Neural network situation prediction method based on dynamic k-means clustering
A neural network and network technology, applied in the field of neural network situation prediction based on dynamic k-means clustering, can solve problems such as slow algorithm operation, dimension explosion, excessive redundant data, etc., and achieve the effect of improving prediction accuracy
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[0027] The structural principle and working principle of the present invention will be further described in detail below in conjunction with the drawings and embodiments.
[0028] The experimental environment built in this embodiment is a local area network built in the laboratory, including several hosts, routers, firewalls and switches. The host configuration is Intel(R) Core(TM) i7-4790 CPU 3.60GHz, 8.00GB memory, 64-bit operating system.
[0029] Both ordinary users and attackers can access the hosts in this LAN. Select several hosts in the LAN to attack. The attack methods are as follows:
[0030] ① Inject CVE-2016-9732, CVE-2016-2979, and CVE-2016-2973 vulnerabilities to conduct cross-site scripting attacks on the host.
[0031] ② Inject CVE-2016-2299, CVE-2016-4040, and CVE-2016-3172 vulnerabilities to perform SQL injection attacks on the host.
[0032] ③ Inject the CVE-2017-10804 vulnerability to obtain host user privacy information.
[0033] By using burpsuit and ...
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