Research On Firewall System Of Smartphone For Android Platform

With the rapid development of the Internet, Mobile terminal hardware technology isbecoming mature. Online shopping, office and entertainment has become a part of people’slife by mobile terminal. At present our country has mobile intelligent mobile phone usersmore than300000000, which has the trend that the the user is more than the desktopcomputer system. However, when people enjoyed the efficiency and convenient, thenetwork security has become increasingly prominent, so the firewall installed for themobile terminal is called one of the important means for the protection of the mobileterminal information security.The firewall is safety protection system between the inside and outside,which is across between a computer system with the function of filter and limit the securityfunction through the specific data. On the desktop, the firewall has been used as the firstprotective umbrella and filter which can prevent most malware, viruses, hackers, securityand obvious effect, safety and high ratio of performance to price. Therefore, this articlefrom the desktop security firewall technology, the development of a firewall for the mobileterminal, the mobile terminal is expected to wear a protective coat.The basic working principle of firewall is to identify trusted and untrusted data.However, how to accurately identify the data? Different scholars and academic schoolshave different practices. In this paper, by the illumination of biology immune system,analysis of the biological immune system recognition of non-self and self, basic workingprinciple and remove nonego, found safe firewall working process of immune process andmobile terminal biological immune systems exist great similarities. Therefore, this paperuses artificial immune technology, basic algorithm as the mobile terminal firewall system.In the research of the mobile terminal firewall system, following aspects are mainlyincludes:Firstly, it analyzed the network security threats that mobile terminal faces, proposed theterminal firewall model AISF using artificial immune technology which realizes thefunction including data preprocessing, immune tolerance, negative selection, clonalevolution and data processing.Secondly, it improved immature detectors, and the random immature detectors willabandon the useless detector in self tolerance, but are likely to appear the same immature detector, detection range. Therefore, this paper puts forward the minimum distance methodto generate immature detectors. At first it is randomly generated initial detector, usingHamming distance to calculate the initial detector to the self set and the non-self sets thedistance between each data. Extracting initial detector to self and non-self minimumdistances. It calculated the ratio value. If it is greater than1that distance non-self set closer,initial detector into immature detectors.Thirdly, it improved negative selection algorithm.In the artificial immune algorithm,traditional negative selection algorithm is used for r-continuous bits matching mechanism,structure of the detector, and if two string alignment is found to have a continuous Rmatching position, then the two strings are matched. However, it will cause a constantprobability of detection, the detection efficiency and high rate of missing. Therefore, thispaper improved negative selection algorithm, adopted continuous bits matching method inthe corresponding special bits on the r-, and the mechanism, treatment is segmented teststring, and set different weights to each section of the string, the weighted processing.Theexperimental simulation results prove the effectiveness of the improved algorithm.Finally, designing Mobile terminal firewall system. Select the Android platform formobile terminal, and design of the firewall architecture,it improved the negative selectionalgorithm improved immature detector generating mechanism based on the establishmentof the firewall system, mobile terminal, the data coding, self/non-self sets to obtain,immature detectors generation module, immature detectors self-tolerance module, datadetection module, the detector module design and analysis of clone evolution.Experimental verification of the system model and system improvement than thetraditional model in the detection rate and the false positive rate are optimized greatly.