Entropy deviation model for comparison of anonymity

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (13): 67-70.

Previous Articles Next Articles

Entropy deviation model for comparison of anonymity

YE Jun1，2, DING Yong1, LIU Yining1, CAO Jianyu1

1.School of Mathematics & Computational Science, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
2.School of Science, Sichuan University of Science & Engineering, Zigong, Sichuan 643000, China

Online:2012-05-01 Published:2012-05-09

匿名性比较的信息熵偏差模型

叶俊1，2，丁勇1，刘忆宁1，曹建宇1

1.桂林电子科技大学数学与计算科学学院，广西桂林 541004
2.四川理工学院理学院，四川自贡 643000

Abstract

Abstract: Anonymity is used in many schemes, but there is no accurate mathematical model to evaluate or compare anonymity. An entropy deviation model based on information entropy is proposed to compare the anonymity by quantifying anonymity. The model can be used to compare the anonymity of different systems. It seems to be objective and reasonable that weight is considered with every node according to its effects in anonymity system. The practicality of this model is illustrated with some examples, and then compared with other schemes, the results show the advantages of this model.

Key words: anonymity, information entropy, deviation, comparison model

摘要： 匿名性是很多协议都会用到的一种属性，但是如何来对匿名性进行量化和对匿名程度进行比较，目前还没有一个准确的数学模型。基于信息熵理论提出了将匿名性量化后进行比较的信息熵偏差模型。该模型能够用于不同的系统之间匿名性的比较，并且根据各个节点对系统的影响，客观、合理地给出了各个节点的权重。举例说明了模型的实用性，并且与其他模型进行比较说明了该模型的优越性。

关键词: 匿名性, 信息熵, 偏差, 比较模型

YE Jun1，2, DING Yong1, LIU Yining1, CAO Jianyu1. Entropy deviation model for comparison of anonymity[J]. Computer Engineering and Applications, 2012, 48(13): 67-70.

叶俊1，2，丁勇1，刘忆宁1，曹建宇1. 匿名性比较的信息熵偏差模型[J]. 计算机工程与应用, 2012, 48(13): 67-70.

[1]	WANG Peng, YE Xueyi, WANG Tao, QIAN Dingwei. Face Recognition Based on Double Variation and Double Space Local Directional Pattern [J]. Computer Engineering and Applications, 2021, 57(4): 91-99.
[2]	JIANG Kui, QIU Yuandong, ZHENG Haocheng. ICMPv6 DDoS Attack Detection Method Based on Information Entropy and LSTM [J]. Computer Engineering and Applications, 2021, 57(21): 148-154.
[3]	SONG Shijie, CHEN Kaiyan, ZHANG Yang. Security Evaluation Framework of Deep Learning Side Channel Analysis from Information Entropy [J]. Computer Engineering and Applications, 2021, 57(17): 138-146.
[4]	ZHANG Nianpeng, WU Xu, ZHU Qiang. Entropy-Based Oversampling Framework [J]. Computer Engineering and Applications, 2021, 57(13): 96-101.
[5]	SHU Shike, LI Lu. Multi-factor Quantitative Stock Selection Strategy Based on Sparsity Penalty [J]. Computer Engineering and Applications, 2021, 57(1): 110-117.
[6]	SONG Guochao, CHU Guanghui, WU Shaoxin. Location Privacy Protection Approach Based on Interval Region [J]. Computer Engineering and Applications, 2020, 56(8): 66-73.
[7]	CHEN Jiancu, WANG Yue, ZHU Xiaofei, LI Zhangyu, LIN Zhihang. Wild Animal Video Object Detection Method Combining Multi-feature Map [J]. Computer Engineering and Applications, 2020, 56(7): 221-227.
[8]	XU Jian, WEN Mi, ZHANG Kai. Improved [K]-Anonymous Incentive Mechanism Scheme Combined with Blockchain Technology [J]. Computer Engineering and Applications, 2020, 56(6): 111-116.
[9]	LIN Kezheng, ZHANG Yuanming, LI Haotian. Research on HOG Feature Extraction Algorithm Weighted by Information Entropy [J]. Computer Engineering and Applications, 2020, 56(6): 147-152.
[10]	BAI Fengbo, CHANG Lin, WANG Shifan, LI Bin, WANG Yingjie, ZHOU Hong, LIU Yao. Improved Method Study on Extracting Keywords in Chinese Judgment Documents [J]. Computer Engineering and Applications, 2020, 56(23): 153-160.
[11]	ZHANG Kaihui, ZHOU Zhiping, ZHAO Weidong. Collaborative Filtering Recommendation Algorithm Combined with CFDP and Time Factor [J]. Computer Engineering and Applications, 2020, 56(15): 80-85.
[12]	ZHANG Hang, SHENG Zhiwei, ZHANG Shibin, YANG Min. Application of Simhash Algorithm in Text Deduplication [J]. Computer Engineering and Applications, 2020, 56(11): 246-251.
[13]	HUANG Dongmei, LIANG Suling, WANG Zhenhua, SUN Jingqi, XU Shoujue. Dimensionality Reduction Method for Hyperspectral Remote Sensing Image Based on Information Entropy [J]. Computer Engineering and Applications, 2019, 55(6): 191-196.
[14]	GUAN Wei1, ZHANG Lei2. PSO Attributes Clustering for Preserving Location Privacy [J]. Computer Engineering and Applications, 2019, 55(5): 96-104.
[15]	LI Yaohua, WANG Xingzhou. Fault Diagnosis of Aircraft Hydraulic System [J]. Computer Engineering and Applications, 2019, 55(5): 232-236.

Entropy deviation model for comparison of anonymity

匿名性比较的信息熵偏差模型

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics