Owner Based Malware Discrimination

As a result of increased digitization of our society, malware prevalence has also increased in more or less equal proportion. This has led individuals, organizations, businesses and even governments to pay attention to its impact. Considering the increased pertinence of modern day malware, it has become increasingly hard to mitigate it using the traditional methods. A piece of malware code can be harmful in one's system and totally harmless in another. In this paper, we mainly focus on how to improve traditional methods to cope with threaten from prevalence increasing of malware.Here we point out that the detection of malicious code or software is basically a matter of discrimination. Since executing this procedure has various sponsors, the detection is relative. Considering that only the relationship between malware and discrimination system was take into account by anti-virus software, we have therefore developed the concept of owner based malicious software discrimination to take the element of owner into the discrimination procedure.First, we will characterize and analyze the limits of current discrimination in theory by using URM(Unlimited Register Machine) discrimination model and then move on to construct the URMO(Unlimited Register Machine of Owner) discrimination model giving the two important elements of malicious behavior: operation and the object of operation. The relationship between operation and object is fundamental to solving the relativity of the discrimination problem about malice, which is also the advantage of the URMO model. Finally, through analysis of a practical software application, we demonstrate how to apply this model and as well as assess its efficiency.