Titlebook: Data and Applications Security and Privacy XXXI; 31st Annual IFIP WG Giovanni Livraga,Sencun Zhu Conference proceedings 2017 IFIP Internat

Aura231

Cryptographically Enforced Role-Based Access Control for NoSQL Distributed Databasesordinator, thereby taking the bottleneck out of the existing security implementation. We allow any client to read the data from any storage node(s) – provided that only the clients whom the ACP grants access to a datum, would hold the encryption keys that enable these clients to decrypt the data.

cushion

Fast Distributed Evaluation of Stateful Attribute-Based Access Control Policiesistributed processing, using a specialized multi-version concurrency control scheme to deal with possibly conflicting concurrent updates. The algorithm is especially designed to achieve low latency, by minimizing the number of messages on the critical path of each access control decision.

外露

Undoing of Privacy Policies on Facebookormation contrary to their privacy settings. We demonstrate the kind of possible breaches and discuss how plausibly they could be set right without compromising performance. The breaches are validated through experiments on the Facebook.

Bureaucracy

Firewall Policies Provisioning Through SDN in the Clouds to express their firewall policies and to negotiate them via an orchestrator. Then, it reinforces these security requirements using the holistic view of the SDN controllers and it deploys the generated firewall rules into the network elements. We evaluate the performance of the solution and demonstrate its advantages.

阴郁

Conference proceedings 2017Privacy, DBSec 2017, held in Philadelphia, PA, USA, in July 2017..The 21 full papers and 9 short papers presented were carefully reviewed and selected from 59 submissions. The papers are organized in topical sections on access control, privacy, cloud security, secure storage in the cloud, secure sys

Euthyroid

令人苦恼

promote

Privacy-Preserving Community-Aware Trending Topic Detection in Online Social Mediates of Online Social Networks users that utilizes such reported community-aware trending topics. Additionally, we provide an algorithmic methodology that alters an existing community-aware trending topic algorithm so that it can preserve the privacy of the involved users while still reporting topics with a satisfactory level of utility.

Congestion

Privacy-Preserving Outlier Detection for Data Streams sensor streams with highly accurate outlier detection. We evaluate our algorithm on synthetic data. In our experiments we obtain an accuracy of 80% with a differential privacy value of . for well separated outliers.

depreciate