This assignment delves into the critical realm of Network Intrusion Detection Systems (NIDS). It examines various types of NIDS, such as signature-based and anomaly-based systems, highlighting their strengths and limitations. The document explores the use of modern techniques like data mining and neural networks in NIDS for enhanced threat detection. Specific examples, including the analysis of the Zeus botnet and its detection methods, are discussed to illustrate practical applications.