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1	Fast Low Memory T-Transform: string complexity in linear time and space with applications to Android app store security. Rebenich, Niko 27 April 2012 (has links) This thesis presents flott, the Fast Low Memory T-Transform, the currently fastest and most memory efficient linear time and space algorithm available to compute the string complexity measure T-complexity. The flott algorithm uses 64.3% less memory and in our experiments runs asymptotically 20% faster than its predecessor. A full C-implementation is provided and published under the Apache Licence 2.0. From the flott algorithm two deterministic information measures are derived and applied to Android app store security. The derived measures are the normalized T-complexity distance and the instantaneous T-complexity rate which are used to detect, locate, and visualize unusual information changes in Android applications. The information measures introduced present a novel, scalable approach to assist with the detection of malware in app stores. / Graduate Kolmogorov complexity Lempel Ziv T-codes flott Fast T-decomposition ftd mobile computing Lempel-Ziv complexity LZ complexity LZ78 LZ77 LZ76 LZW normalized information distance NID normalized compression distance NCD McCreight Ukkonen phylogenetics phylogenetic tree Gemini Droiddream Apple iOS iPhone iPad mobile phone open source Apache License 2.0