Confidential FRIT via Homomorphic Encryption
Fuente:
arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909878083125248 |
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| author | Hoshino, Haruki Park, Jungjin Kaneko, Osamu Kogiso, Kiminao |
| author_facet | Hoshino, Haruki Park, Jungjin Kaneko, Osamu Kogiso, Kiminao |
| contents | Edge computing alleviates the computation burden of data-driven control in cyber-physical systems (CPSs) by offloading complex processing to edge servers. However, the increasing sophistication of cyberattacks underscores the need for security measures that go beyond conventional IT protections and address the unique vulnerabilities of CPSs. This study proposes a confidential data-driven gain-tuning framework using homomorphic encryption, such as ElGamal and CKKS encryption schemes, to enhance cybersecurity in gain-tuning processes outsourced to external servers. The idea for realizing confidential FRIT is to replace the matrix inversion operation with a vector summation form, allowing homomorphic operations to be applied. Numerical examples under 128-bit security confirm performance comparable to conventional methods while providing guidelines for selecting suitable encryption schemes for secure CPS. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_26179 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Confidential FRIT via Homomorphic Encryption Hoshino, Haruki Park, Jungjin Kaneko, Osamu Kogiso, Kiminao Cryptography and Security Systems and Control Edge computing alleviates the computation burden of data-driven control in cyber-physical systems (CPSs) by offloading complex processing to edge servers. However, the increasing sophistication of cyberattacks underscores the need for security measures that go beyond conventional IT protections and address the unique vulnerabilities of CPSs. This study proposes a confidential data-driven gain-tuning framework using homomorphic encryption, such as ElGamal and CKKS encryption schemes, to enhance cybersecurity in gain-tuning processes outsourced to external servers. The idea for realizing confidential FRIT is to replace the matrix inversion operation with a vector summation form, allowing homomorphic operations to be applied. Numerical examples under 128-bit security confirm performance comparable to conventional methods while providing guidelines for selecting suitable encryption schemes for secure CPS. |
| title | Confidential FRIT via Homomorphic Encryption |
| topic | Cryptography and Security Systems and Control |
| url | https://arxiv.org/abs/2510.26179 |