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The Research Of Android Security Detection Platform Based On Markov Chain Model

Posted on:2017-10-18Degree:MasterType:Thesis
Country:ChinaCandidate:Q HuFull Text:PDF
GTID:2348330485952682Subject:Computer technology
Abstract/Summary:PDF Full Text Request
Today,people's daily life is integrated with smartphones,with its constantly improve of powerful function for processing,smartphones has covered all aspects of the life and the Android operating system as a powerful mobile computing platform,occupies more and more mobile phone market.It has the characteristics of openness flexibility and easy to development,at the same time,its security problem also gradually aroused people's attention.With the popular of the Android operating system,the malicious software.Android security mechanism through the Linux kernel,runtime,the application framework,such as system structure,multiple levels,and penetrated the details of the application components and other functional modules,the protection of user information,wireless communications equipment and network security are big request.This paper process a point that we should protect the interests of the Android mobile phone users' privacy then use detect and recognition system of malicious attacks and malicious software as the goal.Recognition phone feature of malicious software code and combin with its possible adverse effects on the user's behavior characteristics to detect recognition Android malware in the system.In order to ensure the safety of the cell phone users.1.Through the overview of the Android system security,introduct the current Android platform security mechanism as well as the detection method,summarizes the current malware attack intention for the Android platform and means of attack.2.Study the Android installed software structure,analysis APK installation file dex file structure distribution,according to the character of its code defines the safety factor of the software.3.Define the user operation behavior and application practice,through the mobile phone monitoring to monitor data in real time.Then to provide protection for the safety inspection.4.The design code based on Markov chain model characteristics and operation behavior anomaly detection algorithm is proposed.Finally though the integral design of the safety monitoring system to realize the Android malware detection.
Keywords/Search Tags:Markov, detection and recognition, behavior characteristics, Android
PDF Full Text Request
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