The search for fully autonomous cars is akin to the “holy grail”. The Biomater system and artificial intelligence have helped automakers deploy and develop autonomous and connected vehicles.
Self-driving cars promise future roads without any accidents. Making a new mobility ecosystem resilient and secure means tackling various cybersecurity issues as different innovations expose suppliers, automakers and passengers to a data breach.
A large amount of data will be available, presenting opportunities and challenges related to privacy issues, data security and data analysis. Secure authentication is required to resolve security issues.
Let’s explore the challenges posed by this new technology, namely self-driving cars.
Data security can face various security threats when autonomous vehicles dominate personal mobility. Some hackers and authorized parties can capture data, trigger attacks, and modify records. Chances are they are providing false information to drivers or using denial of service attacks.
This shows that system security will become the epitome of transportation systems with the successful deployment of sensor-based vehicles.
The security system that can protect against such threats includes data cleaning (deletion of identified data) and data deletion (decrease in sampling frequency). They can aggregate data probably within vehicles instead of letting the vehicle transmit large amounts of raw information. They could take advantage of vehicle authentication, tamper-proof hardware, encryption, and real-time constraints.
Upcoming threats to privacy
With the increase in the use of an autonomous and connected vehicle, maintaining individual safety within the transportation system has become more difficult. Even though the increased use of real-time behavior monitoring, detection and evaluation creates new privacy concerns, the benefits of communication technologies and vehicle sensors have made them an attractive pursuit for stakeholders. .
Data aggregation and analysis
Most likely, the privacy of individuals is threatened by the collection of public location data rather than the aggregation of information with their personal data. Current laws are not being properly used to address new technologies and the data industry.
Consumers, for privacy reasons, can advocate for greater transparency among data brokers and disclosure of the data collected. Some of the issues that need to be addressed are:
Establish risk-based control over the most sensitive assets with optimized cost.
Create monitoring solutions that can target critical business processes. Data integration can help them with contextual alerts to create a streamlined process.
Source by Sharon Grogan