Censoring techniques and technology have been evolving in the past decade, becoming increasingly more difficult to bias. The definition of censorship has also been changing from restricting access to servers based on governmental concerns to restricting access to servers for monetary, performance-based, or security purposes. An example of this new definition of censorship is wireless networks that do not provide full Internet access without proper authentication, restricting access to only those who can provide proper login information. This thesis analyzes current strategies to access the Internet even with those restrictions present. To do this, an open source censorship evasion tool called Geneva, which is a genetic algorithm that deploys packet-manipulation-based censorship evasion, is deployed against local private-access WiFi networks. Furthermore, the greater impact and implications of the dangers that Geneva's success against private-access WiFi networks presents will be explored.