Big Data and Privacy: Challenges and Opportunities

Azmoodeh, Amin; Dehghantanha, Ali

doi:10.1007/978-3-030-38557-6_1

Cited by 11 publications

(3 citation statements)

References 13 publications

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“…They have become a growing concern of deception on social and news media platforms [ 116 ]. While there have been some efforts to develop artificial intelligence-supported monitoring solutions, deepfakes are still capable of deceiving humans by bypassing artificial intelligence-based detection algorithms [ 117 ]. Only the combination of human deception and sophisticated artificial intelligence-guided detection systems can address these new deception detection challenges.…”

Section: Future Research Directionsmentioning

confidence: 99%

Financial Fraud and Deception in Aging

2023

Adv Geriatr Med Res

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Financial exploitation among older adults is a significant concern with often devastating consequences for individuals and society. Deception plays a critical role in financial exploitation, and detecting deception is challenging, especially for older adults. Susceptibility to deception in older adults is heightened by age-related changes in cognition, such as declines in processing speed and working memory, as well as socioemotional factors, including positive affect and social isolation. Additionally, neurobiological changes with age, such as reduced cortical volume and altered functional connectivity, are associated with declining deception detection and increased risk for financial exploitation among older adults. Furthermore, characteristics of deceptive messages, such as personal relevance and framing, as well as visual cues such as faces, can influence deception detection. Understanding the multifaceted factors that contribute to deception risk in aging is crucial for developing interventions and strategies to protect older adults from financial exploitation. Tailored approaches, including age-specific warnings and harmonizing artificial intelligence as well as human-centered approaches, can help mitigate the risks and protect older adults from fraud.

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Section: Future Research Directionsmentioning

confidence: 99%

Financial Fraud and Deception in Aging

2023

Adv Geriatr Med Res

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“…The knowledge about users' preferences, ratings, and other information is transferred from the source domain (domain with sufficient ratings) to the target domain (domain with insufficient ratings). However, the challenge in this approach is the users' privacy, as the leakage of user privacy leads to social and economic damage [7][8][9][10]. Therefore, to encourage the transfer of knowledge between the domains, approaches that supports secure transfer of knowledge are more practical [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation

2021

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Cross-domain recommender systems are known to provide solutions to the cold start and data sparsity problems in recommender systems. This can be achieved by leveraging sufficient ratings and users' profiles in one domain to enhance accurate recommendations in another domain. However, domains with sufficient ratings are not willing to share their users' ratings with other recommender systems or domains due to users' privacy and legal concern. Hence this shows a need for a privacy-preserving mechanism that encourages secure knowledge transfer between different domains. This study proposes a privacy-preserving cross-domain recommender system based on matrix factorization. Specifically, the study formally described the privacy requirements of a cross-domain recommender system, which are different from a single domain recommender system. It designs a new framework for a privacy-preserving cross-domain recommender system and then utilized the somewhat homomorphic encryption (SWHE) scheme to ensure users' privacy. The SWHE scheme was used to encrypt users' ratings in different domains, shared latent factor approach was implemented between the domains and extracted knowledge was securely transferred from the source domain to the target domain. We prove that users' privacy is secured throughout the stages involved in the proposed protocol. Experiments on both synthetic and real datasets demonstrate the efficiency of our protocol.

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“…They have become a growing concern of deception on social and news media platforms [104]. While there have been some efforts to develop artificial intelligence-supported monitoring solutions, deepfakes are still capable of deceiving humans by bypassing artificial intelligence-based detection algorithms [105]. Only the combination of human deception and sophisticated artificial intelligence-guided detection systems can address these new deception detection challenges.…”

mentioning

confidence: 99%

Financial Fraud and Deception in Aging

Ebner¹,

Pehlivanoglu²,

Shoenfelt³

2023

Preprint

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Financial exploitation among older adults is a significant concern with often devastating consequences for individuals and society. Deception p lays a critical role in financial exploitation, and detecting deception is challenging, especially for older adults. Susceptibility to deception in older adults is heightened by age -related changes in cognition, such as declines in processing speed and working memory, as well as socioemotional factors, including positive affect and social isolation. Additionally, neurobiological changes with age, such as reduced cortical volume and altered functional connectivity, are associated with declining deception detection and increased risk for financial exploitation among older adults. Furthermore, characteristics of deceptive messages, such as personal relevance and framing, as well as visual cues such as faces, can influence deception detection. Understanding the multi faceted factors that contribute to deception risk in aging is crucial for developing interventions and strategies to protect older adults from financial exploitation. Tailored approaches, including age-specific warnings and harmonizing artificial intelligence as well as human-centered approaches, can help mitigate the risks and protect older adults from exploitation.

show abstract

Big Data and Privacy: Challenges and Opportunities

Cited by 11 publications

References 13 publications

Financial Fraud and Deception in Aging

Financial Fraud and Deception in Aging

Privacy-Preserving Matrix Factorization for Cross-Domain Recommendation

Financial Fraud and Deception in Aging

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