The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
“Alexa, Can I Trust You?”
Open accessAbstract
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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“Currently, it is possible to develop apps for consumer voice assistants (eg, skills for Amazon Alexa or actions for Google Assistant). However, these products may be of privacy [76] or safety concerns [77].”
From Voice-Based Conversational Agents for the Prevention and Management of Chronic and Mental Health Conditions: Systematic Literature Review (2021) · cites this paper as [77]
In the citing paper
“users still lack trust in voice-based chatbots [61] due to privacy concerns and security vulnerabilities [62]”
From Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior (2022) · cites this paper as [62]
In the citing paper
“AI has recently been the objective of substantial interest from policy-making and regulatory bodies, as well as in discussions and reflections on ethics, privacy management and trust [21].”
From Future directions for chatbot research: An interdisciplinary research agenda (2021) · cites this paper as [21]
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Citations
Cites
A survey of techniques for internet traffic classification using machine learning
Nguyen, T. T. T., & Armitage, G. (2008) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2008.080406 · Cited by 1,664
Rahbar, A. G., & Yang, O. W. W. (2008) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2008.080408 · Cited by 676
Guide to protecting the confidentiality of Personally Identifiable Information (PII)
McCallister, E., Grance, T., & Scarfone, K. A. (2010) · doi:10.6028/nist.sp.800-122 · Cited by 337
Realtime Encrypted Traffic Identification using Machine Learning
Gu, C., Zhang, S., & Sun, Y. (2011) · Journal of Software · doi:10.4304/jsw.6.6.1009-1016 · Cited by 20
Flagged first, then by citations
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
Cited by
Sorted by citations
Trust in Artificial Intelligence: Meta-Analytic Findings
Kaplan, A. D., Kessler, T. T., Brill, J. C., & Hancock, P. A. (2023) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208211013988 · Cited by 397
In bot we trust: A new methodology of chatbot performance measures
Przegalińska, A., Ciechanowski, L., Stróż, A., Gloor, P. A., & Mazurek, G. (2019) · Business Horizons · doi:10.1016/j.bushor.2019.08.005 · Cited by 355
Consumer trust and perceived risk for voice-controlled artificial intelligence: The case of Siri
Hasan, R., Shams, S. M. R., & Rahman, M. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2020.12.012 · Cited by 344
Harnessing Artificial Intelligence Capabilities to Improve Cybersecurity
Zeadally, S., Adi, E., Baig, Z. A., & Khan, I. A. (2020) · IEEE Access · doi:10.1109/access.2020.2968045 · Cited by 359
Gladden, M. E. (2019) · Social Sciences · doi:10.3390/socsci8050148 · Cited by 315
Metadata
- Authors
- Chung, H., Iorga, M., Voas, J., & Lee, S.
- Affiliations
- National Institute of Standards and Technology (US)
- Korea University (KR)
- Venue
- Computer
- Published
- 2017
- Volume
- 50
- Issue
- 9
- Pages
- 100-104
- ISSN
- 0018-9162 (ISSN-L)
- 1558-0814
- 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
- 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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