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The “System Safety Laboratory” is looking for a Tutor for the academic year 2018/2019.
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If you are interested, please send your job application to Peter Schartner.
Student: Christoph Lagger
Supervisor: Peter Schartner
Unfortunately accidents in alpine environments happen on a daily basis, often during mountain hikes in summer or ski tours in winter. Besides standardized security beacons (e.g. avalanche beep) everybody carries a smartphone with multiple sensors (such as Accelerometers and Gyroscopes among others) with them. In emergency situations, time is crucial and an accurate and robust recognition system in form of a mobile application could trigger the chain of survival automatically and support rescue missions. In this thesis machine learning is used to determine current movement patterns or activities based on sensor data such as walking up/down, skiing down, pause, or in the worst case an emergency situation. We recorded a large dataset of actual movement patterns (7 days, 19 hours, 21 minutes and 22 seconds) from all available smartphone sensors during actual alpine activities. Movement data was analyzed and a comprehensive training dataset was created for further usage. The goal was to determine the best combination of sensors, algorithms, features and window size parameters to accurately detect said movement patterns. A framework was implemented to perform a series of experiments using 10-fold cross validation, evaluate its outcome and visualize movement data as well as simulate results. Evaluation results as well as simulation results showed that the Random Forest algorithm using data from the Gyroscope and Magnetometer sensor in combination with a 4-second sliding window and an overlap of 20%, utilizing the Root Mean Square, Mean, Signal Vector Magnitude, Energy, Variance, and Standard Deviation as features, achieved a promising F-Measure of 0.975.
Figure 1: Key activities and corresponding result of a simulation run using the most promising combination of algorithm, sensors, features and sliding window parameters.
Student: Andreas Schorn
Supervisor: Peter Schartner
Cyber security training is about training IT security experts and end users in the field of information security. Traditional teaching and learning methods, such as lectures and literature research, however, have been proven inadequate in the field of cyber security. Implementing basic security concepts in real-world environments is difficult for many people as they usually lack knowledge about the specific procedures. With the help of interactive exercises, an attempt is made in a practical way to implement these basic concepts in a realistic environment, and therefore facilitate better understanding of information security.
In this thesis an overview of different variants of cyber security training and cyber security exercises is given. Structure as well as implementation of such exercises, consisting of a secure exercise environment and hacking instructions, is explained in detail. The thesis contains approaches on how cyber security trainings can be implemented in higher education organisations and describes the development and evaluation of a cyber security training platform (scan.net) for lectures at the Alpen-Adria-Universität Klagenfurt.
Student: Simon Weger
Supervisor: Peter Schartner
Transport Layer Security (TLS) uses a Public Key Infrastructure (PKI) to verify the authenticity of the communication partner. This infrastructure is based on a hierarchical construct of certification authorities, which certify the authenticity of the other user by means of certificates. An important component in the verification of certificates is the local certificate stores on the users’ systems. Through targeted manipulation of the certificate store, attackers can actively intervene in the authentication process and use these manipulations in various ways for further attacks. This thesis deals with the development of a concept for monitoring a non-manipulation-protected certificate store. Digital signatures are created from the contents of the memory (see figure), so that the memory contents prevailing at later points in time can be verified again and again. Modifications of the certificate store content are displayed to the users and they are offered various reaction options.
