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The CAN bus is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other’s applications without a host computer.
The objective is to sell this as a comprehensive solution called vSentry that includes AI-enabled software, the installation of equipment, and staff training.
The project required a strong security layer and a complete understanding of the vehicles’ data encryption processes. To meet the client’s needs, the NIX team set out to develop an application that will monitor the status of various vehicles, analyze incoming data, and prevent potential attacks or hacking attempts. We needed to implement a web application that would allow the handling of errors that come from the controller area network (CAN) bus vehicles in real-time.
* The CAN bus is a robust vehicle bus standard designed to allow microcontrollers and devices to communicate with each other’s applications without a host computer.
One of the requirements was that the app should support the microservice architecture, and we needed to realize how it should communicate with all other modules within a large system. Also, all the messages coming from the CAN buses must be stored on the application side, which implies a huge data stream.
The AI-based software establishes a baseline for vehicle behavior by training the machine learning model with a clean dataset. Once the baseline is established, the AI engine monitors data coming from vehicles on the road and identifies function anomalies as potential cyberattacks or malfunctions. Using raw vehicle data, it precisely detects abnormalities and decreases the chances of false-positive alerts.
For example, when a vehicle is attacked, vSentry channels information (different vehicle metrics) through the security software to a CAN bus that receives all incoming data. It reads a variety of signals and sends them to the cloud, where the AI engine analyzes the data and determines the type of cyber attack and its details. This information is then transmitted to a web application that depicts reports and metrics for further processing by a security analyst.
Moreover, the system includes various statistics, configurations, training, and other services.
To ensure resistance, sustainability, and the handling of high data load, we used a timescale database. Later we added modules that allowed us to:
The system’s architecture consists of external and internal modules:
The client received a high-security web application that ensures vehicle safety while protecting personal data and privacy in real-time.
Powered by AI, machine learning, and deep learning, vSentry provides real-time vehicle insights to automakers and fleet owners and helps them reduce warranty costs, minimize vehicle downtime, decrease the total cost of ownership, and optimize vehicle performance.
“We didn’t have enough manpower or the capacity to complete a specific project, so we hired NIX to augment our staff. We started in April 2019, and we’ve been working with NIX on an ongoing basis. Headed by a knowledgeable project lead, the team is experienced and professional. The project manager heads the staff and demonstrates a really high level of expertise. We’ve been impressed by the NIX team’s expertise and we plan to continue working with them”.
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