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Full-Text Articles in Databases and Information Systems
Feature Set Selection For Improved Classification Of Static Analysis Alerts, Kathleen Goeschel
Feature Set Selection For Improved Classification Of Static Analysis Alerts, Kathleen Goeschel
CCE Theses and Dissertations
With the extreme growth in third party cloud applications, increased exposure of applications to the internet, and the impact of successful breaches, improving the security of software being produced is imperative. Static analysis tools can alert to quality and security vulnerabilities of an application; however, they present developers and analysts with a high rate of false positives and unactionable alerts. This problem may lead to the loss of confidence in the scanning tools, possibly resulting in the tools not being used. The discontinued use of these tools may increase the likelihood of insecure software being released into production. Insecure software …
Use Of Entropy For Feature Selection With Intrusion Detection System Parameters, Frank Acker
Use Of Entropy For Feature Selection With Intrusion Detection System Parameters, Frank Acker
CCE Theses and Dissertations
The metric of entropy provides a measure about the randomness of data and a measure of information gained by comparing different attributes. Intrusion detection systems can collect very large amounts of data, which are not necessarily manageable by manual means. Collected intrusion detection data often contains redundant, duplicate, and irrelevant entries, which makes analysis computationally intensive likely leading to unreliable results. Reducing the data to what is relevant and pertinent to the analysis requires the use of data mining techniques and statistics. Identifying patterns in the data is part of analysis for intrusion detections in which the patterns are categorized …