Use Cases Automotive Tamper Detection

Tamper Detection

Tamper detection technologies enable a device to detect and initiate appropriate defensive actions against active attempts to compromise the device integrity or the data associated with the device. The tamper detection design can be implemented to sense different types of tampering, depending on the anticipated threats and risks. The solutions used for tamper detection typically include a suite of sensors specialized on a single threat type together with an alert mechanism, which can be audible or sent to a monitoring system. Typical threat types include physical penetration, hot or cold temperature extremes, input voltage variations, input frequency variations, and x-rays.
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Secure and Cloud-based Data Marketplace
Secure and Cloud-based Data Marketplace
The great promise of new connected concepts of industry like 'Industry 4.0' is their ability to deliver a historically unparalleled level of responsiveness and flexibility. While modern supply chains are already heavily integrated and designed to be fluid and fast moving, a large swathe of manufacturing still remains beholden to economies of scale, large production runs, and careful preplanning.The Industrial Internet of Things (IIoT) is set to change this by allowing small-batch or even custom manufacturing on a truly industrial scale. With machines whose functions are not set in stone, but flexible and determined by their operating software and with a new form of connectivity bringing industrial engineers, product manufacturers, and end users closer together than ever before. Ad-hoc adjustments to automotive parts, for example, during active product runs or the bespoke manufacturing of custom sneakers become very viable options indeed.Much of this remains a theoretical vision, but IUNO, the German national reference project for IT security in Industry 4.0 demonstrates the new capabilities in action with a secure technology data marketplace running a smart drinks mixer.
Securing the Connected Car Ecosystem
Securing the Connected Car Ecosystem
In-vehicle communications and entertainment system hosts high-value or sensitive applications. API libraries facilitate communication and sharing of vehicle data. These API libraries are vulnerable to reverse engineering and tampering attacks and may even result in loss of passenger safety. Attackers can inject malware that may be able to migrate to other in-car networks such as the controller-area-network (CAN) bus which links to the vehicle’s critical systems. Software provided for dealers to interface with cars through the OBD2 port is vulnerable to reverse engineering and tampering attacks. Hackers may be able to abuse these tools to inject malicious code into the ECUs and CAN bus. Attackers can lift the cryptographic keys used, and use that to build their own rogue apps/software. Their cloned version of the original app/software may have altered functionality, and may intend to gain access to other in-car networks.
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