the Rapsberry Pi to secure the communication between the HMI and Controller