Location-Based Secure Outsourced Aggregation Scheme In IoT

With the rapid development of wireless network,the popularization of Io T applications has gradually changed the way we live and work.Data aggregation is a key technology in Io T,and sensors are one of the most important components of aggregation.However,sensors are usually limited in energy and bandwidth.Therefore,we usually outsource computing tasks to cloud servers in practice.What's more,location-based services have become more and more widely used in many industries recently.The location information of the data plays an important role in some location-sensitive scenarios.Some related work on data aggregation focus on optimizing the network topology to reduce transmission overhead and network bandwidth.Others achieving end-to-end encryption by using cryptographic methods,ensuring the security of data.However,as far as we know,there is little work combining the location information of the data source with aggregation,considering the security of aggregation in location-sensitive scenarios.Therefore,we need to design a scheme which can achieve location-based secure outsourced aggregation in Io T.This thesis studies the secure outsourced aggregation based on actual application scenar-ios.First,we present location-based secure outsourced aggregation scheme supporting ba-sic function(LBOA_basic).We present the system model,adversary model and design goals.Then we propose scheme LBOA_{M ax},which can return the maximum value of sensory data whose location satisfies location strategy by applying vector operations based on geometric relations,one-way chain,order-preserving encryption and some other cryptography opera-tions.Next,we propose scheme LBOA_{T op-k}and scheme LBOA_Sumwhich can return the largest k values and the summation of data based on location,respectively.Then,we propose scheme LBOA_arbiwhich supports arbitrary aggregation functions by applying symmetirc-key predicate encryption,fully homomorphic encryption and some other cryptography op-erations.This thesis analyzes the security and tests the performance of our proposed schemes.The security analysis results show that our proposed schemes can satisfy all the design goals.The performance analysis results show that the schemes proposed in this thesis are feasible in practice.