Privacy Attack On IoT: a Systematic Literature Review

Zagi, Luqman Muhammad; Aziz, Baharuddin

doi:10.1109/iciss50791.2020.9307568

Cited by 2 publications

(1 citation statement)

References 91 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Another privacy attacks survey [116] investigated the attacks against the machine learning approach using the taxonomy of attacks. Other works mainly focused on one specific privacy attack method or one specific attack field, such as the de-anonymization of graph data [51], social network attacks [121], IoT attacks [163], blockchain attacks [15] and location privacy attacks [148]. After several years of theoretical and practical development, new privacy attacking methods keep emerging, and some are also followed with innovative defense methods [170,136].However, despite the aforementioned work, form the lens of privacy attacks, no recent comprehensive review is available with a rigorous review of privacy preservation and attacks.…”

Section: Introductionmentioning

confidence: 99%

Digital Privacy Under Attack: Challenges and Enablers

Song¹,

Deng²,

Pokhrel³

et al. 2023

Preprint

View full text Add to dashboard Cite

Users have renewed interest in protecting their private data in the digital space. When they don't believe that their privacy is sufficiently covered by one platform, they will readily switch to another. Such an increasing level of privacy awareness has made privacy preservation an essential research topic. Nevertheless, new privacy attacks are emerging day by day. Therefore, a holistic survey to compare the discovered techniques on attacks over privacy preservation and their mitigation schemes is essential in the literature. We develop a study to fill this gap by assessing the resilience of privacy-preserving methods to various attacks and conducting a comprehensive review of countermeasures from a broader perspective. First, we introduce the fundamental concepts and critical components of privacy attacks. Second, we comprehensively cover major privacy attacks targeted at anonymous data, statistical aggregate data, and privacy-preserving models. We also summarize popular countermeasures to mitigate these attacks. Finally, some promising future research directions and related issues in the privacy community are envisaged. We believe this survey will successfully shed some light on privacy research and encourage researchers to entirely understand the resilience of different existing privacy-preserving approaches.

show abstract