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Increasing security of network resources utilizing virtual honeypots

机译:利用虚拟蜜罐的网络资源安全性增加

摘要

A system for predicting vulnerability of network resources is provided. The system can calculate an initial vulnerability score for each of the network resources and use the initial vulnerability scores along with activity data of the network resources to train a vulnerability model. After training, the vulnerability model can predict the vulnerability of the network resources based on new activity data collected from the network resources. Based on the predicted vulnerability, vulnerable network resources can be identified. Further analysis can be performed by comparing the activities of the vulnerable network resources and other network resources to identify activity patterns unique to the vulnerable network resources as attack patterns. Based on the attack patterns, one or more actions can be taken to increase the security of the vulnerable network resources to avoid further vulnerability.
机译:提供了一种预测网络资源漏洞的系统。系统可以为每个网络资源计算初始漏洞分数,并使用初始漏洞分数以及网络资源的活动数据来训练漏洞模型。在培训之后,漏洞模型可以基于从网络资源收集的新活动数据来预测网络资源的漏洞。基于预测的漏洞,可以识别易受攻击的网络资源。通过比较易受网络资源和其他网络资源的活动来识别易受网络资源的活动模式作为攻击模式,可以通过比较易受网络资源独特的活动模式来执行进一步的分析。基于攻击模式,可以采取一个或多个动作来增加易受网络资源的安全性,以避免进一步的漏洞。

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