Heterogeneous bioinformatic data encryption on portable devices Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1038/s41598-025-96350-7
With the popularity of mobile health monitoring and genome sequencing techniques, the scale of biomedical and genomic data grow rapidly, with their privacy receiving more and more concerns. Encryption technique plays an important role in many aspects of security guarantee for these data. For mobile devices, encryption is even more important yet more challenging, as these devices are usually used in environments that may not be well protected and have rather limited computing resources. With heterogeneous multi-core processors becoming popular on mobile devices to satisfy different needs of applications, designing heterogeneous algorithms to harness all the available resources are tricky but have the potential to deliver high performance. In this research, we study how to design the heterogeneous version for AES algorithm, a representative encryption algorithm, on such processor to improve throughput and energy efficiency. To alleviate the overhead, we proposed a hybrid strategy to firstly find optimal workload allocations for cores of the processor in the offline stage and then dynamically adjust the balance in the online stage to match the running environment. We do a series of experiments on common genome data, with results showing 25-400% improvements in throughput, and 5.5-2800% improvements in energy efficiency.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-025-96350-7
- https://www.nature.com/articles/s41598-025-96350-7.pdf
- OA Status
- gold
- References
- 37
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409152778
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4409152778Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-025-96350-7Digital Object Identifier
- Title
-
Heterogeneous bioinformatic data encryption on portable devicesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-04-03Full publication date if available
- Authors
-
Hao Chen, Xiaoyu Hong, Yao Cheng, Xiao-Jie Wang, Liyan Chen, Xuan Cheng, Juncong LinList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-025-96350-7Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-025-96350-7.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-025-96350-7.pdfDirect OA link when available
- Concepts
-
Encryption, Computer science, Data science, Computer securityTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
37Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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