Zero-Day Attack Detection Using Collaborative and Transduction-Based Anomaly Detectors
Date
2015
Authors
Hiremagalore, Sharath
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Abstract
Web applications have emerged as the primary means of access to vital and sensitive services such as online payment systems and databases storing personally identifiable information. Unfortunately, the need for ubiquitous and often anonymous access exposes web servers to adversaries. Indeed, network-borne zero-day attacks pose a critical and widespread threat to web servers that cannot be mitigated by the use of signature-based intrusion detection systems.
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Keywords
Computer science, Anomaly Detection, Collaborative Security, Network Intrusion Detection System, Transdcution Confidence Machines, Web Security, Zero-day Attacks