Multifactor Authentication Approach on Internet of Things: Children's Toys

Alanazi, Manal; Aborokbah, Majed

doi:10.1109/iccit52419.2022.9711596

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…For app developers, we suggest enabling multifactor authentication (Alanazi & Aborokbah, 2022) to ensure that children only use such age-appropriate mental apps under adult supervision (Lewis, 2020). Similar concerns regarding age have been identified with respect to apps for depression (Sanches et al, 2019) but in the case of AI-based apps for mental health the ethical implications are arguably more concerning, and much care is needed to safeguard children' safety and privacy.…”

Section: Towards Clinically Valid Conversational Agents To Address Et...mentioning

confidence: 90%

Review of AI-Based Mental Health Apps

Alotaibi,

Sas

2023

Electronic Workshops in Computing

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The last decade has seen a significant growth of HCI research in mental health technologies while Artificial intelligence raises both challenges and opportunities to better support symptom identification or personalization of interventions. There has been also a growth of commercial AIbased mobile apps for mental health. Despite emerging HCI work on reviewing mental health apps, those that are AI-based have received limited attention. To address this gap, we report a functionality review of 13 apps selected from 127 apps from the Apple Store. The selection criteria involved a minimum rating of 4 out of 5. After eliminating duplicates, irrelevant, and low-rated apps, an expert evaluation and auto-ethnography approach were used to explore apps' functionalities. Findings indicate that apps support functions such as tracking and detecting emotions and moods, providing recommendations for therapy and well-being interventions, and supporting talking therapy through conversational agents powered by Natural Language Processing models. A critical finding is apps' limited support for AI literacy and explainability, as well as limited consideration for ethical concerns regarding personal data, its reliability, and algorithmic biases. Our paper concludes with three design implications for AI-based mental health apps towards developing conversational agents to support Cognative Behavoural Therapy interventions based on tracked multimodal data, addressing the ethics of NLP biases, and user exploration of AI-based models and their explainability.

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Section: Towards Clinically Valid Conversational Agents To Address Et...mentioning

confidence: 90%

Review of AI-Based Mental Health Apps

Alotaibi,

Sas

2023

Electronic Workshops in Computing

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Blockchain-Enhanced Multi-Factor Authentication for Securing IoT Children's Toys

Alkhatib,

Albdor,

Fayyad

et al. 2024

IJCESEN

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The rapid expansion of Internet of Things (IoT) devices underscores the critical importance of robust security protocols, particularly in the realm of children's toys. This study introduces an innovative multi-factor authentication strategy integrating Quick Response (QR) codes with Blockchain technology to fortify the security of IoT toys designed for children. The primary objective is to safeguard young users against potential threats stemming from unauthorized access, thereby ensuring a secure interaction with IoT-enabled toys. By amalgamating authentication factors, including QR codes, the proposed approach establishes a multilayered security framework. Leveraging the inherent immutability and transparency of Blockchain, the system verifies the authenticity of IoT toys by scanning a unique QR code, thus mitigating risks associated with malwares and unauthorized access. The decentralization of Blockchain ensures no single point of failure, enhancing resilience against cyber threats. Extensive usability studies underscore the efficacy and practicality of the advanced multi-factor authentication solution, poised to elevate the safety standards of IoT toys in the digital age. This innovative approach not only bolsters security but also fosters trust among users, enabling seamless and worry-free interaction with IoT-enabled toys for children worldwide.

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Multifactor Authentication Approach on Internet of Things: Children's Toys

Cited by 2 publications

References 11 publications

Review of AI-Based Mental Health Apps

Review of AI-Based Mental Health Apps

Blockchain-Enhanced Multi-Factor Authentication for Securing IoT Children's Toys

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