智能安防系统中用于恶意软件检测的免疫检测器的发展

Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Pub Date : 2011-11-10 DOI:10.1109/IDAACS.2011.6072865

V. Golovko, Sergei V. Bezobrazov, Vasilii Melianchuk, M. Komar

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引用次数: 6

摘要

本文介绍了智能恶意软件检测系统中检测器进化的基本原理。该系统基于人工神经网络和人工免疫系统两种人工智能方法的集成。进化的目标是使检测器适应新的未知恶意代码，以提高检测质量。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evolution of immune detectors in intelligent security system for malware detection

In this paper we present the basic principles of the evolution of detectors in intelligent malware detection system. This system based on integration of both AI methods: artificial neural networks and artificial immune systems. The goal of the evolution is adaptation of detectors to new, unknown malicious code for increasing of quality of detection.

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Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems

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