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Applying Deep Learning Techniques To The Analysis Of Android Apks, Robin Andrew Nix
Applying Deep Learning Techniques To The Analysis Of Android Apks, Robin Andrew Nix
LSU Master's Theses
Malware targeting mobile devices is a pervasive problem in modern life and as such tools to detect and classify malware are of great value. This paper seeks to demonstrate the effectiveness of Deep Learning Techniques, specifically Convolutional Neural Networks, in detecting and classifying malware targeting the Android operating system. Unlike many current detection techniques, which require the use of relatively rigid features to aid in detection, deep neural networks are capable of automatically learning flexible features which may be more resilient to obfuscation. We present a parsing for extracting sequences of API calls which can be used to describe a …
Modeling And Design Of Low Cost Customizable Household Robot, Bharat Narahari
Modeling And Design Of Low Cost Customizable Household Robot, Bharat Narahari
LSU Master's Theses
Just as the growth of Personal computer, Mobile phones and Automobiles took place in last 3 decades, the personal robotics industry still in its nascent stage, is heading in the same direction. This thesis explores the concept of customizable household robots (CHR) in the robotics community. An attempt has been made to design a customizable robot by extending the 2 wheel differential drive kinematic model to 4 wheel independent differential drive kinematic model. A framework for CHR is developed which will be able to do various household repetitive tasks. Just as we can assemble a PC by buying its individual …
Energy-Rate Based Mac Protocol For Wireless Sensor Networks And Key Pre-Distribution Schemes, Ramaraju Kalidindi
Energy-Rate Based Mac Protocol For Wireless Sensor Networks And Key Pre-Distribution Schemes, Ramaraju Kalidindi
LSU Master's Theses
Sensor networks are typically unattended because of their deployment in hazardous, hostile or remote environments. This makes the problem of conserving energy at individual sensor nodes challenging. S-MAC and PAMAS are two MAC protocols which periodically put nodes (selected at random) to sleep in order to achieve energy savings. Unlike these protocols, we propose an approach in which node duty cycles (i.e sleep and wake schedules) are based on their criticality. A distributed algorithm is used to find sets of winners and losers, who are then assigned appropriate slots in our TDMA based MAC protocol. We introduce the concept of …