Research On Security Technologies Of Information And Communication For Smart-Healthcare

Smart healthcare is a new type of medical and health service industry that integrates artificial intelligence,Internet of things,cloud computing,big data,mobile Internet,sensor technology and other new generation information technologies,and is closely integrated with traditional medical and health services.Using the advanced Internet technology,Internet technology and mobile communication technology,etc.,by means of wisdom will be related to health,health,health,services,equipment,personnel,information and resources,and realize the effective interaction,ensure people timely access to prevention,treatment,medical service,to realize our country Internet+medical policy,improve the urban quality of life have a significant effect..Smart healthcare are gradually changing people’s thinking mode and lifestyle with the gradual maturity of relevant theories and technologies.However,smart healthcare system has unique characteristics including heterogeneous integration,cross-domain,collaborative autonomy,dynamic changes and open interconnection raise security challenges for information security and communication security.Therefore,the research of information security and communication security technology is of great significance to the healthy development of smart healthcare.We focuses on the data security storage,data security collection and signal burst detection technology research of smart healthcare in this paper.The main contributions are as follows:1、A new public auditing protocol with self-certified public keys for medical data.Cloud storage can provide a way to effectively store and manage big data.However,due to the separation of data ownership and management,it is difficult for users to check the integrity of data in a traditional way,which leads to the introduction of the auditing techniques.In this paper,a novel public auditing protocol is proposed with self-certified public key system.The security analysis shows that attackers can neither derive user’s secret key nor derive users?data from the collected auditing information in the presented scheme.Furthermore,it can effectively against not only the signature forging attacks,but also the proofs forging attacks.Compared with other public auditing scheme,our scheme based on the self-certified public key system has been improved in storage overhead,communication bandwidth and verification efficiency.2、A Privacy-Preserving Scheme for Data Collection in Healthcare Services Systems.The widely use of IoT technologies in healthcare services has pushed forward medical intelligence level of services.However,it also brings potential privacy threat to the data collection.In healthcare services system,health and medical data that contains privacy information are often transmitted among networks,and such privacy information should be protected.Therefore,there is a need for privacy-preserving data collection（PPDC）scheme to protect clients（patients）data.We adopt（a,k）-anonymity model as privacy pretection scheme for data collection,and propose a novel anonymity-based PPDC method for healthcare services in this paper.The threat model is analyzed in the client-server-to-user（CS2U）model.On client-side,we utilize（a,k）-anonymity notion to generate anonymous tuples which can resist possible attack,and adopt a bottom-up clustering method to create clusters that satisfy a base privacy level of（a₁,k₁）-anonymity.On server-side,we reduce the communication cost through generalization technology,and compress（a₁,k₁）-anonymous data through an UPGMA-based cluster combination method to make the data meet the deeper level of privacy（a₂,k₂）-anonymity（a₁≥a₂,k₂≥k₁）.Theoretical analysis and experimental results prove that our scheme is effective in privacy-preserving and data quality.3、Research on signal communication security technology of medical equipment.Performance Analysis of a Diferential?Correlation Based Burst Detection Method.Burst detection is an initial step for burst-mode demodulation.The theoretical performance of a diferential-correlation based burst detection（DCBD）method is analyzed.The expressions of miss detection probability and false alarm probability（FAP）of this method are derived.The FAP arisen from message signals are also considered and proved to be close to the FAP arisen from noise signals,which is not covered in other similar works.Based on the theoretical analysis,the properties of the detection method are concluded.Both the analytical analysis and the simulation results show that DCBD is robust to frequency ofset and is a CFAR method.Furthermore,the detection threshold is independent of the signal amplitude.These properties indicate that DCBD is very proper and practical for burst detection.The analytical results also give references how the threshold should be set to meet the system performance requirements for various signal conditions.