Distributed Denial of Service (DDoS) attacks is one of the most troublesome intrusions for online services on the internet. In general DDoS attacks are divided into two categories as bandwidth depletion and resource depletion attacks. We generate resource depletion-type DDoS attacks on the campus network of Boğaziçi University and recorded the ongoing traffic from the backbone router's mirrored port. We generate TCP SYN, and UDP flooding packets using Hping3 traffic generator software by flooding. This dataset includes attack-free user traffic and attack traffic, which is suitable for evaluating network-based DDoS detection methods. Attacks are towards one victim server connected to the backbone router of the campus. Attack packets have randomly generated spoofed source IP addresses. We removed payloads of packets and anonymized the source IP addresses of legitimate users for the confidentiality of legitimate users.
Keywords: DDoS; Intrusion Detection; Network Security; TCP flood; UDP flood.
© 2020 The Author(s).