Self-driving cars: the future of authentication protocols

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.

Self-driving cars promise roads in the future without accidents. Making a new mobility ecosystem resilient and secure means struggling with various cybersecurity issues, as different innovations expose vendors, automakers, and passengers to a data breach.

Data challenges

A wealth of data will be available that presents opportunities and challenges related to privacy, data security, and data analytics concerns. Strong authentication is required to address security concerns.

Let’s delve into the challenges posed by this new technology, namely autonomous cars.

Data security

Data security can suffer from a variety of security threats when autonomous vehicles dominate personal mobility. Some hackers and authorized parties can capture data, instigate attacks, and alter records. There is a possibility that they could provide false information to drivers or use denial of service attacks.

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

The security system that can protect against such threats includes data sanitization (delete identified data) and data deletion (decrease sampling frequency). They can probably aggregate data within vehicles rather than having the vehicle transmit 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 increase in the use of an autonomous and connected vehicle, maintaining individual safety within the transportation system has become more challenging. Although the increased use of real-time behavior monitoring, detection and evaluation creates new privacy concerns, the advantages of communication technologies and vehicle sensors have made them an attractive search 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 greater transparency between data intermediaries and disclosure of collected data. Some of the problems that need to be solved are:

Safety

Establish risk-focused control on 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.