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首頁> 外文會(huì)議>Computational Intelligence in Cyber Security, 2009. CICS '09 >Environmental awareness intrusion detection and prevention system toward reducing false positives and false negatives
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Environmental awareness intrusion detection and prevention system toward reducing false positives and false negatives

機(jī)譯:減少誤報(bào)和誤報(bào)的環(huán)保意識(shí)入侵檢測(cè)和預(yù)防系統(tǒng)

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摘要

Intrusion detection systems (IDS) and intrusion prevention systems (IPS) are now considered a mainstream security technology. IDS and IPS are designed to identify security breaches. However, one of the most important problems with current IDS and IPS is the lack of the ldquoenvironmental awarenessrdquo (i.e. security policy, network topology and software). This ignorance triggers many false positives (false alerts) and false negatives (undetected attacks). In this paper, we propose a novel intrusion detection and prevention architecture where we integrate the characteristics and the properties of the protected system in the traffic analysis process. The experimental evaluation shows the effectiveness of our solution. In fact, we measure a reduction of 89.59% of false positives and 79.18% of false negatives.
機(jī)譯:入侵檢測(cè)系統(tǒng)(IDS)和入侵防御系統(tǒng)(IPS)現(xiàn)在被視為主流安全技術(shù)。 IDS和IPS旨在識(shí)別安全漏洞。但是,當(dāng)前IDS和IPS的最重要問題之一是缺乏“環(huán)境意識(shí)”(即安全策略,網(wǎng)絡(luò)拓?fù)浜蛙浖_@種無知會(huì)觸發(fā)許多誤報(bào)(錯(cuò)誤警報(bào))和誤報(bào)(未檢測(cè)到攻擊)。在本文中,我們提出了一種新穎的入侵檢測(cè)和防御體系結(jié)構(gòu),該體系結(jié)構(gòu)在流量分析過程中整合了受保護(hù)系統(tǒng)的特征和特性。實(shí)驗(yàn)評(píng)估顯示了我們解決方案的有效性。實(shí)際上,我們測(cè)算出的假陽性減少了89.59%,假陰性減少了79.18%。

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