K
Konrad Jünemann
Researcher at Karlsruhe Institute of Technology
Publications - 14
Citations - 173
Konrad Jünemann is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Outsourcing & Confidentiality. The author has an hindex of 5, co-authored 14 publications receiving 167 citations.
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Journal ArticleDOI
Confidential database-as-a-service approaches: taxonomy and survey
TL;DR: A taxonomy of requirements that CPIs have to satisfy in deployment scenarios including the required functionality and the required level of protection against various attackers is presented and it is shown that the taxonomy’s underlying principles serve as a methodology to assess CPIs, primarily by linking attacker models to CPI security properties.
Proceedings ArticleDOI
BitMON: A Tool for Automated Monitoring of the BitTorrent DHT
TL;DR: BitMON is a Java-based out-of-the-box platform for monitoring the BitTorrent DHT that monitors the DHT's size in peers as well as the peers' IP addresses, port numbers, countries of origin and session length and the long-term evolution of these indicators can be graphically displayed.
Proceedings ArticleDOI
Towards a Basic DHT Service: Analyzing Network Characteristics of a Widely Deployed DHT
TL;DR: Whether a basic DHT service could suit the needs of DHT- based applications in terms of stability, number of participating peers, the peers'' session lengths, geographical distribution and peer connectivity when deployed similar to DHTs driven by file sharing is evaluated.
Proceedings ArticleDOI
Data Outsourcing Simplified: Generating Data Connectors from Confidentiality and Access Policies
TL;DR: This approach simplifies data outsourcing by decoupling policy decisions from their technical implementation and realizes appropriate tradeoffs between confidentiality and efficiency.
Proceedings ArticleDOI
Parallelism potentials in distributed simulations of Kademlia-based peer-to-peer networks
TL;DR: This paper shows that a speedup of up to a factor of 6.0 using 16 nodes connected using InfiniBand and close to linear reductions in memory usage are possible for simulations of Kademlia-based networks.