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    • 78. 发明授权
    • System and method for preventing intrusion of abnormal GTP packet
    • 防止入侵异常GTP包的系统和方法
    • US08948019B2
    • 2015-02-03
    • US13549273
    • 2012-07-13
    • Dong Wan KangJoo Hyung OhSe Kwon KimJung Sik ChoChae Tae Im
    • Dong Wan KangJoo Hyung OhSe Kwon KimJung Sik ChoChae Tae Im
    • G06F11/00
    • H04L63/1441H04L43/12
    • Provided are a system and method for preventing the intrusion of an abnormal GPRS tunneling protocol (GTP) packet. The system includes: a system management unit including a monitoring unit which monitors a state of the system and a mode changing unit which changes an operation mode of the system based on the state of the system; a packet capture unit including a packet management unit which stores information about a GTP packet based on the operation mode of the system and a detection result checking unit which determines whether to drop the GTP packet; and a packet detection unit including a packet parsing unit which parses the information about the GTP packet and a packet analysis unit which analyzes the parsed information about the GTP packet, wherein the operation mode of the system is an intrusion prevention system (IPS) mode or a bypass mode.
    • 提供了防止异常GPRS隧道协议(GTP)分组入侵的系统和方法。 该系统包括:系统管理单元,其包括监视系统的状态的监视单元和根据系统的状态改变系统的操作模式的模式改变单元; 分组捕获单元,包括基于系统的操作模式存储关于GTP分组的信息的分组管理单元和确定是否丢弃GTP分组的检测结果检查单元; 以及分组检测单元,其包括解析关于GTP分组的信息的分组解析单元和分析关于GTP分组的解析信息的分组分析单元,其中,系统的操作模式是入侵防御系统(IPS)模式或 旁路模式。
    • 79. 发明申请
    • METHOD OF INSPECTING MASS WEBSITES AT HIGH SPEED
    • 检测高速网站的方法
    • US20140143866A1
    • 2014-05-22
    • US14065706
    • 2013-10-29
    • Korea Internet & Security Agency
    • Tai Jin LEEByung Ik KIMHong Koo KANGChang Yong LEEJi Sang KIMHyun Cheol JEONG
    • H04L29/06
    • H04L63/1483H04L67/02H04L2463/146
    • Disclosed is a method of inspecting mass websites at a high speed, which visits and inspects the mass websites at a high speed and, at the same time, correctly detects unknown attacks, detection avoidance attacks and the like and extracts URLs related to vulnerability attacks. The method of inspecting mass websites at a high speed includes the steps of: simultaneously visiting, if a list of inspection target websites is received, a plurality of inspection target websites using multiple browsers; inspecting whether or not malicious code infection is attempted at the plurality of inspection target websites visited through the multiple browsers; extracting a malicious website where the attempt of malicious code infection is generated among the plurality of inspection target websites; and visiting the malicious website and tracing a malicious URL distributing a malicious code.
    • 披露了高速检查大众网站的方法,高速访问和检查群众网站,同时正确检测未知攻击,检测避免攻击等,并提取与漏洞攻击有关的URL。 高速检查大众网站的方法包括:同时访问如果收到检查对象网站的列表,则使用多个浏览器的多个检查对象网站; 检查通过多个浏览器访问的多个检查对象网站是否尝试恶意代码感染; 提取在多个检查目标网站之间产生恶意代码感染尝试的恶意网站; 并访问恶意网站并跟踪恶意的恶意URL分发恶意代码。
    • 80. 发明申请
    • SYSTEM FOR IDENTIFYING MALICIOUS CODE OF HIGH RISK
    • 识别高风险恶性代码的系统
    • US20140137251A1
    • 2014-05-15
    • US14065781
    • 2013-10-29
    • KOREA INTERNET & SECURITY AGENCY
    • Tai Jin LEEByung Ik KIMHong Koo KANGChang Yong LEEJi Sang KIMHyun Cheol JEONG
    • G06F21/56
    • G06F21/56G06F21/577H04L63/145
    • Disclosed is a system for identifying malicious codes of high risk. The system includes a statistical data creation module for creating statistical data by collecting and processing malicious codes by channel, ranking, period, type, re-infection and vaccine diagnosis; a trend data creation module for creating trend data by processing the collected malicious codes by channel, field and type; a malicious code filtering module for extracting the malicious code of high risk from the collected malicious codes based on priority information including a URL type, the number of distribution sites, the number of landing sites, a vaccine diagnosis rate and the number of reports; and a database for processing and storing the statistical data, the trend data and the malicious codes of high risk in a form of a graph, a pie chart and a table.
    • 公开了一种识别高风险恶意代码的系统。 该系统包括统计数据创建模块,用于通过渠道,排名,期间,类型,再感染和疫苗诊断收集和处理恶意代码来创建统计数据; 趋势数据创建模块,用于通过信道,字段和类型处理所收集的恶意代码来创建趋势数据; 一种恶意代码过滤模块,用于基于URL类型,分发站点数量,登陆站点数量,疫苗诊断率和报告数量等优先级信息,从收集的恶意代码中提取高风险的恶意代码; 以及用于以图形,饼图和表格的形式处理和存储高风险的统计数据,趋势数据和恶意代码的数据库。