Mitigation of Cyber Attacks in wearable Devices
Foundation for Research and Technology - Hellas (FORTH), Greece
Prof. Evangelos Markatos
Attacks on Wearable Sensors, Privacy of Wearable Devices data, Deanonymization of Wearable Devices data
I am an Early Stage Researcher at FORTH and a fellow of RAIS ITN project, researching the topic of "Mitigation of Cyber Attacks in wearable Devices". I am also about to start my PhD in the Computer Science Department of University of Crete. I received my MSc degree from Aalto University in the field of Security.
Information Security, Machine Learning, NLP
Here at FORTH within RAIS project we are trying to discover and address security and privacy limitations of centralized handling for sensitive IoT/IoS health data. In particular, we are investigating ways to disclose sensitive personal information by intercepting and analyzing data (potentially encrypted) sent by wearable devices to the cloud. To do that we are employing cryptoanalysis and various machine learning techniques. Cryptanalytic approaches include comparing pairs of plain text and encrypted data, as well as analyzing specific bits of encrypted payload. Machine learning approaches are based on identifying relevant features of encrypted data: DNS, IP, ports, time intervals, etc. Furthermore, we are studying existing cybersecurity attacks on wearable devices, and ways to mitigate them. We are replicating these attacks, and designing pipelines to neutralize them. Finally, we are trying to scrutinize impact of General Data Protection Regulation (GDPR) on IoS. We are surveying whether major wearable devices manufacturers are complying with GDPR.