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Security in supply chains in the scope of surface transport of goods by secure information patterns on the freight - Trans4Goods

: Borstell, H.; Cao, L.; Richter, K.; Schäfer, C.


Aschenbruck, N. (Ed.); Martini, P.; Meier, M.; Tölle, J.:
Future Security. 7th Security Research Conference 2012. Proceedings : Bonn, Germany, September 4-6, 2012
Berlin: Springer, 2012 (Communications in computer and information science 318)
ISBN: 978-3-642-33160-2 (Print)
ISBN: 978-3-642-33161-9 (Online)
ISBN: 3-642-33160-2
ISSN: 1865-0929
Security Research Conference "Future Security" <7, 2012, Bonn>
Conference Paper
Fraunhofer IFF ()

Situations in which the civil supply of goods is threatened or affected by attacks, natural catastrophes, major accidents or criminal activities are increasing. Furthermore the unique identification of goods as well as the traceability up to the manufacturer gain in importance. Currently, the question is how to get more security in the flow of commodity in a feasible manner, without constraining them with additional inspections. Therefore the partners of the joint research project "Trans4Goods - Security in supply chains in the scope of surface transport of goods by secure information patterns on the freight" ("") determine feasible approaches. Referring to a pharmaceutical supply chain, an IT-system concept shall be developed bundling capture and communication systems in a web portal solution. Additionally, local AutoID-data carriers (currently: 2D-Codes, RFID) which are attached to goods, packaging and carrier are examined as new technological solution for tracking security relevant data electronically in real-time concerning dimension and weight, means of transportation, temperature, location as well as the method of control. To assure data integrity and thus prevent manipulation suitable encryption methods are researched. Innovative depth image sensor concepts are tested on the level of freight, whose measured data alone or in combination with the data of the AutoiD carrier from the different object levels allow a station history related analysis of the data model.