Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"anomaly-based detection"”.
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Classifying malicious windows executables using anomaly based detection
… Backdoors, Root-kits, Spyware and Exploits. Anomaly detection is technique which builds a statistical profile of the normal and malicious data and classifies unseen data based on these two profiles. A detection system is presented here which is anomaly based and focuses on the Windows …
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Flow-oriented anomaly-based detection of denial of service attacks with flow-control-assisted mitigation
Flooding-based distributed denial-of-service (DDoS) attacks present a serious and major threat to the targeted enterprises and hosts. Current protection technologies are still largely inadequate in mitigating such attacks, especially if they are large-scale. In this doctoral dissertation, the …
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Embedded monitors for detecting and preventing intrusions in cryptographic and application protocols.
There are two main approaches for intrusion detection: signature-based and anomaly-based. Signature-based detection employs pattern matching to match attack signatures with observed data making it ideal for detecting known attacks. However, it cannot detect unknown attacks for which there is no …
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Real-time Intrusion Detection using Multidimensional Sequence-to-Sequence Machine Learning and Adaptive Stream Processing
… activity on a computer network. There are host-based and network-based Intrusion Detection Systems (IDS's), of which there are each signature-based and anomaly-based detection methods. An anomalous network behavior can be defined as an intentional violation of the expected sequence of packets. …
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Anomaly Detection Through System and Program Behavior Modeling
… dissertation, we address the problem of host-based system anomaly detection, specifically by predicting expected behaviors of programs and detecting run-time deviations and anomalies. We first introduce an approach for detecting the drive-by download attack, which is one of the major vectors …
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Detection of denial-of-service attacks based on computer vision techniques
… of computer networks and various network-based services. This thesis aims to provide an intelligent and effective solution for DoS attack detection. Unlike the related works based on machine learning and statistical analysis, this thesis suggests to treat network traffic records as images …