An automatic distributed mechanism is proposed to identify the propagation roots of fast spreading internet worms. The information obtained can be used to identify local worm outbreaks, identify network intrusion, identify internal network misuse, and help with the forensic trace-back after detection. It has been designed with simplicity, efficacy, and ease of deployment in mind. Two modes of operation are possible, yielding both real-time and post mortem propagation information. The proposed paradigm can work in unison with any intrusion detection, throttling and human-mediated responses. Simulation results show that even with only 20-30% deployment, worm origins can be pinpointed with great precision.

Ten participants from an online community of fiction writers were exposed to a treatment package intended to increase their writing productivity. The package consisted of graphic feedback provided through a Web page, praise for goal completion delivered via e-mail, and editing of manuscripts by other members of the community dependent on the completion of word-count goals. A multiple baseline design across groups was used to evaluate the effects of the intervention, which was successful in increasing the number of words written.

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