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With the development of information technology in education, teaching is no longer face to face. Detecting abnormal learning behavior in time is valuable for the adjustment of teaching strategies. Because of the individual differences in learning behavior, it is difficult to measure with a unified standard. Artificial Immune Systems are abnormal detecting models which are inspired by Biosystem, it...
Malware is becoming a worldwide epidemic. Artificial Immune System is a self-adaptive method for malware detection. However the scalability and coverage problems reduced the detection efficiency of an Artificial Immune System. In order to solve these problems, this paper proposed a model called Collaborative Artificial Immune System. In this model, independent immune bodies in different computers...
Artificial Immune System is a computational system which is inspired from vertebrate immune system. For the characteristics of adaptability and diversity, Artificial Immune System is used to solve engineering problems, especially computer security problems. Danger Model is a new research focus of Artificial Immune System which is inspired from innate immune system. Previous researches have proved...
Malicious software is one of the most popular security threats of computer networks. It is difficult for traditional solutions to deal with dynamical and variable behaviors against malicious software. Danger model theory is a hypothesis of artificial immune systems. This hypothesis explains what is malicious from the trend of behaviors in a computer system. This paper presented a novel idea that malicious...
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