Logistics

Smart Logistics, Product Safety and Regulatory Compliance with IIoT

asvin BeeHive IoT update cybersecurity management for quantifiable digital transformation investment

Supply chains are subject to both internal and external risks and managing most of these extends beyond the control of IoT devices. Sensors assure the data necessary for managing logistics related to the physical plant, regulatory compliance, product safety, mitigating liability, and providing the supporting documentation for insurance claims. As such, the resilience, accuracy, and validation of software, firmware, and the related updates of individual sensors or IIoT device fleets become mission-critical.

Challenges

Cybersecurity and Integrity for Sensors and IoT Devices

Sensor applications in logistics are a means of ensuring that shipments do not fall prey to physical manipulation or advanced cyberattacks on operating systems and data transmissions. IIoT devices and tags that provide smart track and trace solutions while moveable goods and freights are in transit are all too often accessible to unknown parties and must be protected.

Reliable Operations Optimizes Costs

IoT-based monitoring and tracking solutions are capital investments designed to improve efficiencies and establish a strategic advantage. A business case must be made to justify related expenses and the costs and projected savings must be calculable with the resulting Return on Investment (ROI) for reliable operations far exceeding a breakeven posture.

Providing Device Data and Management of Device on low or less connectivity

Regardless of brutal physical treatment and extreme environmental conditions, Logistic IoT solutions must continue to optimally perform their designated functions. Due to a wide variety of device bandwidth connections recognizing device malfunctions and preventing cyberattacks is problematic.

Mitigate Risks on IoT-based Data

The malfunction or manipulation of IIoT track and trace sensors must be detected, isolated, and corrected quickly to ensure sourcing and processing data is unimpeachable because the data generated is used to reduce risks and necessary for the approval of payouts related to liability claims.

Solutions

asvin Beehive: Manage, Update, and Control Device Fleets

asvin’s Beehive is an easy-to-use intuitive online platform that ensures administrative control and provides an overview of your organisations’ Internet of Things devices in operation. asvin Beehive allows organisations to establish user groups and define roles to manage and control tasks such as blacklisting and whitelisting fleet devices, gain access to the telemetric data of specific IIoT devices and plan maintenance actions for groups of specific IoT devices. asvin Beehive can be integrated into Smart Logistics architectures and platforms via open standards such as JSON, MQTT, OPC UA, and REST.

asvin Ant Street: Over-The-Air Updates and Patch Distribution

Plan, schedule, and rollout distribution of updates and security patches to IoT device fleets via asvin’s cryptographically secure and distributed just-in-time by decentralized technology (DLT) Ant Street. Updates are cascaded to the right device within predetermined scheduled maintenance windows. asvin’s Ant Street supports OTA updates for IoT-specific RF protocols as LoRaWAN, 5G, and NB-IoT, to name just a few.

asvin Paw Print: Unique IDs and Fingerprints for IoT Devices, Software, and Firmware

Create and store unique IDs for IoT devices and their related hardware and software with physical unclonable functions (PUF) and trusted platform modules (TPM) for embedded systems in an immutable DLT for maximum resilience.

asvin Trackhound: Software Supply Chain Tracking

asvin’s Trackhound brings transparency into the software supply chain. From initial device installation and software deployment, subsequent OTA updates, and security patch distribution to forensic audits, Trackhound allows administrators to increase network security and ensure software integrity. Track and trace the entire software supply chain and life cycles for IoT device fleets.

asvin Eagle Eye: Risk Management, Monitoring, and Alarming

asvin’s Eagle Eye renders continuous monitoring of IoT device fleets. Using advanced machine learning analytics (AI) asvin’s Eagle Eye provides anomaly detection to ensure network and individual registered device integrity. In the event of a cyber-attack or operational dysfunctionalities, Eagle Eye’s risk management and alarming protocols are triggered and support counteraction including isolation of vulnerable devices. Fulfills ISO/SAE 21434 industrial cybersecurity standards and provides critical documentation for insurance coverage and claims and to limit liability.