ADVICE FOR INDUSTRY 4.0 AGE
Design security into cameras, says consultant
As factories get smarter, cybersecurity in vision sensors is now more important than ever, writes Chainstep’s Mark Hebbel
T
he security of IoT devices is always a last thought in new markets. It is important to get the functionality
working first across the AI, the network connection, the processing and the image capture. Without this functionality, there is no point in having a secure system. But at some point the system is so functional that hackers are able to gain access to information owned by the company or their customers. Unfortunately securing a modern-day
system is a lot of work. In this article, I’ll cover some of the misconceptions I sometimes hear from colleagues and friends in the industrial machine vision space when thinking about device security. I’ll look at some of what should be considered when implementing IoT
security measures – not an exhaustive list, but something that offers insight into the scope of the undertaking. I’ll also touch on the future of security in industrial IoT (IIoT), namely through mathematically encrypted blockchain technology.
‘I’m okay just using commercial software’ Often heard but it is not true! You cannot simply outsource the security topic without binding it into a concept (more about that later). A survey1
of COTS vendors – well-
known companies such as ABB, Arm, Bosch, Huawei and Intel – showed regrettable statistics: 25 vulnerabilities are detected per device; 60 per cent have vulnerable firmware and user interfaces; 70 per cent do not encrypt any communications at all; and 80 per cent fail to request a password for
authentication that has a secure length: not a good basis for a secure system. Are these companies providing basic products that are then built into your products with more code and likely more vulnerabilities?
‘No one can find my device’ One argument given to support not improving security on the device is that the device is not discoverable – security through obscurity. Tere are so many things connected to the internet, many people think their devices will be lost in the sea of other devices. Unfortunately, this is not true. Shodan. io is known as the google of IoT. With it, you can quickly find any IoT device connected to the internet by searching for keywords. Try it out by searching for your own devices. You might be surprised by what you find and how much information is open to the world.
Te classic machine vision architecture Te classic architecture of a machine vision system is normally a row of simple sensors feeding information to a central PC, which itself processes and then outputs to a database. Te connections to the PC are direct and non-standard, and the connection to the database is usually one-way. With only one hackable PC, the security requirements are straightforward: secure
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