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1. 福建师范大学数学与信息学院,福建 福州 350117
2. 福建师范大学福建省网络安全与密码技术重点实验室,福建 福州 350007
3. 福州大学数学与计算机科学学院,福建 福州 350108
4. 福州大学网络系统信息安全福建省高校重点实验室,福建 福州 350108
Online First:2020-10,
Published:25 October 2020
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Jinbo XIONG, Renwan BI, Qianxin CHEN, et al. Towards edge-collaborative,lightweight and secure region proposal network[J]. Journal on Communications, 2020, 41(10): 188-201.
Jinbo XIONG, Renwan BI, Qianxin CHEN, et al. Towards edge-collaborative,lightweight and secure region proposal network[J]. Journal on Communications, 2020, 41(10): 188-201. DOI: 10.11959/j.issn.1000-436x.2020186.
针对边缘环境下的图像隐私泄露和计算效率问题,提出一种边缘协作的轻量级安全区域建议网络(SecRPN)。基于加性秘密共享方案设计一系列安全计算协议,由2台非共谋边缘服务器协作执行安全特征处理、安全锚变换、安全边界框修正、安全非极大值抑制等计算模块。理论分析证明了SecRPN的正确性和安全性,实际性能评估表明,计算和通信开销均远优于现有工作。
Aiming at the problem of image privacy leakage and computing efficiency in edge environment
a lightweight and secure region proposal network (SecRPN) was proposed.A series of secure computing protocols were designed based on the additive secret sharing scheme.Two non-collusive edge servers cooperate to perform calculation modules such as secure feature processing
secure anchor transformation
secure bounding-box correction
and secure non-maximum suppression.Theoretical analysis guarantees the correctness and security of SecRPN.The actual performance evaluation shows that SecRPN is outstanding in the computational cost and communication overhead compared with the existing works.
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