Adopt AI to tackle IoT security risks

As industry 4.0 trends continue, people are in the middle of an Internet of Things gold rush, with IoT devices are seen everywhere now, from tech giants’ offices to our daily used cars, homes, etc. According to Gartner, the number of IoT devices is expected to grow to 41.6 billion by 2025, along with over 1 trillion USD spent on their development.

The potential is huge, however, there raises an issue of security. The cost of cyber-criminal activity, reported by Fox News, will reach 6 trillion USD by 2021, which poses a big threat to IoT devices.

IoT devices face security threats. Source: IoT Business News

In Internet of Things, every device is connected, hence forming a network with large data sets. Once IoT device is targeted then attacked by hackers, businesses or organizations face a huge loss of data, or data exfiltration, data breaches. This does harm to every businesses, as it can be extraordinary costly for business to regain control of their devices, as well as confidential information can be leaked with abnormal purpose.

In order to manage security risks towards IoT devices, it is suggested that we should use Blockchain or Artificial Intelligence (AI). Blockchain’s outstanding feature is decentralized system, which is suitable to help secure data within connected devices. Meanwhile, AI is believed to have huge potential in tackling IoT security challenges efficiently.  

In detail, AI acts as a brain to help devices make decisions. In this case, people can use AI to predict danger and abnormal act. For instance, when the neural network senses some suspicious action invaded in the devices, it can make that IoT device immediately shut down to avoid further damage.

Artificial Intelligence and Internet of Things are completely independent technologies. These are two important factors in Industry 4.0, and now they can be combined in order to bring more outstanding results. There even appeared a term called “AIoT”, which defines the connected and smart devices that are designed to be self-protected as well as self-corrected. The key difference between Internet of Things (IoT) and Artificial Intelligence of Things (AIoT) is IoT being proactive, while AIoT being reactive.

Source: Data Driven

In short, IoT security risk has always been a great concern for businesses, organizations. With an unstoppable growing volume of data nowadays, it can be extremely harmful for businesses if they lost their control of IoT systems to cyber-criminal. The problems remain unsolved, however, there appears a more comprehensive approach to improve the situation. AIoT is believed to not only solve the existing issue, but also hold great promise for the next development stage of Industry 4.0.

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