Peter Teufl
Graz University of Technology
43 Papers
369 Citations
Peter Teufl is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Android (operating system) & Encryption. The author has an hindex of 12, co-authored 43 publications.
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Papers
Malware detection by applying knowledge discovery processes to application metadata on the Android Market Google Play
TL;DR: A new malware detection method that focuses on the information that the user is able to see prior to the installation of an application-the metadata within the platform's software market, which should be an essential part of a complete malware analysis/detection chain that includes other well-known methods such as network traffic analysis, or static, or dynamic code inspection.
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Android Security Permissions – Can We Trust Them?
Clemens Orthacker,Peter Teufl,Stefan Kraxberger,Günther Lackner,Michael Gissing,Alexander Marsalek,Johannes Leibetseder,Oliver Prevenhueber +7 more
- 17 May 2011
TL;DR: This paper presents a method that circumvents the permission system by spreading permissions over two or more apps that communicate with each other via arbitrary communication channels and describes the permission spreading process, possible implications and countermeasures.
Hybrid engine for polymorphic shellcode detection
Udo Payer,Peter Teufl,Mario Lamberger +2 more
- 07 Jul 2005
TL;DR: A further improvement could be achieved by combining the best suited NN-based data mining techniques with a mechanism the authors call “execution chain evaluation”, which means that disassembled instruction chains are processed by the NN in order to detect malicious code.
Automated Analysis of e-Participation Data by Utilizing Associative Networks, Spreading Activation and Unsupervised Learning
TL;DR: A framework based on Machine Learning-(ML) and Artificial Intelligence-(AI) techniques that are capable of various analysis mechanisms such as unsupervised clustering of yet unread documents, searching for related concepts within documents and the description of relations between terms is presented.
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Extracting semantic knowledge from twitter
Peter Teufl,Stefan Kraxberger +1 more
- 29 Aug 2011
TL;DR: This work argues that Twitter is a valuable data source for e-Participation related projects and describes other domains were Twitter has already been used and focuses on its own semantic-analysis framework based on the previously introduced Semantic Patterns concept.