Titlebook: Applications of Data Mining in Computer Security; Daniel Barbará,Sushil Jajodia Book 2002 Springer Science+Business Media New York 2002 In

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1568-2633 tivity. This book also addresses the application of data mining to computer forensics. This is a crucial area that seeks to address the needs of law enforcement in analyzing the digital evidence..978-1-4613-5321-8978-1-4615-0953-0Series ISSN 1568-2633 Series E-ISSN 2512-2193

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Mike Robinson,Helaine Silvermanersus data volume. We introduce a novel way of characterizing intrusion detection activities: degree of attack guilt. It is useful for qualifying the degree of confidence associated with detection events, providing a framework in which we analyze detection quality versus cost.

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https://doi.org/10.1007/978-3-319-57669-5ive probability estimation techniques are compared to an algorithm that builds scenarios using a set of rules. Both probability estimate approaches make use of training data to learn the appropriate probability measures. Our algorithm can determine the scenario membership of a new alert in time proportional to the number of candidate scenarios.

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Using MIB II Variables for Network Intrusion Detection,tion provided by the MIB II variables and use data mining techniques and information-theoretic measures to build an intrusion detection model. We test our MIB II-based intrusion detection model with several Denial of Service (DoS) and probing attacks. The results have shown that the model can detect these attacks effectively.

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1568-2633 aign, looking for patterns in financial transactions to discover illegal activities or analyzing genome sequences. From this perspective, it was just a matter of time for the discipline to reach the important area of computer security. .Applications Of Data Mining In Computer Security. presents a co