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The present-day electric power system is an evolving cyber-physical system. Researchers and industry players in the energy world continue to deploy new technologies towards making the electric power system a smarter grid. This involves the integration of information, communication, and control technologies into the existing power grid in order to improve its stability, security, and operational efficiency. Reliance of the modern power system's applications such as state estimation, sequential control and data acquisition (SCADA) systems, phasor measurement units (PMUs), etc. on open communication technologies including the internet has exposed the smart grid to various vulnerabilities, threats, and cyber-physical attacks. This chapter seeks to exploit the robust synergy which exists between artificial intelligence (AI) and fifth-generation (5G) technology to mitigate these challenges. A comprehensive review of techniques which have hitherto proven efficient and/or effective in mitigating identified challenges was carried out with a view to availing researchers of future directions.

This paper presents the design and implementation of a compact home security system. The use of security systems in today’s home where safety is an important issue cannot be over emphasized. The high crime rates and domestic hazards has brought up the need to take proper measures to prevent intrusions and hazards. It is in this regard that the design and implementation of a compact home security system based on the Global System for Mobile communication (GSM) comes in. Previous designs have used finger print protection, password protection, speech recognition, sensors with buzzer alarms, SMS and e-mail alerts but the designs were with so much complexities as well as at a cost disadvantage. The system presented here is of a minimal cost and simple design, it consists of one motion sensor, one temperature sensor, and one gas sensor.  The system was designed using the ATMEGA 8 microcontroller which controls the sending of SMS to the authorized number. The motion sensor (infrared) detects the movement of people entering the house and when there is a detection of an intruder the owner is notified through an SMS. The temperature sensor in this system also initiates an SMS to the owner when the temperature exceeds a particular value. The gas sensor also works in similar manner when it detects smoke and gas thereby sending SMS alert to the owner of the house. The respective sensors detected the compromise in each situation and sent the corresponding SMS to the user. This device therefore helps to prevent intruders, accidents arising from harmful gases and fire outbreaks in  homes, offices and industries.

This paper presents the implementation of an energy monitoring device using Arduino Nano microcontroller to measure the power consumed by any individual electrical appliance in residential homes. It is also designed with the capability of sending measured electrical power parameters through SMS to owners when a request is made. The electrical energy and power are calculated based on measurements taken by Allegro ACS712 Hall effect current sensor and measured voltage over a time period. A novel feature of this device is its ability to also determine the start-up current of inductive loads. The device come in handy for homeowners who want to monitor the energy consumption of some appliances to reduce associated electricity bills. In addition, it could also be used for an energy audit of residential homes.