Cybersecurity in Autonomous Trucks | Automotive Trucks Cybersecurity
Cybersecurity in Autonomous Trucks | Autonomous Trucks Cybersecurity
According to reports, the market puncturing of autonomous trucks will reach an all-time high of 55 percent in the U.S. by the year 2030.
Experts predict that about 90 percent of mile trucks will become autonomous soon.
These trucks are a huge relief to the trucking industry and the drivers who had to work for several hours normally, which leads to frustration and discomfort on long reduce.
Although these trucks are innovative and a step in the right direction, doubters worry about their long-term security and effective.
Several businesses and start-ups are currently working on combine them with robust cybersecurity solutions to improve their security.
Autonomous Trucks Cybersecurity is the protection of automotive electronic systems, communication networks, control algorithms, software, users, and underlying data from malicious attacks, damage, unauthorized access, or manipulation.
Autonomous Trucks Cybersecurity Technology Landscape
Autonomous Trucks Cybersecurity company Argus is one of the pioneers in automotive cybersecurity.
The Israel-based company aims to impart comprehensive and affordable automotive cybersecurity security solutions to automated cars and commercial vehicles.
Argus, which began operations in 2013, has over ten years of experience inventing cutting-edge security solutions that help protect autonomous vehicles from cyber-attacks.
Argus provides warning systems and intrusion prevention systems (IPS) to prevent tampering with a vehicle’s critical systems.
Deep Packet Inspection (DPI)
Deep packet inspection (DPI) methods are used to analyze all network traffic in a vehicle, identify irregular transmissions, and allow real-time threat response. It integrates with cars and commercial trucks via OBD-II dongles in the dashboard.
The company offers numerous solutions, each targeted towards a different demographic. One of its standout characteristics is the Vehicle Vulnerability System, which functions similarly to antivirus programs.
It identifies particularly high-risk locations within the car and provides a thorough plan for dealing with them. Additionally, Argus provides in-vehicle security, which makes use of sensors to monitor signs of sabotage and unusual activity.
Upstream appears to be another promising business. Upstream is a cloud-based automotive cybersecurity solution provider.
It provides a cloud-based platform that safeguards connected vehicle fleets by using big data analytics and machine learning algorithms to monitor and anticipate threats. The Israel-based organization delivers a robust and comprehensive solution for automobiles.
Upstream is famous for its user-friendly dashboards, easily employable solutions, and customized reporting for unprecedented protection and control.
It enables autonomous truck security with a fully cloud-based, agentless, and cost-effective solution.
One of Upstream’s unique selling points is that it allows consumers to share their vehicle data to prevent fraud, detect security breaches, and be notified of asset misuse.
Upstream’s proactive early identification of possible truck and service component failures reduces unexpected vehicle downtime and prevents spontaneous component failures that might endanger fleet drivers, other road users, and the OEM’s reputation.
Its consistent maintenance of vehicle stats enables it to lower maintenance costs and improve consumer brand image by limiting supply chain disruptions.
Lastly, consumers can always book a demo with Upstream to see how they ensure autonomous vehicle safety, making them an option worth considering.
Dellfer is another firm specializing in cybersecurity solutions for autonomous trucks and other automotive sectors. For vehicles with IoT capabilities, the company’s integrated software protects against hackers.
To ensure security, the company implements code execution paths at runtime. DENSO, the second-largest mobility provider in the world, has collaborated with Dellfer to incorporate Dellfer’s IoT cybersecurity technology into a larger variety of vehicles.
Dellfer uses a unique approach to safeguard IoT components in automotive parts, such as electronics, actuators, and sensors that collect data and help guide decisions and actions.
Just like any connected peripheral, the IoT components embedded into autonomous vehicles pose the risk of unauthorized access by cybercriminals.
Security breaches can result in leaked consumer data, threats to vehicle safety and in severe cases full remote control of the autonomous vehicle.
Dellfer rectifies these issues by building a fingerprint of the software that runs an IoT device and then installing detecting tools that activate countermeasures if any modifications are detected. Dellfer detects and quarantines malware, for instance, if injected into the software.
If the software is altered to behave differently, Dellfer finds and removes the issue’s root cause.
Irdeto is another example that is set to revolutionize commercial fleets. Irdeto’s Keystone is a safe, permission-based digital key for vehicles that uses Bluetooth Low Energy to provide smartphone proximity-based vehicle access.
The Keystone solution also contributes to developing shared mobility use cases, a key competitive advantage.
Irdeto is unique because it lets you control who, when, and how drivers operate or manage your autonomous vehicles.
Keystone can detect authorized personnel approaching and begins pre-conditioning the autonomous vehicle according to their specifications.
Their technology offers end-to-end protection for connected electronics and telematics to prevent operational exploitation, such as unauthorized engine starting/stopping and door locking/unlocking.
This effectively prevents unauthorized use of vehicles and their data. Irdeto provides world-class security solutions with significant reductions in overall cost.
Thales is another company that aims to help automotive OEMs build cybersecurity protocols for autonomous trucks. It provides risk analysis of different components and functions in the autonomous vehicle to define a threat likelihood percentage.
Thalus then constructs the likely attack scenarios and attacker profiles. It uses penetration testing techniques to identify security breaches.
Additionally, it designs custom architecture and vehicle-specific technical security measures to be taken. The company owns and manages modern Security Operations Centres (SOCs) on several continents.
Thale threat hunters, incident responders, and cybersecurity professionals collaborate closely with automotive engineers at each SOC site to monitor, analyze, and quickly detect and respond to any possible threats or suspicious occurrences.
Thales’ cutting-edge artificial intelligence (AI) and machine learning (ML) technologies. These technologies allow for the monitoring of data from every component of the connected automotive ecosystem.
Additionally, they examine communication protocols, IP traffic, and many other components. Identify potential malicious activities using indicators of compromise (IOC).
These combined efforts lead to a comprehensive and robust one-stop solution for security in automated vehicles.
The conventional trucking sector is changing because of autonomous trucks. This makes it easier to process and transport products across long distances.
They reduce overhead costs along with operational and maintenance expenditures.
Hackers are devising innovative methods and malware to breach security efficiently which makes these vehicles highly prone to malicious attacks.
Effective cybersecurity solutions are crucial to secure vehicles against such threats. These Automotive Cybersecurity solutions are evolving rapidly.
Experts believe we will soon have a one-stop solution that will help commercialize autonomous truck cybersecurity more rapidly.
The protocols are unique and promising; therefore, it is safe to say that the future of cybersecurity looks exceptionally bright.