Invitation "Securing the IoT" webinar

[Andrew Zayine]

 Dear all,

We're happy to announce an upcoming DFIR stream series that will explore "Securing the IoT: Harnessing Deep Learning for Robust and Interpretable Intrusion Detection". You will have the opportunity to dive into discussions on the integration of deep learning within IoT-focused intrusion detections, exploring potential pathways and the impact on efficiency, robustness, and security.

Date & Time: Friday, March 1 · 2:00 – 3:00 pm (GMT+00:00) UK Time
Location: Online
Registration: https://forms.gle/MYSHvETpR4zEAtF76

Agenda highlights

- General Introduction to Network Security in IoT Contexts.
- Limitations of existing proposals.
- Design Principles for Robust & Interpretable IDSs for IoT Settings.
- Brief introduction to the design and implementation of IoT-focused NIDSs.

For Students, A certificate of successful participation in the event will be delivered upon request, indicating the number of hours of the seminar (please make sure that you add the correct name in the registration form). This should be sufficient for those participants who plan to request ECTS recognition from their home university.

Registration is free but mandatory. Discover the full agenda and register now: https://forms.gle/MYSHvETpR4zEAtF76  

This event is brought to you by CFTIRC (Cyber Forensics & Threat Investigations Research Community).

To get more news about our events, please join our low-traffic announcement group @ https://groups.google.com/g/acfti

Don't miss out on this interesting opportunity to connect with industry leaders, forward-thinkers, and researchers!

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Association of Cyber Forensics and Threat Investigators
https://www.acfti.org
Twitter: @acfti