Code integrity attestation for PLCs using black box neural network predictions
Cyber-physical systems (CPSs) are widespread in critical domains, and significant damage can be caused if an attacker is able to modify the code of their programmable logic controllers (PLCs). Unfortunately, traditional techniques for attesting code integrity (i.e. verifying that it has not been mod...
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Main Authors: | CHEN, Yuqi, POSKITT, Christopher M., SUN, Jun |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2021
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Online Access: | https://ink.library.smu.edu.sg/sis_research/6583 https://ink.library.smu.edu.sg/context/sis_research/article/7586/viewcontent/plc_attestation_esecfse21.pdf |
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Institution: | Singapore Management University |
Language: | English |
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