ABSTRACT
This chapter explores the collaborative intrusion detection systems that enhance the security of the big data and also handle the cloud vulnerabilities. It provides introduction to intrusion detection systems. The chapter presents the research done by different researchers and explore their limitations and strong points. Intrusion detection is one of the main cybersecurity issues in the field of big data. In order to protect the data from different types of cyberattacks, organizations implement intrusion detection systems. Depending on the evaluation methods of intrusion detection, the intrusion detection system can be classified into three major types: signature-based intrusion detection, anomaly-based detection, and hybrid intrusion detection system. A collaborative intrusion detection network is a network of connected intrusion detection systems. In the distributed architecture, the task of analysis is distributed among all the monitors in the network, making sure that each monitor has its own analysis unit and is not directly dependent on other nodes for analysis.
