Automotive IoT Security: Risks & Speed Detection Solution

May 20, 2024

Thanks to the Internet of Things (IoT), cars are becoming increasingly connected, and that's great for improving driving safety, keeping our vehicles in top condition, and even moving towards fully automated driving. But here's the catch: all this connectivity also opens up new ways for hackers to break into our cars. That means our privacy, security, and the operation of our cars could be at risk. With more and more gadgets in our vehicles, cybercriminals have more opportunities to cause problems. That's why it's important to strengthen the security of IoT devices in cars. By staying ahead of the curve and providing top-notch security for in-car IoT devices, we can enjoy all the benefits of connected vehicles without worrying about security.

This article on automotive IoT security explores popular use cases, potential risks associated with connected vehicles, and innovations such as speed detection solutions that can mitigate these threats to ensure safer roads and more secure automotive technologies.

IoT in automotive industry use cases

IoT in automotive industry use cases

The automotive industry is increasingly adopting the IoT to improve various aspects and has many use cases. Here are some popular IoT use cases in the automotive industry:

Fleet management

Fleet management IoT transforms how vehicles are monitored and managed, ensuring efficient operations at every turn. By tracking vehicle location, fuel consumption, and maintenance schedules in real time, fleet managers can make informed decisions to optimize routes, reduce downtime, and minimize costs. With the ability to access up-to-the-minute traffic updates and perform route optimization, fleet managers can ensure timely deliveries, improve customer satisfaction, and stay ahead of the competition.

Connected cars

Connected cars are integrated with internet compatibility and internal sensors that allow the exchange and communication of data between vehicles, infrastructure, and cloud-based services. These vehicles send and receive real-time data about different aspects such as the car's performance, position, navigation, driver’s behavior, and the surrounding conditions.

Predictive maintenance

IoT sensors installed throughout the car's component collect data continuously and send it to the central data platform. Subsequently, this data is processed through advanced algorithms that can predict the failure potential of the operation. Systems such as predictive maintenance report the drivers of certain issues that have not yet occurred, allowing the implementation of preventive measures. This preventive approach helps the vehicle run smoothly and guarantees high safety, saving time and money.

Smart parking

Smart parking is a technology approach that changes the parking industry by introducing innovative car park management tools. It includes the ANPR (automatic number plate recognition) technology for vehicle registration plate monitoring and managing car park usage.

Smart parking systems are built to maximize the use of parking spaces, making it possible for motorists to find available spots and pay for parking. These systems are integrated with an IT platform and a network of stationary cameras that can spot and record parking infractions. They also positively influence parking compliance and ensure a better parking experience for motorists.

In-vehicle infotainment with telematics

IoT-based automotive technology is taking connectivity to the next level by offering in-car Wi-Fi capabilities powered by a robust 4G LTE connection. This enables a range of telematics features that enhance the driving experience. With a smartphone-enabled dashboard, car owners gain unprecedented control over their vehicles. They can monitor the vehicle's condition in real-time, ensuring optimal performance and identifying potential issues before they escalate.

Autonomous vehicles

Automotive IoT technology is making waves by introducing semi-autonomous cars that lend a helping hand to drivers. These vehicles assist with steering, braking, parking, and lane changes, aiming to reduce human error and make our journeys safer. These cars are equipped with smart sensors and connectivity, constantly gathering data on road conditions, traffic flow, and the environment. This real-time information helps them adapt to the situation and make better decisions while we're on the road.

Automotive IoT security risks

Automotive IoT security risks encompass various vulnerabilities from integrating IoT technology into vehicles. These potential risks include:


Cyberattacks targeting automotive IoT systems pose significant security risks, with potential consequences ranging from vehicle malfunctions to data breaches and physical harm to drivers and passengers. 

Hackers can exploit vulnerabilities in IoT-connected systems to gain unauthorized access to vehicle functions remotely. They may compromise critical systems such as brakes, steering, or acceleration, endangering the safety of occupants and other road users.

Remote hacking

Remote hacking refers to the unauthorized access and manipulation of IoT-connected systems or devices from a remote location. In automotive IoT device security, remote hacking involves exploiting vulnerabilities in-vehicle systems, software, or communication protocols to gain control over critical functions or access sensitive information.

Insider threats

Insider threats in the context of automotive IoT security refer to security risks posed by individuals within an organization or trusted third-party vendors who misuse their access privileges to compromise vehicle systems, steal sensitive information, or engage in malicious activities. These insiders may include employees, contractors, suppliers, or partners with legitimate access to vehicle systems, software, or data.

By implementing automotive IoT security solutions and fostering a culture of security awareness, automotive manufacturers can mitigate the risks posed by insider threats and enhance the security of connected vehicles and IoT systems.

Data privacy

Data privacy in automotive IoT device security involves protecting the confidentiality, integrity, and accessibility of personal and sensitive information collected, processed, and transmitted by connected vehicles and IoT systems. It's important to ensure that personal information, such as driver's license numbers, contact details, and biometric data, is handled securely and only used for legitimate purposes with the individual's consent.

Empowering users with control over their data through privacy settings, consent mechanisms, and data access rights, and providing transparent information about data processing practices is an automotive IoT security solution.

Hardware-based automotive IoT security solutions

Hardware-based automotive IoT security solutions

Hardware-based automotive IoT security solutions are security measures implemented at the hardware level to protect connected vehicles and IoT devices from cyber threats and attacks. These solutions use hardware components, such as secure boots, trusted platform modules, and asset protection to provide robust security features and protections. Common hardware-based security solutions for automotive IoT device security:

Secure boot

The hardware secure technology is used for monitoring the boot process of specialized sensors and firmware that continuously runs. The process works by comparing the real boot sequence with the expected sequence stored in the secure memory, and any deviation or change may indicate tampering or unauthorized modification. This guarantees the integrity and authenticity of hardware and software components, providing security and reliability.

Asset protection

Integrating active asset protection into cybersecurity strategies is important for robust defense against evolving cyber threats. Through meticulous threat analysis, strategically positioned functional monitors within the device offer rapid threat detection and mitigation with minimal latency.

Trusted platform modules

Trusted platform modules protect connected vehicles and IoT devices. These specialized chips securely store important cryptographic keys, create digital certificates, and oversee the safe execution of boot and device authentication procedures. They verify the software and firmware components, earning the user's trust by ensuring the system's integrity and authenticity. TPMs provide reassurance in the face of potential security threats.

Overspeed detection system on the Kaa platform

The Over Speed Detection System (ODS) is a significant safety feature that protects vehicles from potentially dangerous situations involving excessive acceleration beyond safe limits. Primarily used in high-performance vehicles such as sports or racing cars, ODS continuously monitors the vehicle's speed and triggers immediate action, including engine shutdown and alarms, if pre-set thresholds are exceeded.

This system is essential for insurance purposes to prevent catastrophic consequences such as severe financial loss, vehicle damage, business interruption, or even environmental and safety incidents. The correct installation, configuration, and ongoing maintenance of ODS equipment is fundamental to ensuring that it operates efficiently and meets vehicle safety standards.

ODS systems are a combination of engineered components that must be carefully integrated, calibrated, and regularly maintained to ensure optimum vehicle performance and reliability. Given the potential consequences of speeding, including production losses and safety hazards, the implementation of ODS is necessary to meet vehicle safety and operational standards.

Kaa IoT offers a professional approach to solving automotive overspeed detection problems. Our comprehensive solution using the Kaa IoT Platform helps whether you're a developer seeking advanced IoT features or an organization improving fleet management, this guide provides essential steps and insights for a reliable setup. With our tutorial, you can build Overspeed Detection Solution on Kaa IoT Platform.

By the end of this guide, you can assemble a fleet management simulation with the speedometer displaying the current speed, and the vehicle begins moving on the map.

Overspeed detection system on the Kaa platform

By leveraging Kaa's features, you can configure alerts to detect instances of overspeeding, create widgets to visualize speed data, alert notifications, and the location history of fleet vehicles, and finally, simulate fleet movement to test our solution.


In conclusion, the automotive industry is experiencing significant disruption due to the integration of IoT technology, with use cases such as fleet management, connected cars, autonomous vehicles, and smart parking. However, this increased connectivity also presents significant security risks, as automotive IoT devices are vulnerable to cyber threats, including remote and physical attacks. To address these risks, it is essential to implement robust cybersecurity measures, such as encryption, authentication protocols, and regular security audits, to safeguard against potential cyberattacks and protect users' sensitive information.


What is an IoT-based vehicle speed detection system?

An IoT-based vehicle speed detection system uses sensors and connectivity to monitor and analyze vehicle speeds in real-time, enabling timely detection of overspeeding incidents and facilitating proactive interventions for safer driving.

Which is the speed detection method?

The speed detection method typically involves the use of GPS technology or vehicle-mounted sensors to measure the speed of a vehicle accurately and in real-time.

What is IoT-based speed control of a motor?

IoT-based speed control of a motor employs sensors and connectivity to monitor and adjust the speed of a motor remotely, enabling precise control and automation of various industrial processes and applications.

What is the speed limit detection system?

The speed limit detection system uses sensors or GPS technology to monitor vehicle speeds and alerts drivers when they exceed predefined speed limits, promoting safer driving behavior and compliance with regulations.

What is speed detection system security?

Speed detection system security involves securing the system against unauthorized access, tampering, or manipulation to ensure the accuracy and reliability of speed measurements and prevent potential safety risks on the road.