Review of Chatbot Security Systems

Eltahir, Asim Mohammed; Abdulla, Hussam M. Dahwa; Platoš, Jan; Snåšel, Václav

doi:10.1109/cscc55931.2022.00037

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Limitations Of Chatbots In Mhealth1

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2024

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Cited by 5 publications

(1 citation statement)

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“…Privacy and Security: Chatbots may collect and store personal health information, which may raise concerns about privacy and security. Chatbots may also be vulnerable to hacking or other cyberattacks, which may compromise the confidentiality and integrity of patient information [42].…”

Section: Limitations Of Chatbots In Mhealthmentioning

confidence: 99%

Chatbots: A game changer in mHealth

Chowdhury¹,

Haque²

2023

Preprint

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Section: Limitations Of Chatbots In Mhealthmentioning

confidence: 99%

Chatbots: A game changer in mHealth

Chowdhury¹,

Haque²

2023

Preprint

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A literature review of user privacy concerns in conversational chatbots: A social informatics approach: An Annual Review of Information Science and Technology (ARIST) paper

Gumusel

2024

Asso for Info Science & Tech

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Since the introduction of OpenAI's ChatGPT‐3 in late 2022, conversational chatbots have gained significant popularity. These chatbots are designed to offer a user‐friendly interface for individuals to engage with technology using natural language in their daily interactions. However, these interactions raise user privacy concerns due to the data shared and the potential for misuse in these conversational information exchanges. Furthermore, there are no overarching laws and regulations governing such conversational interfaces in the United States. Thus, there is a need to investigate the user privacy concerns. To understand these concerns in the existing literature, this paper presents a literature review and analysis of 38 papers out of 894 retrieved papers that focus on user privacy concerns arising from interactions with text‐based conversational chatbots through the lens of social informatics. The review indicates that the primary user privacy concern that has consistently been addressed is self‐disclosure. This review contributes to the broader understanding of privacy concerns regarding chatbots the need for further exploration in this domain. As these chatbots continue to evolve, this paper acts as a foundation for future research endeavors and informs potential regulatory frameworks to safeguard user privacy in an increasingly digitized world.

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Comprehensive framework for implementing blockchain-enabled federated learning and full homomorphic encryption for chatbot security system

Jalali,

Hongsong

2024

Cluster Comput

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Review of Chatbot Security Systems

Cited by 5 publications

References 40 publications

Chatbots: A game changer in mHealth

Chatbots: A game changer in mHealth

A literature review of user privacy concerns in conversational chatbots: A social informatics approach: An Annual Review of Information Science and Technology (ARIST) paper

Comprehensive framework for implementing blockchain-enabled federated learning and full homomorphic encryption for chatbot security system

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