A Hybrid Real-time Zero-day Attack Detection and Analysis System

A Hybrid Real-time Zero-day Attack Detection and Analysis System

Автор: Ratinder Kaur, Maninder Singh

Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis

Статья в выпуске: 9 vol.7, 2015 года.

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A zero-day attack poses a serious threat to the Internet security as it exploits zero-day vulnerabilities in the computer systems. Attackers take advantage of the unknown nature of zero-day exploits and use them in conjunction with highly sophisticated and targeted attacks to achieve stealthiness with respect to standard intrusion detection techniques. Thus, it's difficult to defend against such attacks. Present research exhibits various issues and is not able to provide complete solution for the detection and analysis of zero-day attacks. This paper presents a novel hybrid system that integrates anomaly, behavior and signature based techniques for detecting and analyzing zero-day attacks in real-time. It has layered and modular design which helps to achieve high performance, flexibility and scalability. The system is implemented and evaluated against various standard metrics like True Positive Rate (TPR), False Positive Rate (FPR), F-Measure, Total Accuracy (ACC) and Receiver Operating Characteristic (ROC) curve. The result shows high detection rate with nearly zero false positives. Additionally, the proposed system is compared with Honeynet system.

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Zero-day Attacks, Unknown Attacks, Intrusion Detection, One-Class SVM, Malware Analysis, Network Security

Короткий адрес: https://sciup.org/15011453

IDR: 15011453

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