The Study Of Computer Virus Detection Model Based On Biological Immune System

Computer viruses and worms are an increasing problem throughout the world be-cause of their new evolution trends,including growing birth rate and very rapid spread-ing speed on the Internet.Traditional virus detection techniques are failed to defeatsuch viruses effectively.It is emergent to find a real-time strategy to defeat computerviruses, especially new viruses.The Artificial Immune System(AIS) which stimulatesthe Biology Immune System(BIS) is an investigative hotspot because of its potentialcapability to solve this problem.Firstly,on the basis of studying the working mechanism of BIS and researchingstatus of AIS,a new type of computer virus detection model based on biological immunesystem is put forward.The model defined the process from birth,growth,evolution todeath of immune cells(detectors).And a set of suspicions computer virus are establishedto provide a buffer to the system,which contribute to the reduction in the denyingmistakes of the immune system.The experimental results shows that virus variantsand unknown viruses can be identified by CVDM,which has the characteristics of theimmune system.Secondly,by the analyses on the existing detector generating algorithms,we achievedthe improvement of the linear time detector generating algorithm, which was widelyused at present.Arrays C and C'are constructed from two directions and are crossedto get D, which makes detectors match more strings of'nonself'.And removal of re-dundant detectors narrowed the scale of detector set. Both mathematical analysis andexperiment show that the improved algorithm reduced the size of the detector set, andthe value of Pf decrease.Finally,on the basis of generating algorithms,the reason of detecting holes is ana-lyzed to estimate the scale of detection holes.