基于免疫的动态风险控制系统

Ping Lin, Jin Yang, Tao Li, Lei Ai
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引用次数: 0

摘要

全球网络安全面临越来越严峻的挑战。现有的传统网络安全防御工具(如防火墙、入侵防御系统等)不能根据当前网络环境威胁的变化(如攻击强度、攻击类型等)主动调整防御策略,进行有针对性的防御,具有较大的被动性和盲目性。受人工免疫的启发,提出了一种基于免疫的动态风险控制系统。该系统由入侵检测模块、风险评估模块和动态风险控制模块组成。系统通过入侵检测和风险评估模块获取当前系统环境的风险等级,根据风险等级从策略知识库中选择有针对性的防御策略,实施积极防御和主动防御策略,进而控制不同类型和级别的有针对性的风险,防止攻击的扩散。与传统入侵防御系统一旦设置好规则就不会改变,无法动态调整的特点相比,该系统针对不同的网络风险采用不同的控制策略,可以根据网络威胁的变化灵活、动态地调整控制策略。扩展的主动和被动控制方法增强了系统应对不同类型攻击的能力和风险等级。因此,对网络安全风险的控制具有灵活性、主动性和针对性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An immune based dynamic risk control system
Global network security is facing more and more serious challenges. Existing traditional network security defense tools (e.g. firewalls, intrusion prevention systems) cannot actively adjust defense strategies and conduct targeted defenses according to change of current network environment threats (e.g. attack intensity, attack type, etc.), which has greater passiveness and blindness. Inspired by artificial immunity, this paper proposes an immune-based dynamic risk control system. The system consists of intrusion detection module, risk assessment and dynamic risk control module. The system obtains the current system environment’s risk level through intrusion detection and risk assessment module, selects the targeted defense strategy from the strategy knowledge database according to the risk level, implements positive and active defense strategies, and then controls targeted risks of different types and levels to prevent the spread of the attack. Compared with the classic intrusion prevention system, of which once the rules are set, it will remain unchanged and cannot be dynamically adjusted, the system adopts different control strategies for different risk of network, and the control strategy can be flexibly and dynamically adjusted according to the change of network threat. The extended active and passive control methods enhance the systems capability to handle different types of attacks and the risk level. Thus, it is flexible, active and targeted to control the risk of network security.
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