Among the challenges facing the Internet, DoS/DDoS are a critical concern for Internet Service Providers. DDoS attacks can cause country-wide infrastructure problems, and can disrupt communications on a national level. Frequently, Botnets are used to carry out source-spoofed DDoS attacks. The problem of tracing such attacks has been the subject of significant inquiry. Here, we leverage the fact that a Botnet requires significant exposure to risk, and investments of time and resources. Thus, as a capital resource, it is likely that a Botnet will, over its lifespan, be used to execute multiple criminal DDoS attacks on different targets. Here, we report on new techniques that leverage information obtained over sequences of source spoofed Botnetled DDoS attacks, demonstrating the efficacy of these techniques at pinpointing potential attacker locations. DDoS attack flow descriptions can be collected in many ways, using a coordinated DDoS sensor agents (e.g. as described by the authors previously in ). Here, as a theoretical contribution, we provide formal statement of the attacker localization problem. We develop an new algorithm for localizing attack sources from sequences of DDoS attacks.