A Modified Query Algorithm for Private Data Security Facing E-commerce

In order to improve personal data security in the electronic commerce, and to avoid information exposing of personal privacy, personal data was used as the encrypted principle, applying homomorphism and random perturbation to strengthen personal data security. This paper analyzes the usage of personal data in electronic commerce firstly, and then some solved method was given in the database currently. A new query algorithm was used to acquire improved encrypted data. This method can make the important data to be appeared with secret content in the Web service, and prevent personal data from being misused. The simulation results proved that the modified method can protect personal privacy effectively, and modified method has shorter response time.