The search for fully autonomous cars is like the “holy grail”. The Biomater system and artificial intelligence have helped automakers implement and develop autonomous and connected vehicles.
Driverless cars promise future accident-free roads. Making a new mobility ecosystem resilient and secure means grappling with various cybersecurity issues, as different innovations expose providers, automakers, and passengers to a data breach.
data challenges
There will be a large amount of data available that presents opportunities and challenges related to privacy concerns, data security, and data analytics. Strong authentication is required to address security issues.
Let’s delve into the challenges posed by this new technology, that is, autonomous cars.
data security
Data security may suffer from various security threats as autonomous vehicles dominate personal mobility. Some hackers and authorized parties can capture the data, instigate attacks, and tamper with records. There are chances that they may provide false information to drivers or use denial of service attacks.
This shows that system security will become the quintessential issue for transportation systems along with the successful deployment of bonding sensor-based vehicles.
Security systems that can protect against such threats include data sanitization (removing identified data) and data suppression (lowering the sampling rate). They can probably add data inside the vehicles instead of the vehicle transmitting large amounts of raw information. They could take advantage of vehicle authentication, tamper-proof hardware, encryption, and real-time restrictions.
Upcoming threats to personal privacy
With the increased use of autonomous and connected vehicles, maintaining individual safety within the transportation system has become more challenging. Although the increased use of real-time behavioral tracking, detection and assessment creates new privacy concerns, the advantages of vehicle communication technologies and sensors have made them an attractive pursuit for interested parties.
Data aggregation and analysis
Individual privacy is more likely to be at risk with the collection of public location data than with the aggregation of information with your personal data. Current laws are not used adequately to address new technologies and the data industry.
Consumers, for privacy reasons, may advocate for greater transparency between data brokers and the disclosure of data collected. Some of the issues that need to be resolved are:
Security
Establish risk-focused control over the most sensitive assets along with optimized cost.
Surveillance
Create monitoring solutions that can target critical business processes. Data integration can help them with context-rich alerts to create a streamlined process.