物联网数据属性基加密算法的设计与仿真  

Design and Simulation of Attribute Based Encryption Algorithm for Internet of Things Data

作　　者：欧阳应龙 朱军 晏巢淞 OUYANG Ying-long;ZHU Jun;YAN Chao-song(School of Engineering&Applied Science,George Washington University,Washington DC 20052,USA;School of Computer Science and Technology,Harbin Engineering University,Heilongjiang Harbin 150001,China;School of Information Engineering,Washington University in St.Louis,St.Louis Missouri 63130,USA)

机构地区：[1]乔治华盛顿大学工程与应用科学学院,美国华盛顿特区20052 [2]哈尔滨工程大学计算机科学与技术学院,黑龙江哈尔滨150001 [3]华盛顿圣路易斯大学奥林学院,美国密苏里州圣路易斯市63130

出　　处：《计算机仿真》2022年第5期380-383,共4页Computer Simulation

摘　　要：目前的物联网数据属性基加密方法无法获取物联网数据查询代价,物联网查询代价过大,导致加密的比特出错概率较高、耗时较长。为优化数据属性基加密效果,提出基于Greenplum数据库的物联网数据属性基加密方法。构建代价模型,预估物联网数据查询代价。采用基于蚁群算法的代价模型寻优方法搜索具有最小查询代价的连接顺序,获得最优物联网数据查询计划。采用基于EHAS-CP-ABE的物联网数据属性基加密方案实现查询数据的属性基加密仿真。实验证明:不同查询方案下,研究方法优化后的查询效率大幅度提升,比特出错概率一直在标准范围内波动,最高值仅为0.6左右,实验结果表明该方法下物联网数据属性基加密效果更好。The current Internet of things data attribute encryption method has the disadvantages of high error probability and long time-consuming.An Internet of things data attribute base encryption method of Internet of things based on Greenplum database is presented for optimizing the data attribute base encryption.The cost model was built to estimate the cost of Internet of things data query.The cost model optimization method based on ant colony algorithm was introduced to search the connection order with the minimum query cost in order to obtain the optimal Internet of things data query plan.Based on the EHAS-CP-ABE data attribute-based encryption scheme of the Internet of things,the attribute-based encryption simulation of query data was completed.Experiments show that the optimized query efficiency of this method is significantly improved,and the bit error probability is within the standard range(the highest value is about 0.6),indicating that this method has excellent attribute-based encryption effect of Internet of things data.

关 键 词：数据库 物联网数据 属性基 加密仿真 蚁群算法 查询代价 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]