The search for fully autonomous cars is like the “holy grail”. The Biomater system and artificial intelligence have helped car manufacturers implement and develop autonomous and connected vehicles.

Driverless cars promise accident-free future roads. Making a new mobility ecosystem resilient and secure means wrestling with various cybersecurity issues as different innovations expose providers, automakers and passengers to a data breach.

data challenges

There will be a vast amount of data available presenting 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 when autonomous vehicles dominate personal mobility. Some hackers and authorized parties can capture the data, instigate attacks and alter records. There are chances that they could provide false information to drivers or use denial of service attacks.

This shows that system security will become the quintessential issue for transportation systems alongside the successful deployment of junction sensor-based vehicles.

System security that can protect against such threats includes data sanitization (removal of identified data) and data suppression (decrease in sampling frequency). They can probably aggregate data within 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 tracking, sensing, and behavioral assessment creates new privacy concerns, the advantages of communication technologies and vehicle sensors have made them an attractive pursuit for stakeholders.

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 adequately used to address new technologies and the data industry.

Consumers, for privacy reasons, can advocate for more transparency between data brokers and disclosure of collected data. 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.