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The rate of data generation is enormously growing due to the number of internet users and its speed. This increases the possibility of intrusions causing serious financial damage. Detecting the intruders in such high-speed data networks is a challenging task. Therefore, in this paper, we present a high-speed Intrusion Detection System (IDS), capable of working in Big Data environment. The system design...
Many emerging Big Data applications involve real- time classification in which data instances arriving sequentially over time need to be classified based on their feature vectors. A common and implicit assumption in existing works is that the features become available instantly with the instance and simultaneously with each other, which, however, rarely holds in practice. Instead, features of an instance...
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