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Intersect IoT security

What are the most common vulnerabilities in IoT devices and applications and what guidelines should be followed to improve general IoT security?

This project is part of the intersect project. This project strives to provide more information about the security of IOT devices and systems. Another goal of this project is to improve the general security of IOT.

All projects:

Aquarium Blue Team training Change Management Game Cities: Venlo Cooperative test robot II Corona speedtester Challenge Covid19 fast but secure testing Dashboard on Animal welfare Data Driven HLB Van Daal Data Quality Datics Butterfly SDM De Lockdown een tikkie terug Detect trends on a cliënt level Digital Authorization System Egg picking robot Eye-tracking FHICT Netlab automation FntsPresent Fontys Goede Start Global Goals Community Global Goals Community (GGC) HTES Pose tracking HTES1 Monitoring Robot Indoor Positioning at Low speed Industry 4.0 AAS security Intersect IoT security Machine learning in the aviation sector Machine learning models for object recognition – flag icon, 2D/3D objects Machine Management System Measure flower richness in agricultural areas Monitoring network New online identity Ruud Aerts sport Object Detection Offline OnScene Operation Room Optimising driver behaviour OWC Nepal data platform OWC Rwanda fundraising app Pharmapartners security PIDZ Loyalty Research Project AutoRepo Project Process-Mining Project Swimm PSV - My stadium Real Time Data Dashboard Research Digital Twins RigS Robot4Care Slimmer Kiezen Smart Office v2 Transferability and valorization document Smart Tactical Robot Student AI Learning Support (TEC) SVB Talent Engagement Branding Taxi on Spot Urban beamer Virtual Influencing Vitality Living Lab Wijkbeweegkaart Yokufa Youth performance prediction