**Chapter 4: "Intrusion Detection Based on Big Data Fuzzy Analytics"**

Intrusion detection (ID) is an essential technology for improving network security by identifying assaults or anomalous accesses. Most conventional ID systems have several drawbacks, including high dropout frequencies and poor malware detection. Managing scattered and massive information presents a problem for ID systems. Working with inaccurate data is also problematic. This chapter uses a fuzzy c-means (FCM) algorithm to cluster and classify pre-processed learning data.
