A framework for Usage Modeling and Anomaly Detection in Large-Scale 802.11 Networks
Dossa Massa · 2015
ii Wireless 802.11 networks are a popular technology that offers inexpensive ubiquitous access to the Internet in campuses, enterprises, homes, coffee shops, airports, and other public places. Their wide-scale adoption has brought great convenience to many people, giving them anytime and anywhere access to the Internet. As a result people are becoming more and more dependent on these networks and are increasingly demanding reliability and high performance when connecting to the Internet through them. Due to the inherent problems of the wireless medium, these demands from the users pose significant challenges for network administrators. Learning how each part of the network behaves and how it is used is fundamental in addressing these challenges. As a network grows in scale and usage, these demands become an even greater challenge and it may not be feasible for administrators to use the same techniques that are used for small deployments. It is increasingly difficult for network administrators to maintain knowledge of infrastructure usage properties including usage patterns of individual