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"Machen Sie doch mal mehr PR und Werbung für Ihre Schule": Kommunikationscontrolling in Schulen
(2015)
Henry Fords Bonmot zur Werbeerfolgskontrolle ist sicherlich der bekannteste Satz im Sektor des Kommunikationscontrollings: „Die Hälfte unserer Werbegelder werfen wir zum Fenster raus. Ich weiß nur nicht, welche Hälfte das ist.“ Diese kritische Würdigung von Kommunikationsleistungen ist auch heute noch immer wieder Thema und gerade im Umfeld von Schule, wo diese Prozesse noch keine sehr lange Tradition haben, Teil der internen und externen Diskussion. Die Steuerung von Kommunikationsprozessen erfordert jedoch nicht nur die Quantifizierung von Kommunikationsleistungen, sondern eine Einbettung in die gesamte Marketingstrategie und in die Bewertung einzelner Marketingbereiche und der dort entwickelten Marketingziele.
6LoWPAN (IPv6 over Low Power Wireless Personal Area Networks) is gaining more and more attraction for the seamless connectivity of embedded devices for the Internet of Things. It can be observed that most of the available solutions are following an open source approach, which significantly leads to a fast development of technologies and of markets. Although the currently available implementations are in a pretty good shape, all of them come with some significant drawbacks. It was therefore decided to start the development of an own implementation, which takes the advantages from the existing solutions, but tries to avoid the drawbacks. This paper discussed the reasoning behind this decision, describes the implementation and its characteristics, as well as the testing results. The given implementation is available as open-source project under [15].
We propose secure multi-party computation techniques for the distributed computation of the average using a privacy-preserving extension of gossip algorithms. While recently there has been mainly research on the side of gossip algorithms (GA) for data aggregation itself, to the best of our knowledge, the aforementioned research line does not take into consideration the privacy of the entities involved. More concretely, it is our objective to not reveal a node's private input value to any other node in the network, while still computing the average in a fully-decentralized fashion. Not revealing in our setting means that an attacker gains only minor advantage when guessing a node's private input value. We precisely quantify an attacker's advantage when guessing - as a mean for the level of data privacy leakage of a node's contribution. Our results show that by perturbing the input values of each participating node with pseudo-random noise with appropriate statistical properties (i) only a minor and configurable leakage of private information is revealed, by at the same time (ii) providing a good average approximation at each node. Our approach can be applied to a decentralized prosumer market, in which participants act as energy consumers or producers or both, referred to as prosumers.