Corpus ID: 29835292

Using Analytics to Predict Future Attacks and Breaches

  title={Using Analytics to Predict Future Attacks and Breaches},
  • Published 2016
The pace and sophistication of data breaches is growing all the time. Anyone with valuable secrets can be a target, and likely already is. According to the Privacy Rights Clearinghouse, at the time of this writing, 884,903,517 records were breached in 4,621 incidents documented since 2005. This number is just an estimate based on publicly disclosed and well-documented incidents; the real number is likely much higher. According to data available from, the size of the major… Expand
2 Citations
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Big data in intrusion detection systems and Big Data analytics for huge volume of data, heterogeneous features, and real-time stream processing, and challenges posed by stream processing of big data in the systems are discussed. Expand
Fuzzy and Real-Coded Chemical Reaction Optimization for Intrusion Detection in Industrial Big Data Environment
A fuzzy and real coded chemical reaction optimization-based cluster analysis approach with feature selection is proposed for the intrusion detection system in a Big Data platform and uses the use of the Flexible Mutual Information Feature Selection approach to avoid the processing of a large number of features. Expand