The Industrial Internet of Things refers to the use of connected devices, sensors, and control systems to collect, control, share, and analyze data in industrial environments. This includes critical sectors like manufacturing, energy, utilities, and transportation, where process monitoring and optimization is crucial to sustained operation.

IIoT extends traditional industrial automation by connecting systems to networks and cloud platforms made to monitor and manage specialized infrastructure.

Industrial Control Systems (ICS)

ICS are hardware and software systems used to monitor, control, and automate industrial processes. Depending on the application, these systems may manage physical operations like power generation, water treatment, infrastructure. They can also be connected to industrial networks to enable remote monitoring and automation to ensure that processes run more safely, efficiently, and consistently.

Modern ICS are made up of one or more Programable Logic Controllers (PLCs), Supervisory Control and Data Acquisition (SCADA) units, Distributed Control Systems (DCS), and Human-Machine Interfaces (HMIs) in order to collect, monitor, manage, and interface with data. This allows industrial operators to store, remotely monitor, and ensure predictive maintenance for the broader IT infrastructure

Components of IIoT

1. Connected devices and sensors - industrial machines have sensors that measure fields such as:
   • temperature
   • pressure
   • humidity
   • energy consumption
2. Edge devices and gateways - processing data on-site using IoT devices and local servers:
   • Data preprocessing and filtration with minimal latency and bandwidth costs
   • Run local analytics
   • Send/receive relevant data to/from nearby systems
3. Industrial Control Systems
4. Connectivity through standard protocols:
   • Ethernet/IP
   • MQTT (Message Queuing Telemetry Transport)
   • Modbus
5. Analytics - collected data is analyzed to:
   • Predict equipment failure
   • Optimize production
   • Improve energy efficiency
   • Enhance safety

Identity and Access Management Considerations

By connecting operational technology to enterprise IT networks and cloud services, IIoT significantly increases the vulnerability of an industrial system to data breaches and unauthorized access. Weak identity controls can lead to infrastructure disruption and safety incidents that lead to production downtime, and unlike traditional IT systems, IIoT environments often involve shared and shift-based workstations, as well as a mix of industrial operators and automated systems. This complexity requires IAM strategies that address both operational safety and cybersecurity:

• Multi-Factor Authentication (MFA)
• Passwordless authentication (proximity-based authentication, smart cards, biometrics, etc.)
• Role-Based Access Control
• Least Privilege Access
• Zero-Trust Security
• Logging of authentication attempts, privileged actions, device connections, etc. for auditing purposes