86,829 research outputs found
F. Giese et E. Schunck, Grundgesetz fur die Bundesrepublik Deutschland, Kommentar
No full textF. Giese et E. Schunck, Grundgesetz fur die Bundesrepublik Deutschland, Kommentar. In: Revue internationale de droit comparé. Vol. 13 N°3, Juillet-septembre 1961. p. 661
F. Giese et E. Schunck, Grundgesetz fur die Bundesrepublik Deutschland, Kommentar
No full textF. Giese et E. Schunck, Grundgesetz fur die Bundesrepublik Deutschland, Kommentar. In: Revue internationale de droit comparé. Vol. 13 N°3, Juillet-septembre 1961. p. 661
STRING SEARCH AND MATCHING FOR GATE FUNCTIONALITY
No full textFast string search and matching is critical for many security tasks in particular if these have gate functionality for instance as found in access control applications, firewalls, routers, and load balancers. The fast matching of strings is essential to impose and enforce access control policies without creating bottlenecks. Firewalls protect networks by monitoring the traffic crossing the network perimeter. The number of packet matching rules firewalls can effectively handle is limited by the matching time and space complexity of the algorithms employed. A new approach implements matching independent of the number of rules and linear in the length of the rule to be matched. A data structure used in this approach is referred to as a Bipartite Concatenated Representation (BCR). The space complexity of the BCR within this application scenario scales as O(N log2N) where N is the number of rules
ADAPTIVE SYSTEM PROFILE
No full textAn approach to generating and regenerating a profile value from features of a system (e.g., a computer system), allows for certain changes of features of the system over time. The system may correspond to a client computer or a particular component of the client computer or a user of a client computer, and may also correspond to a combination of the user (i.e., a biometric characterization of the user) and the client computer or a component of the computer. The profile value may be used, for example, for purposes including identification, authentication, key generation, and other cryptographic functions involving the system
Providing online operational support for distributed, security sensitive electronic business processes
No full textOnline process mining techniques are increasingly used to provide operational support. In this work we describe tools to support distributed business processes which handle sensitive data and require a high level of security together with real-time validation. The techniques presented here have been specifically developed for real-time compliance checking of distributed processes in choreographies of heterogeneous entities. Challenges include the fast aggregation, analysis and validation of process logs that are collected from the distributed participants. The autonomy of the participating entities has to be respected and no sensitive data pertaining to the content of the individual transactions must be accessed for process support and validation purposes. A validation authority for process monitoring and validation is set up. Together with software agents dispatched to the participating entities the validation authority collects events in a central log and then analyzes these events using a particular representation of the process in form of a validation tree to detect and resolve anomalies. We describe the application of these technologies in a distributed business process with more than 400,000 daily process executions. The business process is supported by a help desk managing and responding to incidents and anomalies. We observe a reduction of 90% of the calls to the help desk and an average reduction of 15% in call length. Further the help desk was enabled to act pro-actively, calling participants to the process even before they became aware of anomalies that affected their organization
Risk Evaluation and Forecasting Causal Relationships
No full textA computational engine is disclosed, which is enabled to discover, learn and forecast causal relationships between a large number of known and hidden variables that evolve
over time. The engine is equipped to keep track of a large set of heterogeneous data reported by spatially distributed observers in discrete time intervals. The engine is further suited to be applied to systems where anomalies or outliers have a notable impact on the statistical distribution of variables and where no analytical description for the statistical distribution of the data is known or is difficult to define. Applications range from improved anomaly detection in networks to personalized risk prediction for patients
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