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The 1998 DARPA intrusion detection evaluation created the first standard corpus for evaluating computer intrusion detection systems. This corpus was designed to evaluate both false alarm rates and detection rates of intrusion detection systems using many types of both known and new attacks embedded in a large amount of normal background traffic. The corpus was collected from a simulation network that was used to automatically generate realistic traffic-including attempted attacks. The focus of this thesis is the attacks that were developed for use in the 1998 DARPA intrusion detection evaluation. In all, over 300 attacks were included in the 9 weeks of data collected for the evaluation. These 300 attacks were drawn from 32 different attack types and 7 different attack scenarios. The attack types covered the different classes of computer attacks and included older, well-known attacks, newer attacks that have recently been released to publicly available forums, and some novel attacks developed specifically for this evaluation. The development of a high quality corpus for evaluating intrusion detection systems required not only a variety of attack types, but also required realistic variance in the methods used by the attacker. The attacks included in the 1998 DARPA intrusion detection evaluation were developed to provide a reasonable amount of such variance in attacker methods. Some attacks occur in a single session with all actions occurring in the clear, while others are broken up into several sessions spread out over a long period of time with the attacker taking deliberate steps to minimize the chances of detection by a human administrator or an intrusion detection system. In some attacks, the attacker breaks into a computer system just for fun, while in others the attacker is interested in collecting confidential information or causing damage.