We Introduce the Highly predIc- tive Blacklist (HPB) service, which is now Jian Zhang, Philli P P o rr a S , a n d JohanneS ullRich integrated into the DShield.org portal [1]. The HPB service employs a radically differ- ent approach to blacklist formulation than that of contemporary blacklist formulation highly predictive strategies. At the core of the system is a ranking scheme that measures how closely blacklisting related an attack source is to a blacklist con- Jian Zhang is an assistant professor in the depart- sumer, based on both the attacker’s history ment of computer science at Louisiana State and the most recent firewall log produc- University. His research interest is in developing new machine-learning methods for improving tion patterns of the consumer. Our objec- cybersecurity. tive is to construct a customized blacklist
[email protected] per repository contributor that reflects the Phillip Porras is a Program Director of systems se- most probable set of addresses that may curity research in the Computer Science Laboratory attack the contributor in the near future. at SRI International. His research interests include malware and intrusion detection, high-assurance We view this service as a first experimental computing, network security, and privacy-preserv- ing collaborative systems. step toward a new direction in high-quality
[email protected] blacklist generation. As Chief Research Officer for the SANS Institute, For nearly as long as we have been detecting mali- Johannes Ullrich is currently responsible for the SANS Internet Storm Center (ISC) and the GIAC cious activity in networks, we have been compil- Gold program.