Cited by 230Privacy, Security, and Data ProtectionSpeech and dialogue systemsSecurity and Verification in Computing

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“Alexa, Can I Trust You?”

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Chung, Hyunji, Iorga, Michaela, Voas, Jeffrey, Lee, Sangjin·2017·Computer

DOI 10.1109/mc.2017.3571053PMC PMC5714311

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Abstract

Several recent incidents highlight significant security and privacy risks associated with intelligent virtual assistants (IVAs). Better diagnostic testing of IVA ecosystems can reveal such vulnerabilities and lead to more trustworthy systems.

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Research works printed but not linked: 9

anderson, 2017, How Burger King Revealed the Hackability of Voice Assistants
opam, 2017, Google's Super Bowl Ad Accidentally Set off a Lot of Google Homes
york, 2016, Dyn Statement on 10/21/2016 DDoS Attack
owens, 2016, Stranger Hacks Family's Baby Monitor and Talks to Child at Night, GlobeCOM San Francisco
rodionova, 2017, Burger King Ad Backfires after Asking Google What's in a Whopper and Is told'Cyanide, The Independent
wood, 2017, Devices Sprout Ears: What Do Alexa and Siri Mean for Privacy?, The Christian Science Monitor
2017, Exploring the Amazon Echo Dot Part 1 Intercepting Firmware Updates
liptak, 2017, Amazon's Alexa Started Ordering People Dollhouses after Hearing Its Name on TV
2016, Gartner Says Worldwide Spending on VPA-Enabled Wireless Speakers Will Top $2 Billion by 2020

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Authors: Chung, H., Iorga, M., Voas, J., & Lee, S.
Affiliations: National Institute of Standards and Technology (US)
Korea University (KR)
ORCID: Chung, Hyunji
Iorga, Michaela
Voas, Jeffrey
Lee, Sangjin
Venue: Computer
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2017
Volume: 50
Issue: 9
Pages: 100-104
ISSN: 0018-9162 (ISSN-L)
1558-0814
DOI: 10.1109/mc.2017.3571053
PMC: PMC5714311
OpenAlex: W2759491482
Cited by: 230
References: 4
Citations by year: 2026: 4 · 2025: 15 · 2024: 12 · 2023: 27 · 2022: 38 · 2021: 49 · 2020: 42 · 2019: 28 · 2018: 14 · 2017: 1
FWCI: 59.54
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
Locations: Computer (publishedVersion)
PubMed (publishedVersion)
PubMed Central (acceptedVersion)
Topics: Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
Physical Sciences › Computer Science › Artificial Intelligence › Speech and dialogue systems
Physical Sciences › Computer Science › Hardware and Architecture › Security and Verification in Computing
Keywords: virtual assistants, security vulnerabilities, privacy risks, trustworthiness, diagnostic testing, voice assistants

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