Intelligent Virtual Assistant knows Your Life
Hyunji Chung, Sangjin Lee

TL;DR
This paper examines the privacy risks associated with cloud-based intelligent virtual assistants like Alexa, analyzing user data to reveal personal lifestyle patterns and highlighting potential security threats.
Contribution
It categorizes IVA-related data types and demonstrates how user lifestyle insights can be derived from Alexa usage data, emphasizing privacy concerns.
Findings
User interests and habits can be inferred from IVA data
Sleep and wakeup patterns are detectable from usage logs
Privacy threats to IVA users are significant and warrant attention.
Abstract
In the IoT world, intelligent virtual assistant (IVA) is a popular service to interact with users based on voice command. For optimal performance and efficient data management, famous IVAs like Amazon Alexa and Google Assistant usually operate based on the cloud computing architecture. In this process, a large amount of behavioral traces that include user voice activity history with detailed descriptions can be stored in the remote servers within an IVA ecosystem. If those data (as also known as IVA cloud native data) are leaked by attacks, malicious person may be able to not only harvest detailed usage history of IVA services, but also reveals additional user related information through various data analysis techniques. In this paper, we firstly show and categorize types of IVA related data that can be collected from popular IVA, Amazon Alexa. We then analyze an experimental dataset…
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Taxonomy
TopicsCloud Data Security Solutions · Blockchain Technology Applications and Security · IoT and Edge/Fog Computing
