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XWork is an command-pattern framework that is used to power WebWork as well as other applications. XWork provides an Inversion of Control container, a powerful expression language, data type conversion, validation, and pluggable configuration.

XWork is an command-pattern framework that is used to power WebWork as well as other applications. XWork provides an Inversion of Control container, a powerful expression language, data type conversion, validation, and pluggable configuration.

XWork is an command-pattern framework that is used to power WebWork as well as other applications. XWork provides an Inversion of Control container, a powerful expression language, data type conversion, validation, and pluggable configuration.

This module is part of the eAudit4j audit library, providing a simple and pluggable solution for auditing in Java. This particular Maven module provides a set of audit processors that persists audit events using JDBC. Depending on the processor implementation, the JDBC connection can be instantiated from a configurable database connection pool, a JNDI name, or a data source. Once persisted, the event is passed on without modification.

The eAudit4j library provides a simple and pluggable solution for auditing in Java. This library uses the concept of "audit streams", with a stream being comprised of one or more "audit processors". An application can configure an unlimited number of audit streams, each with a different configuration. When an application wants to audit an event, it will create and populate an "Event" instance, and then submit the event to the audit stream for processing and persitance. Depending on the audit stream configuration and the processors being used in the audit stream configuration, processing my be synchronous or asynchronous, and utilize different security features.

This module was created to fix issue DIRSHARED-91 where the embedded Felix instance inside the default LdapCodecService implementation was making it very problematic to deploy the ldap-codec inside an RCP (OSGi) environment and hence Apache Directory Studio could not use it. This module is most likely temporary and will disappear once we are fully OSGi enabled. This module is a plain old jar, not a bundle to avoid accidental reuse as an OSGi module because it contains the version of the LdapCodecService that embeds Felix to make controls and extended ops pluggable in the codec.

This is a simple Web Service Client library to call wide variety of web service behind HTTP. In theory it can support any interface or payload. On the request side, to convert java object to HTTP request components (URL, headers, body), templating is used which allows it to call XML, JSON, SOAP, REST or anyother custom interface. On the response side, it uses pluggable parser and a mapper to only extract the fields that are of interest for the client program. The parser currently supports JSON and XML and returns a collections tree.

The crypto4j library provides a simple and pluggable crypto abstraction library for Java, including both cryptographic primitives and the artifacts defined in the JOSE standard. This library separates the cryptographic primitives from the JOSE artifacts. The library uses the algorithms available through JCA (JCE). The implementations of the cryptographic primitives provided in this library rely on the standard JCA implementation, and can be configured and extended through the JCA mechanisms. The JOSE portion of the library allows custom extensions by either replacing the provided JOSE artifact implementations with custom implementations, or by adding new JOSE artifacts, for instance in form of additional algorithms, which is particularly useful in case that the JOSE standard is updated or in case custom extensions to the JOSE standard should be implemented. The implementations available in this library generally come in two variants: a standard implementation of the primitives and advanced algorithms, and a high-performance implementation that takes advantage of implementation patterns that do not compromise cryprographic security, but speed up the overall processing time.

A filter that applies the LOF (Local Outlier Factor) algorithm to compute an outlier score for each instance in the data. Can use multiple cores/cpus to speed up the LOF computation for large datasets. Nearest neighbor search methods and distance functions are pluggable. For more information, see: Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jorg Sander (2000). LOF: Identifying Density-Based Local Outliers. ACM SIGMOD Record. 29(2):93-104.