Conceptual Model for Automating GDPR Compliance Verification Using Natural Language Approach-Reference-Cited by-同舟云学术

Conceptual Model for Automating GDPR Compliance Verification Using Natural Language Approach

Published:2022-12-03 Issue: Volume: Page:
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Container-title:2022 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE)
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Author:

Aborujilah Abdulaziz¹,Al-Othmani Abdulaleem Z.²,Long Zalizah Awang³,Hussien Nur Syahela³,Ghani Dahlan Abdul³

Affiliation:

1. Malaysian Institute of Information Technology, Universiti Kuala Lumpur,Cybersecurity & Technological Convergence, Department,Malaysia

2. Cyber Technology Institute (CTI,) De Montfort University Leicester,United Kingdom

3. Malaysian Institute Of Information Technology (MIIT),Universiti Kuala Lumpur,Malaysia

Funder

Universiti Kuala Lumpur

Publisher

IEEE

Link

Reference46 articles.

1. Privee: An architecture for automatically analyzing web privacy policies;zimmeck;23rd USENIX Security Symposium ( USENIX Security 14),2014

3. Litman-Navarro, K.We Read 150 Privacy Policies. TheyWere an Incomprehensible Disaster, in New York Times, ed. 12 June,2021

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2. A BERT-based Empirical Study of Privacy Policies’ Compliance with GDPR;2023 IEEE Conference on Communications and Network Security (CNS);2023-10-02

3. ML-Based Compliance Verification of Data Processing Agreements against GDPR;2023 IEEE 31st International Requirements Engineering Conference (RE);2023-09