An Empirical Assessment of Security and Privacy Risks of Web-Based Chatbots

Waheed, Nazar; Ikram, Muhammad; Hashmi, Saad Sajid; He, Xiangjian; Nanda, Priyadarsi

doi:10.1007/978-3-031-20891-1_23

Cited by 8 publications

(2 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the aid of Tidio's [23] conversational AI chatbot, you can improve your customer service and increase sales. You can design your AI bot exactly how you want because it is simple to use.…”

Section: Related Workmentioning

confidence: 99%

CO-BOT: An Intelligent Technique for Designing a Chatbot for Initial COVID-19 Test

Das

Nath

Banerjee³

et al. 2022

j. of Comput. sci. res.

View full text Add to dashboard Cite

The coronavirus (nCOV-19), which was discovered, has now spread around the world. However, managing the flow of a large number of cases has proven to be a significant issue for hospitals or healthcare professionals. It is becoming increasingly challenging to speak with a medical expert after the epidemic’s initial wave has passed, particularly in rural areas. Thus, it becomes clear that a Chatbot that is well-designed and implemented can assist patients who are located far away by advocating preventive actions, and viral updates in various cities, and minimising the psychological harm brought on by dread. In this study, a sophisticated Chabot’s design for diagnosing individuals who have been exposed to COVID-19 is presented, along with recommendations for immediate safety measures. Additionally, when symptoms grow serious, this virtual assistant makes contact with specialised medical professionals.

show abstract

Section: Related Workmentioning

confidence: 99%

CO-BOT: An Intelligent Technique for Designing a Chatbot for Initial COVID-19 Test

Das

Nath

Banerjee³

et al. 2022

j. of Comput. sci. res.

View full text Add to dashboard Cite

show abstract

“…In this case, the companies can store personal data legally. However, the user might not be aware that their data is disclosed to third parties [19,20].…”

Section: Introductionmentioning

confidence: 99%

A Systematic Literature Review of Information Security in Chatbots

et al. 2023

View full text Add to dashboard Cite

Chatbots have become increasingly popular in recent years, but they also present security risks and vulnerabilities that need to be addressed. This systematic literature review examines the existing research relating to information security in chatbots, identifying the potential threats, proposed solutions, and future directions for research. The review finds that chatbots face various security threats, including malicious input, user profiling, contextual attacks, and data breaches, and that solutions such as blockchain technology, end-to-end encryption, and organizational controls can be used to mitigate these concerns. The review also highlights the importance of maintaining user trust and addressing privacy concerns for the successful adoption and continued use of chatbots. A taxonomy developed in this review provides a useful framework for categorizing the articles and their findings. The review concludes by identifying future research directions that include developing more sophisticated authentication and authorization mechanisms, exploring the use of privacy-enhancing technologies, and improving the detection and prevention of security threats, among others. This review contributes to the growing body of literature on information security in chatbots and can guide future research and practice in this field.

show abstract

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

View full text Add to dashboard Cite

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.

show abstract

An Empirical Assessment of Security and Privacy Risks of Web-Based Chatbots

Cited by 8 publications

References 19 publications

CO-BOT: An Intelligent Technique for Designing a Chatbot for Initial COVID-19 Test

CO-BOT: An Intelligent Technique for Designing a Chatbot for Initial COVID-19 Test

A Systematic Literature Review of Information Security in Chatbots

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

Contact Info

Product

Resources

About