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1. 发明授权

US10204224B2 Systems and methods of processing data associated with detection and/or handling of malware 有权
公开(公告)号：US10204224B2
公开(公告)日：2019-02-12
申请号：US14964250
申请日：2015-12-09
申请人： McAfee Ireland Holdings Limited
发明人： Lixin Lu
IPC分类号： G06F11/00 , G06F21/56 , G06F21/55
摘要： The present disclosure relates to malware and, more particularly, towards systems and methods of processing information associated with detecting and handling malware. According to certain illustrative implementations, methods of processing malware are disclosed. Moreover, such methods may include one or more of unpacking and/or decrypting malware samples, dynamically analyzing the samples, disassembling and/or reverse engineering the samples, performing static analysis of the samples, determining latent logic execution path information regarding the samples, classifying the samples, and/or providing intelligent report information regarding the samples.

2. 发明授权

US09213838B2 Systems and methods of processing data associated with detection and/or handling of malware 有权
标题翻译：处理与检测和/或处理恶意软件相关的数据的系统和方法
公开(公告)号：US09213838B2
公开(公告)日：2015-12-15
申请号：US13594702
申请日：2012-08-24
申请人： Lixin Lu
发明人： Lixin Lu
IPC分类号： G06F11/00 , G06F21/56 , G06F21/55
CPC分类号： G06F21/568 , G06F21/552 , G06F21/561 , G06F21/562 , G06F21/563 , G06F21/564 , G06F21/566 , G06F2221/034
摘要： The present disclosure relates to malware and, more particularly, towards systems and methods of processing information associated with detecting and handling malware. According to certain illustrative implementations, methods of processing malware are disclosed. Moreover, such methods may include one or more of unpacking and/or decrypting malware samples, dynamically analyzing the samples, disassembling and/or reverse engineering the samples, performing static analysis of the samples, determining latent logic execution path information regarding the samples, classifying the samples, and/or providing intelligent report information regarding the samples.
摘要翻译：本公开涉及恶意软件，更具体地，涉及处理与检测和处理恶意软件相关联的信息的系统和方法。根据某些说明性实现，公开了处理恶意软件的方法。此外，这样的方法可以包括解包和/或解密恶意软件样本中的一个或多个，动态分析样本，拆卸和/或逆向工程样本，执行样本的静态分析，确定关于样本的潜在逻辑执行路径信息，分类样品，和/或提供关于样品的智能报告信息。

3. 发明授权

US08811224B2 Method and system for determining physical connectivity in a dynamic network 有权
标题翻译：用于确定动态网络中的物理连接的方法和系统
公开(公告)号：US08811224B2
公开(公告)日：2014-08-19
申请号：US12851415
申请日：2010-08-05
申请人： Ofir Arkin
发明人： Ofir Arkin
IPC分类号： H04L12/28 , G06F15/173
CPC分类号： H04L41/12 , H04L12/413
摘要： There are provided a system and a method of determining a physical connectivity of a new node connected to a dynamic communication network comprising a plurality of connecting nodes each comprising a plurality of ports. The method comprises: (a) responsive to automatically discovering a new node connected to the dynamic communication network, obtaining address data characterizing a network address of said discovered new node; (b) querying all known connecting nodes and generating a port dataset representing all ports thereof which have registered address data characterizing the network address of said discovered new node; (c) defining, by analyzing the generated port dataset, a port and respective connecting node which said discovered new node is directly connected to.
摘要翻译：提供了一种确定连接到动态通信网络的新节点的物理连接性的系统和方法，包括多个连接节点，每个连接节点包括多个端口。该方法包括：（a）响应于自动发现连接到动态通信网络的新节点，获得表征所述发现的新节点的网络地址的地址数据; （b）查询所有已知的连接节点并生成表示其所有端口的端口数据集，所述端口数据集具有表征所述发现的新节点的网络地址的注册地址数据; （c）通过分析生成的端口数据集来定义所述发现的新节点直接连接到的端口和相应的连接节点。

4. 发明申请

US20190050569A1 SYSTEMS AND METHODS OF PROCESSING DATA ASSOCIATED WITH DETECTION AND/OR HANDLING OF MALWARE 审中-公开
公开(公告)号：US20190050569A1
公开(公告)日：2019-02-14
申请号：US16113154
申请日：2018-08-27
申请人： McAfee Ireland Holdings Limited
发明人： Lixin LU
IPC分类号： G06F21/56 , G06F21/55
摘要： The present disclosure relates to malware and, more particularly, towards systems and methods of processing information associated with detecting and handling malware. According to certain illustrative implementations, methods of processing malware are disclosed. Moreover, such methods may include one or more of unpacking and/or decrypting malware samples, dynamically analyzing the samples, disassembling and/or reverse engineering the samples, performing static analysis of the samples, determining latent logic execution path information regarding the samples, classifying the samples, and/or providing intelligent report information regarding the samples.

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