Cybersecurity in the Internet of Things in Industrial Management

Abstract

Nowadays, people live amidst the smart home domain, business opportunities in the industrial smart city and health care, though, along with concerns about security. Security is central for IoT systems to protect sensitive data and infrastructure, whilst security issues become increasingly expensive, in particular in Industrial Internet of Things (IIoT) domains. Nonetheless, there are some key challenges for dealing with those security issues in IoT domains: Applications operate in distributed environments such as Blockchain, varied smart objects are used, and sensors are limited in what comes to machine resources. In this way, traditional security does not fit in IoT systems. In this vein, the issue of cyber security has become paramount to the Internet of Things (IoT) and Industrial Internet of Things (IIoT) in mitigating cyber security risk for organizations and end users. New cyber security technologies / applications present improvements for IoT security management. Nevertheless, there is a gap on the effectiveness of IoT cyber risk solutions. This review article discusses the, trends around opportunities and threats in cyber security for IIoT.

Internet of things, big data analytics and operational performance: the mediating effect of supply chain visibility

“…Firms' use of IoT technologies such as RFID will enhance inventory control and monitor activities within factories and warehouses (Ben-Daya et al, 2019) and thus reduce the operational costs associated with these activities. In addition, using wireless sensor networks will enhance the reduction of spoilage within the supply chain (Rayes and Salam, 2016) and the control of sources of temperature, pollution and humidity, reducing costs associated with waste of resources and potential operational risks (Koohang et al, 2022;Raimundo and Ros ario, 2022). One of the techniques used to enhance performance within the supply chain is cloud computing technology, which helps firms store huge amounts of data, providing greater confidentiality and reliability of these data (Ben-Daya et al, 2019).…”