Research On The Reputation Mechanism Of Preventing Internal Attack In Mobile Cloud Computing

With the rapid development of mobile Internet and cloud computing,a large number of application services based on mobile cloud platforms have emerged.Users in the use of mobile cloud services will be a large number of users in the process of data stored in the cloud,so to obtain abundant mobile cloud services at the same time,also brought mobile cloud computing platform and service new security issues:mobile cloud data in the process of storage,transmission and processing integrity,unauthorized modification,and access and encryption of information security threats such as distribution:At the same time,mobile terminals are vulnerable to attacks and viruses,leading to the disclosure of personal data and business data.Now,the MCC is vulnerable to both external and internal attacks.External attacks can be effectively solved by using the traditional cryptography theory and authentication method.Thetechnology is perfect and mature.However,the research on internal attacks is still relatively few,and the technology is not perfect and mature.The security threat of internal attacks is largely related to the credibility of the internal users or nodes.The accurate assessment of users/nodes'credibility and trust relationship can effectively and accurately describes the behavior of the user/node,understand the evolution of behavior over time,effectively identify the malicious attacks and judge the trend of the future behavior of user/node,thus improving the data security in MCC during the process of data acquisition,data transmission and data access.So,research on the internal attack defense techniques for data security and privacy protection in MCC is becoming a hot spot in current mobile cloud security research and key,received extensive attention of the industry and academia.In this paper,the reputation mechanism is organic combined with the data security and the novel reputation mechanism that is suitable for the MCC is proposed to enhance data security through heightening users/nodes'credibility during the process of data acquisition,data transmission and data access.The main work of this paper is as follows:(1)Firstly,a recommendation and incentive strategy based on dynamic game is proposed;Then combined with this strategy,a reliable recommendation credit evaluation model is established.Finally,a new transmission credibility mechanism based on dynamic game and reliable recommendation is proposed.Enhance data security by ensuring user credibility.(2)By using graph theory and the scene perception technology,on the basis of familiarity,correlation between users and data access behavior to achieve the user group of the establishment of the division and trusted relationship,this paper proposes a new classification based on the user and scene perception of reputation mechanism,through the user trusted to enhance data security.(3)Combining cross layer design and credit mechanism,in the node in the process of credit evaluation in the introduction of the MAC layer and network layer factors affecting user credit evaluation,to build a new protection relay node credible reputation mechanism,by providing reliable relay nodes to enhance data security.