Abstract. We describe a static analysis method on Java bytecode to determine class initialization dependencies. This method can be used for eager class loading and initialization. It catches many initialization circularities that are missed by the standard lazy implementation. Except for contrived examples, the computed initialization order gives the same results as standard lazy initialization.
Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. 12b. DISTRIBUTION CODE ABSTRACT (Maximum 200 Words)This report describes the application of the computational immunology approach to a distributed object systems. The hypothesis tested was that one could characterize normal behavior of the application itself in terms of inter-object messages, and use that characterization to successfully detect rogue client attacks on the application. The goals of the research were to test and demonstrate the feasibility of intrusion detection at the application level in distributed object systems. In particular, we worked with applications built on the Common Object Resource Broker Architecture (CORBA). The report shows that the computational immunology approach reliably detects attacks on the Domain Name Server that seriously disrupt Internet service.The report analyzes the components required for a definition of "self' that is applicable to computer programs. The report also conducts experiments that show that a straightforward definition of "self" can detect rogue client attacks on CORBA systems. The project resulted in building a prototype system to aid in the analysis of experimental data and helped generate descriptions of normal application behavior. The prototype intrusion detection system for CORBA can be used wit] a broad class of definitions of "self". NUMBER OF PAGES 69
Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)Air Force Research Laboratory/IFSE 525 Brooks Rd Rome NY 13441-4505 SPONSORING/MONITORING AGENCY REPORT NUMBER AFRL-IF-RS-TR-2006-232 DISTRIBUTION AVAILABILITY STATEMENT APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. PA# 06-494 SUPPLEMENTARY NOTES ABSTRACTInformation spaces deployed under the Joint Battlespace Infosphere (JBI) program utilize small transformation -fuselets -to build up applications of meaning to end users. FuseFlow is a design, management, and performance monitoring system for structured collections of JBI fuselets and non-fuselet clients. These collections, termed fuselet workflows, have clear meaning to end users and address significant challenges for fuselets in the areas of scale, concurrency, authoring, and maintenance. In addition, fuselet workflows begin to capture author intentions about how fuselets will interact and how end-user goals will be achieved; "meaning" is inherent in the collection, at a scale above individual fuselets. The FuseFlow system is founded on well-known techniques for designing business processes (workflows) to achieve customer satisfaction and for continuously improving the process. At the same time, FuseFlow components interact with existing JBI structures using established APIs, in order to implement the Fuseflow fuselet workflow abstraction.
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