A Combination of Artificial Neural Network and Artificial Immune System for Virus Detection
Keyword(s):
In this paper, we propose an Artificial Neural Immune Network (ANIN) for virus detection. ANIN is a combination of Artificial Neural Network (ANN) and Artificial Immune Network (AiNet). In ANIN, each ANN is considered as a detector. A pool of initial detectors then undergoes a mature process, called AiNet, to improve its recognizing ability. Thus, more than one ANN objects can cooperate to detect malicious code. The experimental results show that ANIN can achieve a detection rate of 87.98% on average with an acceptable false positive rate.
2021 ◽
Vol 15
(1)
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pp. 1-25
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2019 ◽
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2016 ◽
Vol 13
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