Michael Hilker

Artificial Cell Communication in Distributed Systems

Distributed systems like multi-agent systems, complex adaptive systems, or artificial immune systems use lots of small entities in order to reach the goals of the system, e.g. optimisation problems or network security. In all of these systems, lightweight entities exist and perform tasks autonomously in order to solve the problems. In addition, one of the main problems is the communication between these entities, which is mostly implemented using central servers. In this article, we introduce a novel approach for communication that uses the cell communication of the human body as archetype. The communication is reliable, efficient, and does not use central entities. We show that the artificial cell communication has several advantages compared to common used communication protocols.

Semi-automated Content Zoning of Spam Emails

With the use of electronic mail as a communicative medium, the occurrence of spam emails has increased and kept stable; and although spam can be detected by spam filtering, an element of risk of a continuously network overload remains. To add insult to injury, spammers augment novel, clever and astute techniques, which currently leads to a neck-and-neck race between protection and injury. Constantly novel approaches are necessitated to enhance spam filters through a more efficient and effective prevention. In this respect, we argue for a zoning of emails to classify a text in regions, where each region bears a meaning. Here, we use this technique for spams to identify these zones and to evaluate if an email is a spam. We introduce content zoning and prove our approach by a prototypical implementation including first results.