| Title | A Survey on Amazon Alexa Attack Surfaces |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Lit, Yanyan, Kim, Sara, Sy, Eric |
| Conference Name | 2021 IEEE 18th Annual Consumer Communications Networking Conference (CCNC) |
| Keywords | Alexa skills, Amazon Alexa, attack surface, attack surfaces, Data collection, echo, Ecosystems, Internet of Things, Metrics, privacy, pubcrawl, Resiliency, Scalability, security, Speech recognition, Surface treatment, usability, Virtual assistants, voice hacking |
| Abstract | Since being launched in 2014, Alexa, Amazon's versatile cloud-based voice service, is now active in over 100 million households worldwide [1]. Alexa's user-friendly, personalized vocal experience offers customers a more natural way of interacting with cutting-edge technology by allowing the ability to directly dictate commands to the assistant. Now in the present year, the Alexa service is more accessible than ever, available on hundreds of millions of devices from not only Amazon but third-party device manufacturers. Unfortunately, that success has also been the source of concern and controversy. The success of Alexa is based on its effortless usability, but in turn, that has led to a lack of sufficient security. This paper surveys various attacks against Amazon Alexa ecosystem including attacks against the frontend voice capturing and the cloud backend voice command recognition and processing. Overall, we have identified six attack surfaces covering the lifecycle of Alexa voice interaction that spans several stages including voice data collection, transmission, processing and storage. We also discuss the potential mitigation solutions for each attack surface to better improve Alexa or other voice assistants in terms of security and privacy. |
| DOI | 10.1109/CCNC49032.2021.9369553 |
| Citation Key | lit_survey_2021 |
A Survey on Amazon Alexa Attack Surfaces