A Survey of Data Mining and Machine Learning Methods for …

This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of an emerging method, papers representing each method were identified, read, and summarized. …

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In almost every scientific field, measurements are performed over time. These observations lead to a collection of organized data called time series.The purpose of time-series data mining is to try to extract all meaningful knowledge from the shape of data. Even if humans have a natural capacity to perform these tasks, it remains a complex problem for computers.

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Software Vulnerability Analysis and Discovery Using Machine …

In that survey, the authors categorized learning and mining based works into four classes: supervised learning using software metrics, unsupervised learning by mining rules, vulnerable code ...

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[PDF] A Survey of Data Mining and Machine Learning Methods …

The complexity of ML/DM algorithms is addressed, discussion of challenges for using ML/ DM for cyber security is presented, and some recommendations on when to use a given method are provided. This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics in support of intrusion …

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VR-Surv: a VR-Based Privacy Preserving Surveillance System

VR-Surv, a VR-based privacy aware surveillance system for large scale urban environments that successfully conceals privacy-sensitive data, while preserving the semantics of the scene, is presented. The recent advances in smart city infrastructure have provided support for a higher adoption of surveillance cameras as a mainstream crime prevention measure.

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