669 citations · 1.2k across the 13 of their papers we have counts for
14 papers
Unleashing IoT Security: Assessing the Effectiveness of Best Practices in Protecting Against Threats
Philipp Pütz, Richard Mitev, Markus Miettinen +1
The Internet of Things (IoT) market is rapidly growing and is expected to double from 2020 to 2025. The increasing use of IoT devices, particularly in smart homes, raises crucial c…
ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks
Phillip Rieger, Marco Chilese, Reham Mohamed +3
IoT application domains, device diversity and connectivity are rapidly growing. IoT devices control various functions in smart homes and buildings, smart cities, and smart factorie…
CrowdGuard: Federated Backdoor Detection in Federated Learning
Phillip Rieger, Torsten Krauß, Markus Miettinen +2
Federated Learning (FL) is a promising approach enabling multiple clients to train Deep Neural Networks (DNNs) collaboratively without sharing their local training data. However, F…
Digital Contact Tracing Solutions: Promises, Pitfalls and Challenges
Thien Duc Nguyen, Markus Miettinen, Alexandra Dmitrienko +2
The COVID-19 pandemic has caused many countries to deploy novel digital contact tracing (DCT) systems to boost the efficiency of manual tracing of infection chains. In this paper,…
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Phillip Rieger, Thien Duc Nguyen, Markus Miettinen +1
Federated Learning (FL) allows multiple clients to collaboratively train a Neural Network (NN) model on their private data without revealing the data. Recently, several targeted po…
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Thien Duc Nguyen, Phillip Rieger, Huili Chen +10
Federated Learning (FL) is a collaborative machine learning approach allowing participants to jointly train a model without having to share their private, potentially sensitive loc…
LeakyPick: IoT Audio Spy Detector
Richard Mitev, Anna Pazii, Markus Miettinen +2
Manufacturers of smart home Internet of Things (IoT) devices are increasingly adding voice assistant and audio monitoring features to a wide range of devices including smart speake…
Mind the GAP: Security & Privacy Risks of Contact Tracing Apps
Lars Baumgärtner, Alexandra Dmitrienko, Bernd Freisleben +14
Google and Apple have jointly provided an API for exposure notification in order to implement decentralized contract tracing apps using Bluetooth Low Energy, the so-called "Google/…
Baseline functionality for security and control of commodity IoT devices and domain-controlled device lifecycle management
Markus Miettinen, Paul C. van Oorschot, Ahmad-Reza Sadeghi
The emerging Internet of Things (IoT) drastically increases the number of connected devices in homes, workplaces and smart city infrastructures. This drives a need for means to not…
Peek-a-Boo: I see your smart home activities, even encrypted!
Abbas Acar, Hossein Fereidooni, Tigist Abera +6
A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment allow users to easily control the physical world around them and facilitate their living style…
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
Thien Duc Nguyen, Samuel Marchal, Markus Miettinen +3
IoT devices are increasingly deployed in daily life. Many of these devices are, however, vulnerable due to insecure design, implementation, and configuration. As a result, many net…
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit
Hossein Fereidooni, Jiska Classen, Tom Spink +5
Tens of millions of wearable fitness trackers are shipped yearly to consumers who routinely collect information about their exercising patterns. Smartphones push this health-relate…
IoT Sentinel: Automated Device-Type Identification for Security Enforcement in IoT
Markus Miettinen, Samuel Marchal, Ibbad Hafeez +3
With the rapid growth of the Internet-of-Things (IoT), concerns about the security of IoT devices have become prominent. Several vendors are producing IP-connected devices for home…
ConXsense - Automated Context Classification for Context-Aware Access Control
Markus Miettinen, Stephan Heuser, Wiebke Kronz +2
We present ConXsense, the first framework for context-aware access control on mobile devices based on context classification. Previous context-aware access control systems often re…