Meet CAV, the car of the nearest future

Connected autonomous vehicles (CAV) are soon to replace motorcars and trucks on the roads. We’ll most likely not own them, but enjoy "mobility-as-a-service", renting cars, or sharing cars and expenses with other people that travel the same route, the recent research by Intel states.

It also states that "around 585,000 lives could be saved due to self-driving vehicles between 2035 to 2045". And that "pilotless vehicles will free more than 250 million hours of consumers’ commuting time per year in the most congested cities in the world".

But CAVs also open a new page in the history of Big Data and privacy. An averagely driven for 1 hour a day car will use 4000 GB of data daily. An average person nowadays uses about 650 MB per day.

Of course, most of it will be technical data about roads, maps, weather conditions, other cars and various elements the car has to interact with.

But it also will contain data about users: credit card numbers, home and work address, a lot of sensor readings, including biometrics (voice, face, fingerprints). As the report puts it, "The “who, what, where and when” of our lives will be captured and stored".

Tesla, for example, states in their privacy policy that opting out of sharing data like, for example, location, camera images and video clips, may cause "reduced functionality, serious damage, or inoperability", including the disabling of software and firmware updates.

Marketers already rub their hands in anticipation:

For example, by collecting the data related to traffic, driving patterns, and driver behavior during their journey, retailers will be able to determine their stores’ footprint and inventory more accurately. They will also be able to segment the type of customers driving in front of their stores to create highly focused marketing campaigns. The data will further tailored advertisements and promotions.

Consider this scenario in a not-so-distant future: You are driving home from a long and tiring day at the office. You are about to pass a Taco Bell. Your car may display or even play an audio message asking, “Are you hungry? Would you like to stop at the Taco Bell just 2 minutes away from your current location? Say yes if so.” Your car may even be able to place a customized order on the go and make the payment as well. All you'd need to do is grab your burrito at the checkout counter or in the drive-thru.

It’s going to be quite a challenge for ad blockers to protect CAV users from marketing pressure. Tracking prevention might stop to be an option since it is essential for car functioning. Besides, if you don’t own the car and just use it, you have very limited possibilities of administering it.

Probably our concept of "the future ad blocker" is after all what we will need. A digital personal assistant that hides and disguises you, so that you would not spend all your money on Taco Bells since it is now so always at hand.

There are other security issues associated with CAVs. They can be, for example, remotely controlled by hackers or their own vendors. But most CAV users will suffer from less serious trouble, and, as usually, will mostly cause it by their own hands. By installing dubious apps that steal their data, by using weak passwords. By forgetting to log out or wipe their data from a shared car after it is used. By neglecting antiviruses and other security measures.

The bright side here is that as a part of the data economy autonomous shared cars will probably be quite inexpensive and more affordable than the 20th-century automobiles.

Ludmila Kudryavtseva on The More You Know
March 13, 2018
Comments are powered by Disqus. By downloading the comments you agree the terms and policies of Disqus
February digest: all the most important industry news

The ancient proverb about a mountain that gave birth to a mouse fits perfectly to describe the events of this February in ad blocking. Google started blocking ads in Chrome! We've been waiting for it for about half a year!

Trying hard not to steal your password, they still steal

The analytic software is a greedy monster that devours all the data it can get, no matter how sensitive and private. And no matter if the company owning the software even has a clear plan of making money out of these data. Sometimes they just get trouble instead of profits.

For example, this February, mobile web analytics provider Mixpanel caught itself (and it’s SDK users) collecting user passwords that people typed into forms on sites. Mixpanel soon announced the bug fixed. But, as researchers say, it keeps saving passwords from input fields on some sites even after the patch was released.