QUANTITATIVE SELECTION OF SECURE ACCESS POLICIES FOR EDGE COMPUTING SYSTEM

    公开(公告)号:US20210392163A1

    公开(公告)日:2021-12-16

    申请号:US17298610

    申请日:2019-12-27

    Abstract: A quantitative method for the security access strategy selection of the edge computing terminals includes the following steps: S1. Quantifying and ranking the security risks according to the terminals and data application requirements under the edge computing system. S1. Quantifying and ranking the security risks according to the terminals and data application requirements under the edge computing system. S2. Calculating the security quantification value of terminal and data application. S3. Giving the weight coefficients for the security risk protection of the security access strategies for the terminal and data in the edge computing side. S4. Give the corresponding value of each security strategy to the corresponding terminal and data security protection. S5. Select the corresponding algorithm according to the data set in S4 to select the security strategies.

    Cross-layer Authentication Method based on Radio Frequency Fingerprint

    公开(公告)号:US20170251364A1

    公开(公告)日:2017-08-31

    申请号:US15310780

    申请日:2015-08-24

    Abstract: A cross layer, authentication method based on radio frequency fingerprint, it, includes the following steps: S1. In the first time slot, the legitimate transmitter A sends the first packet to the legitimate receiver B, and then B identifies the first data packet by the upper layer authentication; S2. The legitimate recipient B extracts the RF fingerprint eigenvector of the legitimate sender A, and stores it in the memory of the legitimate receiver B; S3. In the next time slot, the sender X sends the second packet to the legitimate receiver B, and the legitimate recipient B extracts the RF fingerprint eigenvector of the sender X; S4. Set sample of the RF fingerprint eigenvector; S5. legitimate receiver B estimates the similarity between the RF fingerprint eigenvector of the sender X and sample of the RF fingerprint eigenvector. This invention is in advantage of low computational complexity, small delay and high precision.

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