Research On Propagation Model And Data Hiding Of Benign Worm

As the network plays a more and more important part in the social life, the malicious worm does more harm to our life than traditional virus. But, traditional security technologies can't deal with malicious worms well any more, in order to make the spread of a malicious worm spreading under control, we need to take method which is different from the past method that carried out only to prevent a single malicious worm, as we know there are thousands of types of malicious worm, and each type worm can derive many variants, and even more, the malicious worm writers are using artificial intelligence to make the malicious worms to be hidden better. the research about malicious worms is needed urgently, and only we prepare well in technology, effective prevention and treatment can be adopted to deal with the malicious worms.There is few studies on benign worms for the preventive treatment of malicious worm, and most studies on benign worms do not consider the influence to the network system and user systems that the benign worm made in the process of fighting against malicious worms. So the study of proliferation and resources to take up of the benign worm there is positive theoretical and practical reference value for preventive treatment of malicious worm.The contribution of this article is as follow:Fisrtly, classifying the computers infected by benign worm to infected computer and scanning computer, which offers another viewpoint for reducing network flux in the proliferation of benign worm.Secondly, proposed a rotating scanning model based on feedback and a propagation algorithm based on B+ Address Tree(BAT). Simulated the propagation algorithm and compared it to the propagation algorithm based on Exponential Tree(ET). The result of simulation turns out that according to the malicious worm propagation in, we can choose different number of the scan hosts to spread benige worm. The result of the comparison demonstrates after the number of scan host attained the given number the network flux of the algorithm based on BAT is stable and was less than that of the algorithm based on ET.Thirdly, design and implement an application layer network protocol, which can be adopted to the model of the article, and a benign worm system, then test them. The results of these tests turn out the network protocol can be resolved correctly and can support the model very well and the design about the interactive process about benign worm system accorded with the fact and met the article.Lastly, Design and implement a data hiding feature. The temporary needed data can be hidden, which can reduce occupancy of the user's system resources.