… of five modules: a traffic detection module, attribute extraction … strategy of multi-source
heterogeneous data fusion and the idea of … the multi-source heterogeneous data, the exponential …

… matching detection technique, the article supposes to apply adaptive intrusion detection …
According to the technique above, the article proposes to select and adjust detection strategies …

… Data sets that are large enough for developing predictive models that can … of heterogeneity
are unusual. The possible or probable extent of heterogeneity will vary from one type of study …

… address the intrusion detection in IoT … IoT huge volume, unstructured data, heterogeneous
data to compute in real-time, which makes the system realistic. The authors propose the large …

… that traditional network intrusion detection methods are difficult to effectively implement
intrusion detection due to the complexity, heterogeneity and large-scale of big data, a hybrid …

… extraction in the existing intrusion detection algorithms, the … not accurate enough, an intrusion
detection model based on the … Survey on SDN based network intrusion detection system …

… matching detection technique, the article supposes to apply adaptive intrusion detection …
Ac-cording to the technique above, the article proposes to select and adjust detection strategies …

… as neighborhood surveys, is being used to derive valuable data and insights from data obtained
… frameworks are not appropriate for heterogeneous large information preparing, as they …

… A survey of the security assessment and security defense of … An intelligent CSO-DBNN based
cyber intrusion detection model … cabin based on multisource heterogeneous data fusion [J]. …