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The 3 most important issues for anomaly detection based intrusion detection systems by using data mining methods are: feature selection, data value normalization, and the choice of data mining algorithms. In this paper, we study primarily the feature selection of network traffic and its impact on the detection rates. We use KDD CUP 1999 dataset as the sample for the study. We group the features of...
Ensuring public security is an important issue for every government, and effective public security depends on the efficiency of criminal justice processes and procedures. The procedures of the criminal justice may be viewed as the upper-, middle-, and down-stream sections of a supply chain. Like their business counterparts, most law enforcement agencies have to deal with logistics, information flow,...
Signature-based anti-viruses are very accurate, but are limited in detecting new malicious code. Dozens of new malicious codes are created every day, and the rate is expected to increase in coming years. To extend the generalization to detect unknown malicious code, heuristic methods are used; however, these are not successful enough. Recently, classification algorithms were used successfully for...
Several vulnerability analysis techniques in web-based applications detect and report on different types of vulnerabilities. However, no single technique provides a generic technology-independent handling of Web-based vulnerabilities. In this paper we present our experience with and experimental exemplification of using the application vulnerability description language (AVDL) to realize a unified...
This study centers on multiple-scheme encryption using annotation technology. The objective was to propose a composite encryption framework that combines several encryption specifications. It was assumed that combining several encryption standards can further enhance information security. It divided a message to be encrypted into packets and each packet was coded with a methodology independent of...
This paper proposed a two layer authorization mechanism, including traditional password system and rhythm recognition. The whole system includes two phases: preprocessing and usual operation for users. In preprocessing phase, users type password in a specific rhythm in order to record and analyse the characteristics of behaviour of users. In the second phase, how to verify a user in usual operation...
In this paper, we study the problem of anomaly detection in high-dimensional network streams. We have developed a new technique, called Stream Projected Outlier deTector (SPOT), to deal with the problem of anomaly detection from high-dimensional data streams. We conduct a case study of SPOT in this paper by deploying it on 1999 KDD Intrusion Detection application. Innovative approaches for training...
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