The Internet of Things is altering how people work and play. IoT is a facilitator of a bigger digital transformation that will produce massive amounts of data to be stored, analysed, and transferred over an ever-expanding global network, from applications in MedTech, logistics, and transportation to smart home solutions.[1]

However, as the world of IoT grows, so do security concerns. The deployment of billions of IoT devices has naturally resulted in new dangers for businesses. According to McKinsey, as more 'things' become connected, the number of ways to attack them grows dramatically. Prior to the Internet of Things, a big business network could have had to account for up to 500,000 susceptible endpoints, whereas the IoT could involve a network with millions or tens of millions of insecure endpoints.[1]

Figure 1. In an IOT World, Cybersecurity Is No More A 'One Size Fits All' Proposition [1]

In an IoT world, cybersecurity is no longer a one-size-fits-all proposition because of the complex and diverse nature of IoT devices and systems. The traditional approach of using generic security measures for all devices is no longer sufficient to protect the growing number of IoT devices and systems.

Cybersecurity in an IoT world requires a customized and multi-layered approach that is tailored to the unique security needs of each device and system. This approach may involve implementing different security measures at different layers of the IoT infrastructure, such as the device, network, and application layers.

Moreover, IoT cybersecurity requires proactive measures rather than reactive measures. Organizations need to implement security controls that can detect and prevent potential threats before they occur. They can use advanced technologies like machine learning and artificial intelligence (AI) to identify and address potential security risks in real-time.

To summarize, in an IoT world, cybersecurity is no longer a one-size-fits-all proposition. Due to the complex and diverse nature of IoT devices and systems, a customized and multi-layered approach is required to protect them from potential threats. This approach involves implementing different security measures at different layers of the IoT infrastructure and requires proactive measures that can detect and prevent potential threats before they occur. Advanced technologies such as machine learning and artificial intelligence can play a crucial role in identifying and addressing potential security risks in real-time. Overall, organizations need to prioritize cybersecurity and implement a customized approach that can evolve and adapt to the ever-changing threat landscape in an IoT world.

References:

1. https://technologymagazine.com/articles/cybersecurity-no-longer-one-size-fits-all-in-an-iot-world

Cite this article:

Janani R (2023),In an IOT World, Cybersecurity Is No More A 'One Size Fits All' Proposition, Anatechmaz, pp.92