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More than 20 million connected cars to ship with security technology by 2020

While traditional safety telematics services such as eCall, bCall, stolen vehicle tracking, and diagnostics aimed at the physical protection of vehicles, drivers and passengers are becoming main stream, awareness is growing about the threat of cyber-attacks and their impact on the physical integrity of persons, especially with Vehicle-to-Vehicle communication and autonomous vehicles, according to ABI Research (www.abiresearch.com).

This is prompting car OEMs [original equipment manufacturers] and Tier1 suppliers to source security technology, with more than 20 million connected cars forecasted to ship with software-based security by 2020, says the research group.

“So far connected car security has been mainly based on hardware protection and separation with infotainment and vehicle-centric safety systems shielded from each other. However, the shift towards cost-effective software-based security based on virtualization, containerization and sandboxing is well under way with Harman and Mentor Graphics as some of the leading vendors,” says ABI Research vice president and practice director, Dominique Bonte.

Cisco is partnering with Continental and Visteon to bring enterprise IT connectivity based security technologies such as Private Networks (VPN), IPsec, encryption and authentication (PKI) to an automotive industry lacking in-house expertise.
However, security is not just about technology, adopting end-to-end, balanced, and cost-effective risk management practices including security-based design procedures, frequency/severity analysis, audit and monitoring policies, and detection and assessment of vulnerabilities through self-induced cyber-attacks will be required to prevent malicious intrusions.

Security is also closely linked to the secondary effect of compromised privacy, a concern shared by governments (legislation initiatives) and consumers (a major barrier for connected car and autonomous vehicle adoption) and exacerbated by the sensitive character of geo-location data.

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