We introduce BUDA.ART, a system designed to assist researchers in Art History, to explore and analyze an archive of pictures of Buddha statues. The system combines different CBIR and classical retrieval techniques to assemble 2D pictures, 3D statue scans and meta-data, that is focused on the Buddha facial characteristics. We build the system from an archive of 50,000 Buddhism pictures, identify unique Buddha statues, extract contextual information, and provide specific facial embedding to first index the archive. The system allows for mobile, on-site search, and to explore similarities of statues in the archive. In addition, we provide search visualization and 3D analysis of the statues.

This paper describes a proposal to provide a solution to grid applications specific needs in data transport security. The solution combines different security protocols to secure data transport, integrity and confidentiality. To address the key management part, the solution secures the local DNS server with the DNSSEC extensions, making it become a local certification authority. This design choice solves a dual problem: secret key distribution and scalability of the solution.