位置:成果数据库 > 期刊 > 期刊详情页
APT攻击分层表示模型
  • ISSN号:1001-9081
  • 期刊名称:《计算机应用》
  • 时间:0
  • 分类:TP393.08[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:空军工程大学信息与导航学院,西安710077
  • 相关基金:国家自然科学基金资助项目(61402510);陕西省工业科技攻关项目(2016GY-087)。
中文摘要:

针对攻击链模型攻击阶段划分过细且无法表示攻击手段的问题,提出了一种高级可持续性威胁(APT)攻击分层表示模型(APT-HARM)。通过总结分析大量公开的APT事件报告和参考APT攻击链模型与分层攻击表示模型(HARM),将APT攻击分为攻击链和攻击树上下两层,并将其形式化定义。首先,将APT攻击分为由侦察、渗透、行动和撤出四个阶段组成的攻击链,并研究了各阶段特点;然后,研究各阶段中采取的攻击手段,并依据其逻辑关系组成攻击树。APT攻击按照攻击链分阶段依次进行,各阶段按照攻击树流程依次执行。案例分析表明,本模型相较攻击链模型具有粒度划分合理、攻击描述完备准确的优点。APT-HARM形式化地定义了APT攻击,为APT攻击的预测和防范提供了一种思路。

英文摘要:

Aiming at the problem that the attack chain model for the attack phase is too small to indicate the means of attack, an Advanced Persistent Threat (APT) Hierarchical Attack Representation Model (APT-HARM) was proposed. By summarizing the analysis of a large number of published APT event reports and reference APT attack chain model and HARM, the APT attack was divided into into two layers, the upper layer attack chain and the lower layer attack tree, which were formally defined. Firstly, the APT attack was divided into four stages:reconnaissance, infiltration, operation and exfiltration and the characteristics of each stage were studied. Then, the attack methods in each stage were studied, and the attack tree was composed according to its logical relationship. APT attacks were carried out in stages according to the attack chain, and the attack of each stage was performed in accordance with the attack tree. The case study shows that the model has the advantages of reasonable granularity classification and better attack description compared to the attack chain model. APT-HARM formally defines the APT attack, which provides an idea for the prediction and prevention of APT attacks.

同期刊论文项目
同项目期刊论文
期刊信息
  • 《计算机应用》
  • 北大核心期刊(2011版)
  • 主管单位:四川省科学技术协会
  • 主办单位:四川省计算机学会中国科学院成都分院
  • 主编:张景中
  • 地址:成都市人民南路四段九号科分院计算所
  • 邮编:610041
  • 邮箱:xzh@joca.cn
  • 电话:028-85224283
  • 国际标准刊号:ISSN:1001-9081
  • 国内统一刊号:ISSN:51-1307/TP
  • 邮发代号:62-110
  • 获奖情况:
  • 全国优秀科技期刊一等奖,国家期刊奖提名奖,中国期刊方阵双奖期刊,中文核心期刊,中国科技核心期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,波兰哥白尼索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:53679