首页> 外国专利> METHODS FOR PROTECTING PATTERN CLASSIFICATION NODE FROM MALICIOUS REQUESTS AND RELATED NETWORKS AND NODES

METHODS FOR PROTECTING PATTERN CLASSIFICATION NODE FROM MALICIOUS REQUESTS AND RELATED NETWORKS AND NODES

机译:从恶意请求及相关网络和节点中保护模式分类节点的方法

摘要

A method of operating a protection node for protecting a pattern classification node from malicious requests may be provided. The protection node may receive, from a user node, a request containing an original pattern to be classified by a machine learning algorithm performed by the pattern classification node. The protection node may add noise to the original pattern to generate a noisy pattern. The protection node may obtain a first classification of the noisy pattern based on processing of the noisy pattern by a first clone of the machine learning algorithm at the protection node; obtain a second classification of the original pattern based forwarding the request for processing of the original pattern by the machine learning algorithm performed at the pattern classification node; and compare the first and second classifications to determine whether the first and second classifications satisfy a defined similarity rule. The protection node may use the comparison to manage the request from the user node.
机译:可以提供一种操作保护节点以保护模式分类节点免受恶意请求的方法。保护节点可以从用户节点接收包含原始模式的请求,该原始模式将由模式分类节点执行的机器学习算法进行分类。保护节点可将噪声添加到原始图案以产生噪声图案。保护节点可以基于保护节点处的机器学习算法的第一克隆,基于对噪声模式的处理来获得噪声模式的第一分类;通过转发在所述模式分类节点执行的机器学习算法,转发所述原始模式的处理请求,获得所述原始模式的第二分类;比较第一和第二分类以确定第一和第二分类是否满足定义的相似性规则。保护节点可以使用比较来管理来自用户节点的请求。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号