| With the rapid development of computer science technology, automobile manufacturing enterprises began to focus on its after-sales service in order to enhance their competitiveness. Becaues auto parts sales business involved many enterprises in its upstream and downstream industry, it caused the existing systems to appear some problems such as low efficiency, information feedback lag and so on. In this case, automobile manufacturing enterprises must use a suitable information system as technical support in order to adapt to these changes better. Based on this background and research results at home and abroad, this thesis implemented a system which is called’Auto Parts Sales System Based On Industrial Chain Collaboration Service Platform’. The main researches of this thesis are as follows:(1) This thesis analyzed the current situation of auto parts sales, combined with the problems in current parts sales system, summed up changes in current industry chain collaboration mode and finally made new requirements for auto parts sales business.(2) According to the system requirement analysis, this thesis did the overall design of the system. Firstly, the overall solution, system architecture and function modules were designed. Secondly, the business processes of system and data protection schemes were designed in detail. Thirdly, this thesis built the data model and designed the database.(3) Aiming at data protection requirements of the system, combining with its data storage characteristics, this thesis proposed a certificateless signcryption algorithm based on hyperelliptic churve, a homomorphic encryption algorithm and a ciphertext retrieve algorithm. Then, it analyzed the efficiency and security of these algorithms.(4) This thesis expounds the development of the system detailedly. It introduced the environment and tools of system development at first. Then, it showed the key code of algorithm. Finally, the core functions were implemented and verified. |
PDF Full Text Request