Driverless cars may be a thing of the future, but connected cars aren’t, so the entire automotive information security ecosystem has to be locked down, says PAUL WILLIAMS, Fortinet country manager for SADC.
Driverless cars, now being tested on public roads in countries such as the United Kingdom, France, and Switzerland, may be a futuristic dream in South Africa. But connected cars with inbuilt intelligence, and digitally-enabled public transport, are already here; presenting multiple potential security risks to motorists, manufacturers and automotive partners.
On the road to the intelligent driverless car of the future, we are already connecting vehicles and equipping them with a range of intelligent features. These connected, intelligent systems gather potentially sensitive information and communicate it with a control or command centre. Point of sale information, entertainment and online services delivered within the vehicle have to be secured. As we advance toward fully autonomous vehicles, controls including steering, braking, engine management and navigation will depend on a fully secure ecosystem supported by a reliable 3G/4G/5G and Carrier Wi-Fi connection, to function safely.
Effectively securing this ecosystem will depend on close collaboration between vehicle manufacturers, application developers, service providers and carriers. In South Africa, achieving self-driving cars will also depend on expanded Mobile or Wireless coverage across towns, cities and the country. Efforts are already being made internationally for automotive, IT and security stakeholders to work together more closely to ensure a fully secure environment for self-driving and connected cars, but their efforts will have to intensify as the pace of smart car development picks up.
Incorporating more and more technology into a vehicle, whether for improving the customer’s driving experience or enhancing the vehicle’s performance, must be balanced with the management of their potential threats and risks. Ensuring that appropriate and effective security technologies are implemented within these systems must be a mandatory objective, even if it’s not (yet) a regulatory requirement.
Additionally, a growing problem with many IoT devices is that they use common communications programs that have no security built into them at all. As a direct result, an alarming number of IoT devices to date have been highly insecure. We need to achieve better for autonomous cars than what is the current IoT benchmark today.
At the same time, manufacturers must work with their different technology and communications suppliers, across all of the territories where their vehicles are sold, to ensure that any network connections to the vehicles are appropriately hardened.
Automotive security can be addressed as three distinct domains that may make use of similar techniques in some instances, and require novel treatments in others.
- Intra-vehicle communications. Smart vehicles will have several distinct on-board systems, such as vehicle controls systems, entertainment systems, passenger networking, and even third-party systems loaded on-demand by owners. To a certain extent, these systems will need to engage in “cross-talk” to bring new services to life, but this cross-talk needs to be closely monitored and managed by systems such as firewalls and Intrusion Prevention Systems (IPS) that can distinguish between legitimate and normal communications and illicit activity in the car’s area network.
- External communications. Many, if not all on-board systems will have reasons to communicate to Internet-based services: for manufacturer maintenance, for software updates, for passenger Internet access, for travel and driving instructions, for service requests, to purchase items or services, or to backup data. External communications will very likely be both “push” and “pull” – they may be initiated either from inside the vehicle, or to the vehicle from a manufacturer or the Internet. This also means that traffic to and from the vehicle will need to be inspected and managed for threats and illicit, defective, or unauthorized communications using firewalls and IPS-like capabilities.
- Next, the connectivity infrastructure used by a vehicle will likely be based on well-established cellular networks, such as 3G/4G/5G and Carrier Wi-Fi data services, but with a twist. While these wireless services already provide connectivity to billions of smart phones and other devices around the world today, they also suffer from inconsistent security. Smart, driver-assisted, or even driverless vehicles will raise the stakes significantly. A directed attack on or through the “connected” network could trigger significant, safety-critical failures on literally thousands of moving vehicles at the same time. Securing “the connected” networks providing critical vehicle communication will require a thorough review in light of such potential catastrophe.
- Finally, high-assurance identity and access control systems suitable and designed for machines, not people, will need to be incorporated such that: cars can authenticate incoming connections to critical systems, and internet-based services can positively and irrefutably authenticate cars and the information they log to the cloud, or transaction requests they may perform on behalf of owners – such as service requests or transactions to buy fuel or pay tolls.
Unless efforts are stepped up to secure the entire automotive environment, Gartner’s vision of driverless vehicles representing approximately 25 percent of the passenger vehicle population in use in mature markets by 2030 will be fraught with new risks.
From a hacker’s perspective, connected and driverless cars will represent yet another opportunity to wreak havoc by remotely accessing a vehicle and compromising one of its onboard systems, resulting in a range of risks from privacy and commercial data theft, to actual physical risks to people and property.
Here are some attacks that are likely to be targeted at highly connected and autonomous cars:
Privilege escalation and system interdependencies: not all systems and in-car networks will be created the same. Attackers will seek vulnerabilities is lesser-defended services, such as entertainment systems, and try to “leap” across intra-car networks to more sensitive systems through the integrated car communications systems. For instance, a limited amount of communication is typically allowed between an engine management system and an entertainment system to display alerts (“Engine fault!” or “Cruise Control is Active”) that can potentially be exploited.
System stability and predictability: Conventional, legacy car systems were self contained, and usually came from a single manufacturer. As new autonomous cars are developed, they will very likely need to include software provided by a variety of vendors – including open source software. Information technology (IT), unlike industrial controls systems such as legacy car systems, are not known for predictability. IT systems, in fact, tend to fail in unpredictable manners. This may be tolerable if it is just a matter of a web site going down until a server re-boots. It is less acceptable in the event of a guidance systems being degraded even slightly when an adjacent entertainment or in-car Wi-Fi systems crashes or hangs.
Also expect to see known threats be adapted to this new target, expanding from common Internet platforms like laptops and smart phones an IoT device like an autonomous car. For instance:
Botnet Attack: The Botnet “robot” attack is on the increase to an extent of the endpoint is now becoming the victim, without them realizing the attack at first. This attack can be targeted to a single endpoint or a handful of machines, network and endpoints simultaneously, depending the severity of the attack. The infection takes place normally through malware, with a specific Trojan viruses which allows the cybercriminal to start controlling the environment. The answer is to ensure an Application control function, Botnet detection with IP Reputation and Distributed Denial of Service (DDoS) system is in place to monitor and defend against such attacks. If the driverless car is receiving email type messages or the same type of format, nothing stops this way of communication being compromise.
Ransomware: Ransomware is certainly on the rise on PCs and mobile phones. But driverless cars represent an almost ideal target. Imagine the following scenario: a hacker uses the in-car display to inform the driver that his car has been immobilized and that a ransom must be paid to restore the vehicle to normal operation. While a laptop or tablet may be restored relatively easily with potentially no damage, assuming backups are available, a car is a very different story. The owner may be far from home (the ransomware could be programmed to only launch when the car is a predetermined distance from its home base.) Naturally, few dealerships would be familiar with resolving this sort of problem, and specialist help would most likely be required to reset affected components. The cost of such a ransom is expected to be very high, and will likely take time. In the meantime, the vehicle may have to be towed. So the question is, what is the amount of the ransom demand that we expect to see? Estimates are that it is likely to be significantly higher than for traditional computer ransomware, but probably less than any related repair costs so that the car owner is tempted to pay.
Spyware: Perhaps a more attractive target for hackers is collecting data about you through your car. Driverless cars collect massive amounts of data, and know a lot about you – including your favourite destinations, your travel routes, where you live, how and where you buy things, and even the people you travel with. Imagine a hacker, knowing that you’re travelling far from home, sells that information to a criminal gang who then breaks into your home, or uses your online credentials to empty your bank account.
That last risk exists because your driverless and connected vehicle is likely to become a gateway for any number of electronic transactions, such as automatic payment of your daily morning coffee, or parking charges, or even repairs. With sensitive information stored in the car, it becomes another attack vector to obtain your personal information. And with RFIDs and Near Field Communications (NFC) becoming commonplace in payment cards, accessing their details through your car would be another way to capture data about you and your passengers.
And last but not least, there are legal and authenticity issues. Can we consider the location data of the car as authentic? That is, if your car reports you opened it, entered it, and travelled to a particular location at a certain time of the day, can we really assume everything happened as recorded? Will such data hold up in court? Or can this sort of data be manipulated? This is an issue that will need to be addressed. Similarly, if cars contain software from several different providers, and spends the day moving from one network to another, who is accountable or liable for a security breech and resulting losses or damage? Was it a software flaw? Was it negligent network management? Was it on-board user-error or lack of training?
Cars connect to traffic lights
New Jaguar Land Rover technology using Vehicle-to-Infrastructure (V2X) connects cars to traffic lights so drivers can avoid getting stuck at red and help free up traffic flow in cities.
The world’s first traffic lights were installed exactly 150 years ago outside the Houses of Parliament in London. Since then drivers around the globe have spent billions of hours waiting for green. With Jaguar Land Rover’s latest tech, however, their days could be numbered.
The Green Light Optimal Speed Advisory (GLOSA) system allows cars to “talk” to traffic lights and inform the driver the speed they should drive as they approach junctions or signals.
Widespread adoption of the V2X technology will prevent drivers from racing to beat the lights and improve air quality by reducing harsh acceleration or braking near lights. The goal is for the V2X revolution to create free-flowing cities with fewer delays and less commuter stress.
The connected technology is currently being trialed on a Jaguar F-PACE, as part of a £20 million (R371 million) collaborative research project.
Like all Jaguar or Land Rover vehicles today, the F-PACE already boasts a wide range of sophisticated Advanced Driver Assistance (ADAS) features. The connected technology trials are enhancing existing ADAS features by increasing the line of sight of a vehicle when it is connected via the internet to other vehicles and infrastructure. GLOSA is being tested alongside a host of other measures to slash the time commuters spend in traffic.
For example, Intersection Collision Warning (ICW) alerts drivers when it is unsafe to proceed at a junction. ICW informs drivers if other cars are approaching from another road and can suggest the order in which cars should proceed at a junction.
Jaguar Land Rover has also addressed time lost to searching for a parking space by providing real-time information of available spaces to drivers and developed an Emergency Vehicle Warning to alert motorists when a fire engine, police car or ambulance is approaching. The advanced technology builds on the connected systems already available on the Jaguar F-PACE such as Adaptive Cruise Control.
Oriol Quintana-Morales, Jaguar Land Rover Connected Technology Research Engineer, said: “This cutting-edge technology will radically reduce the time we waste at traffic lights. It has the potential to revolutionise driving by creating safe, free-flowing cities that take the stress out of commuting. Our research is motivated by the chance to make future journeys as comfortable and stress-free as possible for all our customers.”
The trials are part of the £20 million government-funded project, UK Autodrive, which has helped accelerate the development of Jaguar Land Rover’s future self-driving and connected technology. As well as strengthening the Midlands’ position as a hub of mobility innovation. Britain’s biggest car maker, headquartered in Coventry, is working on connected technology as part of its pledge to deliver zero accidents, zero congestion and zero emissions.
Connected technology will link the vehicle to everything around it, allowing seamless, free-flowing traffic that will pave the way for delivering self-driving vehicles.
Roborace reveals new vehicle
Roborace has given its fans a first look at what the new competition vehicle for Season Alpha will look like at the WebSummmit conference in Lisbon, Portugal.
DevBot 2.0 utilizes sensors similar to that in Robocar and is also fully electric, but has the addition of a cockpit for a human driver.
Season Alpha will see teams comprising of both a human driver and an AI driver. Lap times from the duo will be compared with that of other human + machine teams to determine a winner.
DevBot 2.0 will be launched in the new year but Roborace CEO Lucas Di Grassi has shared some first glimpses of what 2019 holds for the series in an interview on stage at WebSummit.
Season Alpha will see teams compete starting in Spring 2019 using the DevBot 2.0 vehicles to develop their automated driving systems, with professional drivers teaching the AI how to improve, as well as learning from the AI how to better their own performance.