Self-driving cars: the future of authentication protocols

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

Self-driving cars promise future accident-free roads. Making the new mobility ecosystem resilient and secure means tackling a variety of cybersecurity issues, as various innovations expose service providers, car manufacturers and passengers to data breaches.

Data challenges

A large amount of data will be available that presents opportunities and challenges regarding privacy, data security, and data analytics. Secure authentication is required to resolve security issues.

Let’s go deeper into the challenges posed by new technology, ie. Self-driving cars.

Data security

Data security can suffer a variety of security threats when self-propelled vehicles will dominate personal mobility. Some hackers and authorized parties can capture data, incite attacks, and alter records. There are chances that they could provide drivers with false information or use denial-of-service attacks.

This shows that system safety will become the most important issue of transport systems, along with the successful implementation of sensor-based vehicle unification.

A security system that can protect against such threats includes data disinfection (deletion of identified data) and data suppression (reduction of sampling frequency). They can aggregate data probably in vehicles, instead of the vehicle transmitting large amounts of raw information to them. They could take advantage of vehicle authentication, hardware protected from unauthorized use, encryption and real-time restrictions.

Upcoming threats to personal privacy

With the increasing use of autonomous and connected vehicles, maintaining individual safety in the transport system has become more challenging. Although the increasing use of real-time monitoring, detection, and assessment of behavior creates new privacy issues, the benefits of in-vehicle communication technologies and sensors have made them an attractive search for stakeholders.

Data aggregation and analytics

The privacy of individuals is most likely to be compromised by collecting data on public locations, rather than by combining data with their personal data. Current laws are not adequately implemented to address new technologies and the data industry.

For privacy reasons, consumers can advocate for greater transparency among data intermediaries and the disclosure of collected data. Some of the issues that need to be addressed are:


Establish risk-oriented control on the most sensitive assets, with optimized costs.


Create monitoring solutions that can target critical business processes. Data integration can help them with alert rich contexts to create a simplified process.