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The advent of internet protocol version 6 (IPv6) as a replacement of internet protocol version 4 (ipv4) has raised the necessity for efficient and effective malware detection techniques for IPv6 networks. Because of the evolvable and polymorphic malware, current malware detection technologies cannot cope with the exponential growth of malwares. This paper proposes a new intelligent approach based on adapted evolving classification function, for malware detection in dual stackIPv4/IPv6 networks, the proposed integrated approach consist of three modules, the first module is a malware Portable Executable (PE) file analyzer which generates a features of a malware from its executable file.
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