There’s growing use of machine learning to provide users with greater visibility of industrial processes. Andrea Carcano, co-founder of and chief product officer at Nozomi Networks, says that this has several benefits. From a cybersecurity perspective it allows a system to interpret commands and understand if someone’s attempting to disrupt the manufacturing process. A classic example of this type of attack is Stuxnet – a worm identified in 2010 – which is believed to have altered the behaviour of uranium enrichment centrifuges to slow down Iran’s nuclear development programme.
Wireless comms in manufacturing: improving safety and efficiency
by Nozomi Networks | Jan 30, 2017