Here’s How Security Can Drive Automated Vehicle Innovation

As director of strategic planning and production management for Intel’s Transportation Solutions Division, one thing I am particularly excited about these days is the future of automated vehicles. Advances we’re making in connected car technologies have tremendous potential to change our lives and societies for the better. Just imagine it: zero accidents, reduced congestion in the world’s most polluted cities and mobility for all.

Here at Intel, we’ve identified three key pillars that will guide us on the road to an automated vehicle future: the car (including in-vehicle computing and human-machine interfaces, or HMIs), the cloud and data center, and the communications that connect them, specifically 5G. Paramount to each of these pillars is security.

Yet while opportunity awaits, many automakers are still struggling to fuse together automated vehicle platform security. Today’s operating systems and automotive applications can have more than 100 million lines of code, making it challenging for an automaker to ensure that software is secure. Usually, there is an expectation that software will have a defect rate of 0.75 per function point, of which some percentage will cause security vulnerabilities. Agile product life cycle methodologies allow for collective learned enhancements (like maps, traffic data, parking and enhanced visual and cognitive acuity via deep learning updates), security patches and service upgrades with secure software over the air (SOTA) updates.

 

Architecting Security

An automated BMW dashboard with hands-off steering.

The Intel ecosystem is working to build resilient security and in-depth architecture, starting at the silicon level and extending to the operating system. Together, we’re protecting communication channels between devices and to the automotive data center for trusted software updates and secure downloads of maps and other navigational information. This fits right into what I consider to be some overall best practices for designing a secure automated driving environment. Along with that, we’re analyzing risk, combining functional safety and security teams, and architecting for requirements.

People can sometimes underestimate how broad a topic automotive security is, from initial design phases through manufacturing and production. By starting early and doing a holistic analysis, you can analyze threats and identify risks, then you can prioritize those risks and focus on hardening your architecture and solution. But it’s an industry and ecosystem challenge. No single company can solve automotive cybersecurity on its own.

 

Securing the Ride

A stock image tries to recreate the mood of Michelangelo's "The Creation of Adam" by having a person touch a computer screen.

Historically, all existing security technologies evolve to address threats of their time. For example, intrusion detection systems (IDS) evolved in the 1980s in response to the proliferation of viruses and worms on personal computers, and public key cryptography was invented in the 1970s to secure network communications.

Today, we are doing research into new security technology that can help protect cyberphysical systems. This new technology will allow detection of security failures and will be able to self-recover or self-heal. It will also incorporate elements of artificial intelligence to create necessary levels of resiliency.

 

Driving toward the Future

A man lets his new road trip buddy, his automated vehicle, take over the driving.

Looking ahead, we are setting new standards and defining future architectures for safe, secure transportation that spans the vehicle, communications and data center. With cross-company technology and product leadership across IoT, data center, Intel Security, Wind River Systems, Intel Labs, and our new acquisitions of Nervana, Arynga, Itseez and YOGITECH in particular, Intel is uniquely positioned to prepare automakers and suppliers for the amazing future of transportation. And with our continued commitment to scalable, end-to-end security solutions, the Intel IoT ecosystem is providing layered protection from chip to cloud for a safer tomorrow.

To learn more about the road ahead for connected transportation, visit intel.com/automotive. For more on Intel IoT developments, subscribe to our RSS feed for email notifications of blog updates, or visit intel.com/IoTLinkedInFacebook and Twitter.

 

Craig Hurst

About Craig Hurst

Craig Hurst is the Director of Strategic Planning and Product Management within Intel’s Transportation Solutions Division. He is responsible for transportation HW and SW roadmaps, ecosystem strategies, GTM plans and overall platform success across the connected transportation and logistics, software defined cockpit, and Advanced Driver Assistance Systems (ADAS) and Autonomous Driving segments. Craig’s team is responsible for both the long term vision and strategy that maximize market value for safer and smarter driving as well as the near term product management and delivery of products that thrill and excite customers. Craig has held various director roles for strategy, marketing, and product management at Intel in divisions ranging from SW developer products, healthcare devices, and networking. His passion is to inspire innovation for new products, segments, and business models. In his ~20 years at Intel, Craig has helped deliver dozens of new products to market, many winning industry awards (including Intel’s first direct to consumer retail product, the world’s first UPnP certified residential gateway, Intel’s first FDA approved product, and Intel® RealSense™ Technology). When not at work, Craig enjoys fishing, waterskiing, travel, and perfecting a new BBQ or kitchen recipe. Craig holds a BSEE from Seattle University, and Certificate of Business Excellence from U.C. Berkeley.

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