IoT Device Isolation and Robot Transport for Malware Containment
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Solution Overview
Problem
Malware propagation from malware-affected IoT devices to industrial robots and other microprocessor-controlled machines in automated material handling environments poses a significant software security risk, particularly through Bluetooth or ultrasound signal transmission.
Innovation Solution
A system that evaluates malware scan reports of IoT devices before handling, disables wireless communication, and transports malware-affected devices to distanced locations to prevent propagation, using industrial robots to manage and trace malware-affected devices within the environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If malware scan and disablement procedures are implemented for IoT devices, then software security is improved, but device complexity and processing time increase
Solution Approach 1:
The system performs malware scanning and assessment actions before the IoT device is handled by industrial robots. By conducting security checks in advance (prior to material handling operations), the system prevents malware propagation without interfering with the core automated material handling processes, thus improving security while maintaining operational efficiency.
Solution Approach 2:
The patent introduces an intermediary assessment system that acts as a mediator between IoT devices and industrial robots. This intermediary layer evaluates malware risks and determines handling procedures without requiring direct integration between security systems and robot control systems, thereby improving security while avoiding excessive system complexity.
2Measurement precision
If malware scanning is performed on all IoT devices, then detection precision is improved, but processing time and productivity decrease
Solution Approach 1:
The system applies partial action by performing malware scanning selectively rather than universally. It focuses assessment efforts on IoT devices that pose higher malware risks or are prioritized in the material handling queue, achieving adequate detection precision without the full productivity loss that would result from scanning every device exhaustively.
Solution Approach 2:
By conducting malware assessments in advance before material handling operations begin, the system identifies and flags high-risk devices beforehand. This allows the material handling system to prioritize or isolate problematic devices, achieving good detection precision while minimizing disruption to overall productivity.
Data Source
AI summary
According to one embodiment, a method, computer system, and computer program product for preventing malware propagation. The embodiment may include identifying a malware scan report of an Internet-of-Things (IoT) device within an automated material handling (AMH) environment. The embodiment may include determining whether the IoT device is malware affected. In response to determining that the IoT device is malware affected, the embodiment may include disabling the IoT device. The embodiment may include instructing an industrial robot to transport the IoT device to a destination location within the AMH environment.