Analysis of Evil Twin, Deauthentication, and Disassociation Attacks on Wi-Fi Cameras.

Millions of Wi-Fi cameras have been deployed in businesses and households in the last decade. Most of them are used to provide security surveillance services. It raises new security concerns because these cameras could become the target of various attacks. Among them, Evil Twin, Deauthentication, and Disassociation attacks are well-known, easy-to-launch, and dangerous ones. However, there is a lack of deep understanding and awareness of these attacks, as well as efficient mitigation mechanisms. In this paper, we design a set of experiments to demonstrate how easily and effectively these attacks can be launched from simple computing platforms like Raspberry Pi using publicly available, open-source, and easy-configurable tools toward a set of carefully selected, popular, and highly reputed Wi-Fi cameras. Based on our testing, we report our interesting observations and discuss the mitigation approaches. We believe these attacks are beyond cameras and we hope our work can bring serious attention to the security of Wi-Fi equipped devices.