Senior Design Projects Sam Brandler securboration.com

Spoofing Network Architectures in Response to Hostile Reconnaissance (INDEX)

INconsistant Deception EXchange INDEX 1. Confuse potential attackers using inconsistent deception 2. Enhance existing defense technology 1. Create a plugin for an already established system. (eg. Snort) 3. Ensure flexibility 4. Provide status feedback for operators and administrators 1. Must allow operators to view the current status of the system. 5. Test the effectiveness of INDEX against a wide array of reconnaissance types

Crowd Sourcing Machine Learning Training Sets With Games The Alaska Ecosystem Program at the Alaska Fisheries Science Center collects 1 million images of Steller sea lions per year. They want to build a website that has volunteers check each image to see if it contains a sea lion or something else (different animal/partial view). 1. Training sets for machine learning can take a very long time to create. 2. Securboration would like to create a game (web app/mobile) that is fun to play, and crowd sources building a machine learning training set. 3. You should be able to train an Artificial Neural Network from the collected data. The data must be automatically cleaned. 4. Training sets of interest are identifying military aircraft and threatening tweets/social media posts.

AppDiff (Challenging) 1. Develop dynamic analysis of Android Dalvik bytecode execution to identify changes in execution paths and program states 2. Give the binary difference between different versions of the same mobile OS 1. How is Android Kit Kat different from Android Lollipop? 3. Show how the changes could effect data security 4. Show what each change does in a readable form 5. Be able to compare any 2 versions together 6. AppDiff is necessary to extend the shelf life of apps that use low level system calls, and to ensure an app will run on different devices.

Communication Plan 1. We will require either an in person meeting, or a conference call meeting once every 2 weeks 2. INDEX has a full project proposal completed. 3. AppDiff and The Machine Learning Game are less restricted, and don’t have design proposals. 4. These are proof of concepts for research projects. 5. You can any questions to