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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
[ "熊金波(1981- ),男,湖南益阳人,博士,福建师范大学教授,主要研究方向为安全深度学习、移动群智感知、隐私保护技术等" ]
[ "毕仁万(1996- ),男,湖南常德人,福建师范大学硕士生,主要研究方向为安全深度学习、安全多方计算等" ]
[ "陈前昕(1996- ),男,福建泉州人,福建师范大学硕士生,主要研究方向为安全深度学习、隐私保护技术等" ]
[ "刘西蒙(1988- ),男,陕西西安人,博士,福州大学教授,主要研究方向为云安全、应用密码学、大数据安全等" ]
网络出版日期:2020-10,
纸质出版日期:2020-10-25
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熊金波, 毕仁万, 陈前昕, 等. 边缘协作的轻量级安全区域建议网络[J]. 通信学报, 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.
熊金波, 毕仁万, 陈前昕, 等. 边缘协作的轻量级安全区域建议网络[J]. 通信学报, 2020,41(10):188-201. DOI: 10.11959/j.issn.1000-436x.2020186.
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.
LIU Y , MA X , SHU L , et al . Internet of things for noise mapping in smart cities:state-of-the-art and future directions [J ] . IEEE Network , 2020 , 34 ( 4 ): 112 - 118 .
XIONG J , REN J , CHEN L , et al . Enhancing privacy and availability for data clustering in intelligent electrical service of IoT [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 2 ): 1530 - 1540 .
艾瑞咨询 . 中国智能物联网(AIoT)白皮书 [R ] .(2020-02-28)[2020-07-20 ] .
Iresearch . White paper on China’s artificial intelligent and Internet of things (AIoT)[R]. (2020-02-28)[2020-07-20 ] .
XIONG Z , LI W , HAN Q , et al . Privacy-preserving auto-driving:a GAN-Based approach to protect vehicular camera data [C ] // 2019 IEEE International Conference on Data Mining . Piscataway:IEEE Press , 2019 : 668 - 677 .
PÉREZ-HERNÁNDEZ F , TABIK S , LAMAS A , et al . Object detection binary classifiers methodology based on deep learning to identify small objects handled similarly:application in video surveillance [J ] . Knowledge-Based Systems , 2020 6 ( 194 ):105590.
XIONG J B , CHEN X , YANG Q , et al . A task-oriented user selection incentive mechanism in edge-aided mobile crowdsensing [J ] . IEEE Transactions on Network Science and Engineering , 2019 ,doi:10.1109/TNSE.2019.2940958.
CHEN Q , TANG S , YANG Q , et al . Cooper:cooperative perception for connected autonomous vehicles based on 3d point clouds [C ] // 2019 IEEE 39th International Conference on Distributed Computing Systems . Piscataway :IEEE Press , 2019 : 514 - 524 .
CHEN Q , MA X , TANG S , et al . F-cooper:feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds [C ] // 4th ACM/IEEE Symposium on Edge Computing . New York:ACM Press , 2019 : 88 - 100 .
LIN L , LIAO X , JIN H , et al . Computation offloading toward edge computing [J ] . Proceedings of the IEEE , 2019 , 107 ( 8 ): 1584 - 1607 .
WANG X , HAN Y , LEUNG V , et al . Convergence of edge computing and deep learning:a comprehensive survey [J ] . IEEE Communications Surveys & Tutorials , 2020 , 22 ( 2 ): 869 - 904 .
ZHAO Z , ZHENG P , XU S , et al . Object detection with deep learning:a review [J ] . IEEE Transactions on Neural Networks and Learning Systems , 2019 , 30 ( 11 ): 3212 - 3232 .
REN J , GUO Y , ZHANG D , et al . Distributed and efficient object detection in edge computing:challenges and solutions [J ] . IEEE Network , 2018 , 32 ( 6 ): 137 - 143 .
NIKOUEI S , CHEN Y , SONG S , et al . Real-time human detection as an edge service enabled by a lightweight CNN [C ] // 2018 IEEE International Conference on Edge Computing . Piscataway:IEEE Press , 2018 : 125 - 129 .
ZHANG H , ZHANG Z , ZHANG L , et al . Object tracking for a smart city using IoT and edge computing [J ] . Sensors , 2019 , 19 ( 9 ): 1987 - 2009 .
GIRSHICK R , DONAHUE J , DARRELL T , et al . Rich feature hierarchies for accurate object detection and semantic segmentation [C ] // Proceedings of the IEEE conference on Computer Vision and Pattern Recognition . Piscataway:IEEE Press , 2014 : 580 - 587 .
SIMONYAN K , ZISSERMAN A . Very deep convolutional networks for large-scale image recognition [J ] . arXiv Preprint,arXiv:1409.1556 , 2014
REN S , HE K , GIRSHICK R , et al . Faster R-CNN:towards real-time object detection with region proposal networks [C ] // Advances in Neural Information Processing Systems . Piscataway:IEEE Press , 2015 : 91 - 99 .
REDMON J , DIVVALA S , GIRSHICK R , et al . You only look once:unified,real-time object detection [C ] // Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . Piscataway:IEEE Press , 2016 : 779 - 788 .
XIONG J B , ZHAO M , BHUIYAN M , et al . An AI-enabled three-party game framework for guaranteed data privacy in mobile edge crowdsensing of IoT [J ] . IEEE Transactions on Industrial Informatics , 2019 ,do i:10.1109/TII.2019.2957130.
GENTRY C , . Fully homomorphic encryption using ideal lattices [C ] // Proceedings of the 41th Annual ACM Symposium on Theory of Computing . New York:ACM Press , 2009 : 169 - 178 .
DOWLIN N , GILAD-BACHRACH R , LAINE K , et al . Cryptonets:applying neural networks to encrypted data with high throughput and accuracy [C ] // International Conference on Machine Learning . New York:ACM Press , 2016 : 201 - 210 .
HESAMIFARD E , TAKABI H , GHASEMI M . CryptoDL:deep neural networks over encrypted data [J ] . arXiv Preprint,arXiv:1711.05189 , 2017
JUVEKAR C , VAIKUNTANATHAN V , CHANDRAKASAN A . Gazelle:a low latency framework for secure neural network inference [C ] // 27th USENIX Security Symposium . Berkeley:USENIX Association , 2018 : 1651 - 1669 .
HUANG K , LIU X M , FU S J , et al . A lightweight privacy-preserving CNN feature extraction framework for mobile sensing [J ] . IEEE Transactions on Dependable and Secure Computing , 2019 ,doi:10.1109/TDSC.2019.2913362.
LIU Y , MA Z , LIU X M , et al . Privacy-preserving object detection for medical images with Faster R-CNN [J ] . IEEE Transactions on Information Forensics and Security , 2019 ( 10 ):1.
LI F H , LI H , NIU B , et al . Privacy computing:concept,computing framework,and future development trends [J ] . Engineering , 2019 , 5 ( 6 ): 981 - 1192 .
BELANOVIĆ P , LEESER M , . A library of parameterized floating-point modules and their use [C ] // International Conference on Field Programmable Logic and Applications . Berlin:Springer , 2002 : 657 - 666 .
XIONG J B , BI R , ZHAO M , et al . Edge-assisted privacy-preserving raw data sharing framework for connected autonomous vehicles [J ] . IEEE Wireless Communications , 2020 , 27 ( 3 ): 24 - 30 .
BOGDANOV D , LAUR S , WILLEMSON J . Sharemind:a framework for fast privacy-preserving computations [C ] // European Symposium on Research in Computer Security . Berlin:Springer , 2008 : 192 - 206 .
BOGDANOV D , NIITSOO M , TOFTETAL T , et al . High-performance secure multi-party computation for data mining applications [J ] . International Journal of Information Security , 2012 , 11 ( 6 ): 403 - 418 .
MA Z , LIU Y , LIU X , et al . Privacy-preserving outsourced speech recognition for smart IoT devices [J ] . IEEE Internet of Things Journal , 2019 , 6 ( 5 ): 8406 - 8420 .
EVERINGHAM M , VANGOOL L , WILLIAMS C , et al . The PASCAL visual object classes challenge 2007(VOC2007)results [C ] // International Conference on Computer Vision . Piscataway:IEEE Press , 2007 : 1 - 24 .
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