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- research-articleOctober 2023
Security Risks on Video sharing social media platforms: A literature review
- Eric Blancaflor,
- Nathaniel Christian Alcantara,
- Aeron Charles Javier,
- Elson Benn Macalintal,
- Ireland John San Pedro,
- Christie Valero
ICCCM '23: Proceedings of the 2023 11th International Conference on Computer and Communications ManagementAugust 2023, Pages 235–240https://doi.org/10.1145/3617733.3617771As technology evolves, there is also the continuing rise of cyberattacks; hence, cybersecurity is essential in this digital age, especially on video sharing social media applications such as Tiktok, Dubsmash and Snapchat. These applications may collect ...
- extended-abstractNovember 2022
When to Collect Sensitive Category Data? Public Sector Considerations For Balancing Privacy and Freedom from Discrimination in Automated Decision Systems
CSCW'22 Companion: Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social ComputingNovember 2022, Pages 98–101https://doi.org/10.1145/3500868.3559460Automated Decision Systems (ADS) are being used to inform important decisions in government services. Concerns regarding discrimination in ADS have led to the rise of bias mitigation techniques, or data science practices that measure and adjust for ...
- surveySeptember 2022
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
- Paula Delgado-Santos,
- Giuseppe Stragapede,
- Ruben Tolosana,
- Richard Guest,
- Farzin Deravi,
- Ruben Vera-Rodriguez
ACM Computing Surveys (CSUR), Volume 54, Issue 11sArticle No.: 224, Pages 1–30https://doi.org/10.1145/3510579The number of mobile devices, such as smartphones and smartwatches, is relentlessly increasing, to almost 6.8 billion by 2022, and along with it, the amount of personal and sensitive data captured by them. This survey overviews the state of the art of ...
- research-articleJune 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
FAccT '22: Proceedings of the 2022 ACM Conference on Fairness, Accountability, and TransparencyJune 2022, Pages 1709–1721https://doi.org/10.1145/3531146.3533226Most proposed algorithmic fairness techniques require access to demographic data in order to make performance comparisons and standardizations across groups, however this data is largely unavailable in practice, hindering the widespread adoption of ...
- research-articleJanuary 2022
Integrated privacy decision in BPMN clinical care pathways models using DMN
Procedia Computer Science (PROCS), Volume 196, Issue C2022, Pages 509–516https://doi.org/10.1016/j.procs.2021.12.043AbstractPersonal data is highly affected by the witnessed digital transformation of healthcare processes. This process relies deeply on the connectivity and decentralization of healthcare systems and data repositories. In this context, value creation and ...
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- short-paperSeptember 2021
Assessing Algorithmic Fairness without Sensitive Information
GoodIT '21: Proceedings of the Conference on Information Technology for Social GoodSeptember 2021, Pages 325–328https://doi.org/10.1145/3462203.3475894As the prevalence of algorithmic decision-making increases, so does the study of algorithmic fairness. When this aspect is disregarded, bias and discrimination are created, reproduced or amplified. Accordingly, work has been done to harmonize ...
- research-articleMarch 2021
What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness
FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and TransparencyMarch 2021, Pages 249–260https://doi.org/10.1145/3442188.3445888As calls for fair and unbiased algorithmic systems increase, so too does the number of individuals working on algorithmic fairness in industry. However, these practitioners often do not have access to the demographic data they feel they need to detect ...
- research-articleJanuary 2021
Using e-government services and ensuring the protection of sensitive data in EU member countries
Procedia Computer Science (PROCS), Volume 192, Issue C2021, Pages 3457–3466https://doi.org/10.1016/j.procs.2021.09.119AbstractThe aim of the article is to show the development of the information society in Poland through the prism of the use of e-government services in comparison to the other EU countries. At the same time, as part of the research, the aim is to indicate ...
- research-articleMarch 2021
A Survey on Mobile User Perceptions of Sensitive Data and Authentication Methods
PCI '20: Proceedings of the 24th Pan-Hellenic Conference on InformaticsNovember 2020, Pages 346–349https://doi.org/10.1145/3437120.3437337The rapid evolution of mobile phone devices resulted in the conversion of a simple communication device to a complicated small portable computer offering a plethora of features and services. Sensitive data are now stored in devices that can be easily ...
- research-articleOctober 2020
PANDA: Partitioned Data Security on Outsourced Sensitive and Non-sensitive Data
ACM Transactions on Management Information Systems (TMIS), Volume 11, Issue 4Article No.: 23, Pages 1–41https://doi.org/10.1145/3397521Despite extensive research on cryptography, secure and efficient query processing over outsourced data remains an open challenge. This article continues along with the emerging trend in secure data processing that recognizes that the entire dataset may ...
- research-articleJuly 2020
On the tracking of sensitive data and confidential executions
DEBS '20: Proceedings of the 14th ACM International Conference on Distributed and Event-based SystemsJuly 2020, Pages 51–60https://doi.org/10.1145/3401025.3404097The production of large amounts of sensitive data raises growing concerns on confidentiality guarantees. Considering this, it is natural that data owners have an interest in how their data are being used. In this work, we propose Data aNd Application ...
- short-paperJuly 2020
The Role of Trust in Personal Data Sharing in the Context of e-Assessment and the Moderating Effect of Special Educational Needs
UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and PersonalizationJuly 2020, Pages 328–332https://doi.org/10.1145/3340631.3394876The current study investigated the role of trust in students' attitudes towards personal data sharing in the context of e-assessment, and whether this is different for students with special educational needs and disabilities (SEND). SEND students were ...
- research-articleJuly 2020
Cloud‐assisted secure and conjunctive publish/subscribe service in smart grids
IET Information Security (ISE2), Volume 14, Issue 4July 2020, Pages 470–481https://doi.org/10.1049/iet-ifs.2019.0086The publish/subscribe (P/S) service on Advanced Metering Infrastructure (AMI) servers of smart grid need to deal with huge amount of data, which may lead to data burst on AMI servers and serious server crash. Moreover, for protecting data security, ...
- research-articleJanuary 2020
Federated learning framework for mobile edge computing networks
CAAI Transactions on Intelligence Technology (CIT2), Volume 5, Issue 1March 2020, Pages 15–21https://doi.org/10.1049/trit.2019.0049The continuous growth of smart devices needing processing has led to moving storage and computation from cloud to the network edges, giving rise to the edge computing paradigm. Owing to the limited capacity of edge computing nodes, the presence of popular ...
- research-articleNovember 2019
A Secure String Class Compliant with PCI DSS
CECC 2019: Proceedings of the Third Central European Cybersecurity ConferenceNovember 2019, Article No.: 17, Pages 1–5https://doi.org/10.1145/3360664.3360681Computer programs often work with a variety of sensitive data and class String is widely used in object-oriented programming languages for this purpose. However, saving sensitive data to a String object is not safe as it is not encrypted and may still ...
- research-articleNovember 2019
Enhanced secure data backup scheme using multi‐factor authentication
IET Information Security (ISE2), Volume 13, Issue 6November 2019, Pages 649–658https://doi.org/10.1049/iet-ifs.2018.5380Remote data backup technology facilitates data storage for users. However, an attacker may intercept some sensitive data on transfer. To solve this problem, sensitive data should be encrypted before uploading to the remote storage. Thus, protecting the ...
- research-articleJuly 2019
Sensitive and Private Data Analysis: A Systematic Review
ICFNDS '19: Proceedings of the 3rd International Conference on Future Networks and Distributed SystemsJuly 2019, Article No.: 12, Pages 1–11https://doi.org/10.1145/3341325.3342002Each day an extensive amount of data is produced from various organisations, such as e-commerce, IT, hospitals, retail and supply chain, etc. Due to the expansion of computer devices and advances in technology this immense amount of data has been ...
- research-articleJanuary 2019
Implementing adaptive dragonfly optimization for privacy preservation in IoT
Journal of High Speed Networks (JHSN), Volume 25, Issue 42019, Pages 331–348https://doi.org/10.3233/JHS-190619IoT (Internet of Things) is a sophisticated analytics and automation system that utilizes networks, big data, artificial intelligence, and sensing technology, and is controlled by an embedded module. It allows one to use affordable wireless technology and ...
- research-articleJanuary 2019
A data masking utility to secure sensitive production data in non-production environment
International Journal of Knowledge Engineering and Data Mining (IJKEDM), Volume 6, Issue 22019, Pages 168–186https://doi.org/10.1504/ijkedm.2019.100781The right to privacy is a fundamental right. However, despite increasing recognition and awareness of data protection, there is still a lack of legal and institutional frameworks, processes, and infrastructure support to protect data and privacy rights. ...
- research-articleJune 2018
The unbearable lightness of consent: mapping MOOC providers' response to consent
L@S '18: Proceedings of the Fifth Annual ACM Conference on Learning at ScaleJune 2018, Article No.: 61, Pages 1–11https://doi.org/10.1145/3231644.3231659While many strategies for protecting personal privacy have relied on regulatory frameworks, consent and anonymizing data, such approaches are not always effective. Frameworks and Terms and Conditions often lag user behaviour and advances in technology ...