Description
Artificial intelligence has been expanding across several areas of our daily lives by getting embedded into billions of smart objects and IoT devices. Securing such devices presents a number of unique challenges, since they are deployed in uncontrolled, complex, and often hostile environments. Smart devices currently apply Machine Learning techniques to detect and mitigate security issues as they occur. The ever-increasing number of new security challenges however, requires them to predict and proactively protect against potential threats that may occur in the future by utilising Deep Learning techniques. In this talk, we will discuss the security challenges facing the IoT networks, as well as desires and requirements for making the journey from Machine Learning to Deep Learning.
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in __on Friday 3 May at 12:00 **See schedule**