Paul Danquah

Henry Matey Akwetey, Paul Danquah, Godfred Yaw Koi-Akrofi et al.

A technology platform that is gradually bridging the gap between object visibility and remote accessibility is the Internet of Things (IoT). Rapid deployment of this application can significantly transform the health, housing, and power (distribution and generation) sectors, etc. It has considerably changed the power sector regarding operations, services optimization, power distribution, asset management and aided in engaging customers to reduce energy consumption. Despite its societal opportunities and the benefits it presents, the power generation sector is bedeviled with many security challenges on the critical infrastructure. This review discusses the security challenges posed by IoT in power generation and critical infrastructure. To achieve this, the authors present the various IoT applications, particularly on the grid infrastructure, from an empirical literature perspective. The authors concluded by discussing how the various entities in the sector can overcome these security challenges to ensure an exemplary future IoT implementation on the power critical infrastructure value chain.

Henry Matey Akwetey, Paul Danquah, Godfred Yaw Koi-Akrofi

The increasing critical dependencies on Internetof-Things (IoT) have raised security concerns; its application on the critical infrastructures (CIs) for power generation has come under massive cyber-attack over the years. Prior research efforts to understand cybersecurity from Cyber Situational Awareness (CSA) perspective fail to critically consider the various Cyber Situational Awareness (CSA) security vulnerabilities from a human behavioural perspective in line with the CI. This study evaluates CSA elements to predict cyber-attacks in the power generation sector. Data for this research article was collected from IPPs using the survey method. The analysis method was employed through Partial Least Squares Structural Equation Modeling (PLS-SEM) to assess the proposed model. The results revealed negative effects on people and cyber-attack, but significant in predicting cyber-attacks. The study also indicated that information handling is significant and positively influences cyber-attack. The study also reveals no mediation effect between the association of People and Attack and Information and Attack. It could result from an effective cyber security control implemented by the IPPs. Finally, the study also shows no sign of network infrastructure cyber-attack predictions. The reasons could be because managers of IPPs had adequate access policies and security measures in place.