Auto Manufacturers Data Security through Cloud Platforms
Could automakers share their data?
Data sharing is driven by a desire to drive efficiency and productivity, as well as innovation through their use. Cloud computing, the Internet of Things (IoT), big data, blockchain, and other digital technologies are used. The European Union now encourages the practice. Gaia-X and the European data strategy demonstrate the importance of data management across borders.
The digitalization of production lines (use of digital tools, networking of machines, data collection/analysis) in addition to the digitization of the entire value chain generates growing amounts of data as a result of the digital transformation of industry. IoT sensors, embedded software, and other IoT components collect all of these data.
The goal of manufacturers is to maximize the efficiency, autonomy, and adaptability of factories by leveraging this wealth of data, especially thanks to artificial intelligence and machine learning.
Blockchain technology, cloud platforms, and privacy enhancement technologies
It reflects an important data-sharing building block, which involves combining data from multiple sources into a single repository. As a result, the initiator of the project creates a platform and services for storage, analysis, and data exchange, depending on the cloud provider and its management.
Participation is then open to other organizations. With a lot of advantages, there is a major issue concerning cloud data security. This concern is addressed by many giants working in the cloud industry, namely CipherCloud, Vormetric and other allied companies.
It’s not easy to do. Trust and security issues make sharing business data difficult. Many companies are wary of disclosing sensitive information and losing the power of negotiation or competitive advantage. The price generated for their data may run away, or they may lose control of it.
It is necessary to minimize the use of external data transmissions. Cybersecurity should be respected by all. As a distributed, transparent, shared, and secure registry that provides one-size-fits-all, shared truth, blockchain technology can solve some of the trust issues. This is particularly useful in supply chain tracking.PET stands for Privacy Improvement Technology.
To streamline data protection and usage, they generally enable users to combine their data without defining its content for analysis.
Making the result hidden, so that only the owner of the data can delete it. Participants in a data platform should define control models; general rules for accessing and using data that ensure automotive security, compliance, and regulatory compliance, and ensure the efficient distribution of value produced. “Data trust” is one solution that some consider interesting.Examples of industries – automobile
Even more complicated is the car supply chain.
There are many suppliers around the world that supply spare parts to manufacturers. The cross-docking process is a method of programming logistics streams. Flows that transport goods from the lift stop to the altar of the car industry. That relies on a network of transmissions and logistics systems, departure points, without passing through a warehouse. Due to this, various examples of enterprise data-sharing platforms have been provided.
Volkswagen’s cloud computing platform, developed in collaboration with AWS.
Siemens, modeled after the app store model, is aiming to become a marketplace. A place where participants can suggest or select solutions to improve industry production and logistics.
Cloud computing is a future technology. Cloud technologies and solutions are also becoming more important to telecommunications service providers as they begin to implement virtualization of network functions
In 2010, Microsoft and BMW introduced a similar security platform. With Azure IoT, enterprise solutions, and open data models, this technology architecture enables the development of connected industry solutions.
Among the major car, manufacturers collaborating in Surgere’s AutoSphere are Toyota, Fiat, General Motors, and Fiat. The company offers software and application solutions based on sensor technologies. Like RFID markers on reusable boxes, which enable the collection and analysis of business data at every level of the supply chain.
A platform that integrates multiple clouds
ExtNOC’s managed multi-cloud services provides highly secure network architecture. So your data and processes will be much more secure and reliable.
Production lines that emit carbon dioxide
Carbon emissions are a function of anthropogenic activity and the level of industrial progress.
For immediate and significant emissions reductions, shut down the cement industry, the steel and aluminum industries and auto and airplane manufacturing. That’ll do it but there will be quite a few people going hungry and losing their houses!
Nearly all major auto manufacturers are making electric cars right now and have plans to make nothing but electric cars sometime in the future. Of course, we are seeing the legent Tesla in 2022 already!
Electric cars do have one feature found only in battery-powered cars could have an impact on safety. Indeed, automated electric cars are much more prone to hacking than conventional internal combustion engine vehicles
People are increasingly choosing to buy electric vehicles, whether they are new or used. It is feared that they may be particularly vulnerable to hacking. Cars like the Nissan Leaf have particularly fragile locking mechanisms to begin with, making them prime candidates for targeting by thieves.As part of the GAIA-X ecosystem, NTT Com announced a successful pilot of industry data sharing in 2021. Among Japan, Germany, and Switzerland on a model platform that uses the International Data Spaces (IDS) standard.
However, as vehicle architectures evolve, the ways that both security and safety can be addressed at the system-on-chip (SoC) level also must evolve.
The study shows that sharing data with industry data can help reduce the carbon footprints of different industries.