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ManySecured Workshop

May 17 @ 9:30 am - 4:00 pm

Problem: There are millions of unsecured IoT devices connecting to insecure gateways and routers in your home, and business. This means there are many vulnerabilities creating significant risk.

ManySecured is a collaborative industry initiative, looking to mitigate this problem with fundamental innovation at the gateway level.

By defining data sharing standards, APIs and best practice, ManySecured provides the tools to protect, detect and respond to security threats, at scale.

• Learn about, new foundational secure router technologies.
• Gain hands on experience: build, setup and configure your ManySecured router.
• Test your devices: bring along IOT devices for live testing and integration.
• Attendees will be given their own PI based ManySecured router to take home, and experiment with after the event.

The ManySecured Gateway Project is a collaborative project co-funded by Innovate UK, the UK’s innovation agency partnered by nquiringMinds, CISCO, University of Oxford Cyber Security Centre and the IoT Security Foundation.

This is a free event and spaces are limited. We recommend you secure your space early.

Find out more about ManySecured here

Nick Allott

CEO, NquiringMinds

Nick is CEO of NquiringMinds, an AI analytics company founded on robust cyber security principles. He has been developing and deploying AI technologies for almost 30 years and is a recognised cyber security expert. Nick has also recently joined the IoTSF Board of Directors.

Nick was formally, CTO of OMTP, a security focussed, international mobile standards organisation responsible for many technologies now widely deployed. Significant among OMTP deliveries, is the Trusted Execution Environment, (TEE) the security core of most CPUs and SIM technology. TEEs now ship a the rate of 1 billion per year. Nick is also a Director of the Webinos Open Source Foundation: a collaborative initiative for secure IOT interaction based on PKI.

For Shell, Nick helped develop their data mining products (later acquired by Accenture). And as Technology Director for Motorola, Nick had responsibility for their speech recognition and voice Personal Assistant products. Nick Joined start-up Fastmobile (multimodal speech recognition) as their CTO in 2000 until their acquisition by RIM. His first full time job was developing neural networks for Neural Computer Sciences, followed by a stint at the part Microsoft owned Dorling Kindersley Multimedia, where he worked on search technology and 3D graphics platforms.

NquiringMinds was selected by DCMS to develop an innovative, secure data sharing platform for Smart Cities, which forms the basis of the current product line. Nick has advised the UK Government on the Secure by Default Program and was among a handful of technology CEOs selected by, the then Prime Minister, Theresa May, to accompany on her first trade mission to India. Nick is a Fellow of the British Computer Society, the Institute of Analysts and Programmers and the Royal Society of Arts.

Nick has a degree in Cognitive Science, a PhD in Artificial Intelligence and is a Visiting Professor and the University of Southampton.

Presentation: ManySecured concepts: understanding the problem

Dr Steve Moyle

University of Oxford

Steve is applying advanced analytics techniques to connection data collected from IoT devices in the context of network security. Previously he has applied ML and AI to other Cyber Security domains including inventing an ML powered database firewall (now sold by Oracle). He has a doctorate from Oxford in Machine Learning, and a degree in Chemical and Process Engineering from Adelaide.

Presentation: Advanced analytics techniques for IOT security analysis

Can we identify IoT-like devices from Network Monitoring (NetMon) data? Can we use ML/AI techniques to characterise behaviours of IoT devices from their NetMon data? In this short session we will show that the answer is Yes in both cases. We start by applying ideas taken from Alan Turing and Jack Good from their Bletchley Park days, and then use sequence mining and Inductive Logic Programming, to build prototype tools that help us to make sense of IoT device behaviour.

Dr John Manslow

Commercial Software Expert

John has more than 20 years of experience producing commercial software based on machine learning and adaptive systems technologies in applications as diverse as commercial credit scoring, radioisotope detection and identification, user experience optimisation, fraud detection and videogames.

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