Home  | News

27.06.2025

Teaser image to Every Household Needs a “Digital Chimney Sweep”– Insights from Johannes Kinder

Every Household Needs a “Digital Chimney Sweep”– Insights From Johannes Kinder

LMU News

At this year’s ACNS conference (June 23–26 in Munich), MCML Associate Johannes Kinder emphasized the growing security risks posed by smart home devices. From toothbrushes to robot vacuums, many Internet of Things (IoT) devices transmit data without proper encryption or updates, leaving users vulnerable.

In his interview with LMU, Kinder outlined two major challenges: manufacturers rarely maintain devices after sale, and consumers are often unaware of the need for regular updates and network separation.

To address this, he recommends:

  • Choosing devices with long-term update policies
  • Prioritizing end-to-end encryption
  • Using separate Wi-Fi networks for IoT devices
  • Introducing a “digital chimney sweep” — a minimal-intrusion micro-patching system for outdated but still-in-use devices

As part of the ForDaySec project, Kinder and his team are developing tools to automatically analyze firmware, detect vulnerabilities, and deploy targeted patches — aiming to make smart homes safer by design.

#research #kinder
Subscribe to RSS News feed

Related

Link to

19.01.2026

MCML at AAAI 2026

MCML researchers are represented with 9 papers at AAAI 2026 (6 Main, and 3 Workshops).

Link to MCML PI Frauke Kreuter Featured on ARD alpha on AI

19.01.2026

MCML PI Frauke Kreuter Featured on ARD Alpha on AI

MCML PI Frauke Kreuter featured on ARD alpha discussing AI in daily life, workplace applications, and responsible, future-ready use.

Link to Blind Matching – Aligning Images and Text Without Training or Labels

15.01.2026

Blind Matching – Aligning Images and Text Without Training or Labels

CVPR 2025 research from Daniel Cremers’ group shows how images and text can be aligned without training data, labels, or paired examples.

Link to MCML PIs Featured in Süddeutsche Zeitung

12.01.2026

MCML PIs Featured in Süddeutsche Zeitung

MCML PIs Xiaoxiang Zhu and Felix Dietrich featured in Süddeutsche Zeitung for TU Munich’s 2025 breakthroughs in AI and data science.

Link to High-Res Images, Less Wait: A Simple Flow for Image Generation

08.01.2026

High-Res Images, Less Wait: A Simple Flow for Image Generation

ECCV 2024 research led by Björn Ommer’s team enables faster high-resolution image generation by boosting diffusion models with flow matching.

Back to Top