The search for completely autonomous cars is like "holy grail". Biomteric system and artificial intelligence have helped automakers deploy and develop self-driving and connected vehicles.
The self-driven cars promise future roads without any accidents. Making a new mobility ecosystem resilient and secure means battling with various cybersecurity issues, as different innovations expose providers, automakers, and passengers to a data breach.
A large amount of data will be available which present opportunities and challenges pertaining to privacy concerns, data security, and data analytics. A secure authentication is required to tackle security issues.
Let's get deeper into the challenges posed by this new technology i.e. Self Driving Cars.
Security system that can protect against such threats includes data sanitization (deleting the identified data), and data suppression (decreasing sampling frequency). They can aggregate data probably within the vehicles instead of having the vehicle transmit the large quantities of raw information. They could leverage vehicles authentication, tamper-proof hardware, encryption and real-time constraints.
Data security can suffer various security threats when self-driven vehicles will dominate the personal mobility. Some hackers and authorized parties can capture the data, instigate attacks and alter records. There are chances that they could provide bogus information to drivers or use denial-of-service attacks.
This shows that the system security will become the quintessential issue for the transportation systems along with successful deployment of uniting sensor based vehicles.
Upcoming Threats to Personal Privacy
With the increase in the use of an autonomous and connected vehicle, maintaining individual security within the transportation system has become more challenging. Even though the increase in the use of tracking, sensing, and evaluation of real-time behavior creates new privacy issues, the advantages of vehicles communication technologies and sensors have made them appealing pursuit for stakeholders.
Data Aggregation and Analytics
Most probably, individual privacy is at risk with the collection of public location data than by aggregation of information with their personal data. Currents laws are not adequately employed to address new technologies and data industry.
Consumers due to privacy reasons can advocates for more transparency among data brokers and revelation of the collected data. Some of the issues that are required to be resolved are:
Establish risk-focused control on the most sensitive assets along with optimized cost.
Create monitoring solutions that can aim at critical business processes. Integrating data can help them with context-rich alerts to create a streamlined process.
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Article Source: EzineArticles