eng Science and Education Publishing Journal of Computer Networks 2372-4757 2017-08-21 4 1 48 55 10.12691/jcn-4-1-5 JCN2017415 article Lidong Wang lwang22@students.tntech.edu 1 Department of Engineering Technology, Mississippi Valley State University, Itta Bena, MS, USA This paper introduces network attacks, intrusion detection systems, intrusion prevention systems, and intrusion detection methods including signature-based detection and anomaly-based detection. Intrusion detection/prevention system (ID/PS) methods are compared. Some data mining and machine learning methods and their applications in intrusion detection are introduced. Big data in intrusion detection systems and Big Data analytics for huge volume of data, heterogeneous features, and real-time stream processing are presented. Challenges of intrusion detection systems and challenges posed by stream processing of big data in the systems are also discussed. http://pubs.sciepub.com/jcn/4/1/5/jcn-4-1-5.pdf big data intrusion detection system (IDS) intrusion prevention system (IPS) signature-based detection anomaly-based detection data mining machine learning network security