Department of Mathematics and Computer Science, Adelphi University, New York 11530,
| Abstract: | Through a large number of literature surveys, this paper finds that: In the application of face recognition technology, although countries in the world today have established different personal data protection mechanisms, promulgated data security laws and regulations, and many technical prevention measures, there are still a large number of cases of malignant leakage, damage or tampering of corporate and personal data around the world. This shows that there are vulnerabilities in technical preventive measures, industry norms and national laws and regulations policies. Through a large number of investigation and literature research and analysis, this paper puts forward the following views: The application of face recognition technology must be parallel from the three dimensions of technical means, industry standards, laws and regulations, and implement a multi-directional, full-life cycle effective protection of personal privacy information. |
| Keywords: | Face Recognition; Cybersecurity; Privacy Protection; Technical Means; CCPA; GDPR |
| DOI: | 10.57237/j.cst.2024.04.004 |
| [1] | Meng Wang, “Identifying Personal Physiological Data Risks to the Internet of Everything: the case of facial data breach risks”. School of Journalism and Information Communication, Huazhong University of Science and Technology, Wuhan, Hubei Province, China. (2023). |
| [2] | Hafiz Sheikh Adnan, “Ahmed Facial Recognition Technology and Privacy Concerns”. Date Published: 21 December 2022. |
| [3] | Insaf Adjabi, “Past, Present, and Future of Face Recognition: A Review”. Electronics 2020, 9(8), 1188; https://doi.org/10.3390/electronics9081188 |
| [4] | Eimad Abusham, “Facial Image Encryption for Secure Face Recognition System”. Electronics 2023, 12(3), 774; https://doi.org/10.3390/electronics12030774 |
| [5] | Lixiang LiA, “Review of Face Recognition Technology”. Electronic ISSN: 2169 (2020): 3536; https://ieeexplore.ieee.org/document/9145558 |
| [6] | Gavin Wright, “Side-channel Attack”. TechTarget; (2023). https://www.techtarget.com/searchsecurity/definition/side-channel-attack |
| [7] | Zhiyuan Cheng, “Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches”. Computer Science > Computer Vision and Pattern, Recognition; (2022). https://arxiv.org/abs/2207.04718 |
| [8] | Rushank Shah, IEEE Xplore; “Encryption of Data over HTTP (Hypertext Transfer Protocol) / HTTPS (Hypertext Transfer Protocol Secure) Requests for Secure Data transfers over the Internet”. (2021) https://ieeexplore.ieee.org/document/9573978 |
| [9] | Akhil Bhadwal, upGrad; “Image Encryption: An Information Security Perceptive”. (2023) https://www.knowledgehut.com/blog/security/encrypting-images#what-is-image-encryption?%C2%A0 |
| [10] | Ambika, Medium; “Image Encryption: Linear Discriminant Analysis (LDA) in Machine Learning: Example, Concept and Applications”. (2023) https://medium.com/aimonks/linear-discriminant-analysis-lda-in-machine-learning-example-concept-and-applications-37f27e7c7e98 |
| [11] | Kaeli Britt, NEVADA Today; “How are deep fakes dangerous?”. (2023) https://www.unr.edu/nevada-today/news/2023/atp-deepfakes |
| [12] | Rahul Awati, TechTarget; “Advanced Encryption Standard (AES)”. (2023) https://www.techtarget.com/searchsecurity/definition/Advanced-Encryption-Standard |
| [13] | Peter Loshin, TechTarget; “Advanced Encryption Standard (DES)”. (2023) https://www.techtarget.com/searchsecurity/definition/Data-Encryption-Standard |
| [14] | Basel, PMC PubMed “Central; Face Image Encryption Based on Feature with Optimization Using Secure Crypto General Adversarial Neural Network and Optical Chaotic Map”. (2023) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921757/ |
| [15] | Luoyin Feng, PMC PubMed Central; “Image Recognition and Encryption Algorithm Based on Artificial Neural Network and Multidimensional Chaotic Sequence”. (2022) https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410944/ |
| [16] | Hendrik Richter, International Journal of Bifurcation and Chaos 12(6): 1371-1384; (2002) “The Generalized HÉnon Maps: Examples for Higher-Dimensional Chaos”. https://www.researchgate.net/publication/220265334_The_Generalized_HEnon_Maps_Examples_for_Higher-Dimensional_Chaos |
| [17] | Mustafa Kamil Khairullah, Electronics 2021, 10(17), 2116; “Designing 1D Chaotic Maps for Fast Chaotic Image Encryption”. https://www.mdpi.com/2079-9292/10/17/2116 |
| [18] | Andrew Froehlich, Cryptography (ECC). “Elliptical Curve” (2023) https://www.techtarget.com/searchsecurity/definition/elliptical-curve-cryptography |
| [19] | Michael Cobb, TechTarget; “RSA Algorithm (Rivest-Shamir-Adleman)”; (2023) https://www.techtarget.com/searchsecurity/definition/RSA |
| [20] | Rahul Awati, TechTarget; “Blowfish”. (2023) https://www.techtarget.com/searchsecurity/definition/Blowfish |
| [21] | Rahul Awati, National Police Board; “Finnish SA: Police Reprimanded for Illegal Processing of Personal Data with Facial Recognition Software”. (2021) https://www.edpb.europa.eu/news/national-news/2021/finnish-sa-police-reprimanded-illegal-processing-personal-data-facial_en |
| [22] | Chetan Conikee, Medium; “Suprema Security Breach: Protecting Apps from BioMetric Security Flaws”. (2019) https://blog.shiftleft.io/protecting-from-biometric-security-flaws-36618f7b020b |
| [23] | Mandeep Kaur, Hindawi; “Computational Image Encryption Techniques: A Comprehensive Review”. (2021) https://www.hindawi.com/journals/mpe/2021/5012496/ |
| [24] | Mark Thompson, CNN; “Police take down $249-a-month global phishing service used by 2,000 hackers” (2024). https://www.cnn.com/2024/04/18/tech/labhost-cybercrime-phishing-arrests/index.html |
We invite active, qualified and high profile scientists and researchers to join as Editorial Board Members.
Join UsScholars with a strong interest in reviewing are invited to join the reviewer panel to ensure the quality of the research to be published.
Join Us