Information security – Monitoring or scanning of software or data including attack... – Vulnerability assessment
Reexamination Certificate
2002-11-25
2008-09-02
Parthasarathy, Pramila (Department: 2136)
Information security
Monitoring or scanning of software or data including attack...
Vulnerability assessment
C726S023000
Reexamination Certificate
active
07421738
ABSTRACT:
A skeptical system protects an asset by monitoring commands of a user, predicting a plan of the user based on the monitored commands, inferring an actual plan from the predicted plan, receiving information related to an identity of the user, inferring an actual identity of the user from the information, assessing a threat based on the actual plan and the actual user identity, and selecting, from among a plurality of possible responses, a response that is appropriate to the assessed threat.
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Carberry, “Incorporating Default Inferences into Plan Recognition”, AAAI-90, Proceedings Eight National Conference on Artificial Intelligence, vol. 1, Jul. 29, 1990-Aug. 3, 1990, pgs. front page & 471-478.
Vilain, “Deduction as Parsing: Tractable Classification in the KL-ONE Framework”, AAAI-91, Proceedings Ninth National Conference on Artificial Intelligence, vol. 1, Jul. 14-19, 1991, pgs. front page & 464-467.
Gertner et al., “Procedural help in Andes: Generating hints using a Bayesian network student model”, Proceedings of the 15th National Conference on Artificial Intelligence, 1998, pp. 106-111.
Horvitz et al., “A Computational Architecture for Conversation”, Proceedings of the 7th International Conference on User Modeling, 1999, pp. 201-210.
Horvitz et al., “The LumiéProject: Bayesian User Modeling for Inferring the Goals and Needs of Software Users”, Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, 1998, pp. 256-265.
Heckerman et al., “Inferring Informational Goals from Free-Text Queries: A Bayesian Approach”, Proceedings of the 14th Conference on Uncertainty in Artificial Intelligence, 1998, pp. 230-237.
Sidner, Plan parsing for intended response recognition in discourseI, Computational Intelligence, vol. 1, Jan. 10, 1985, pp. 1-10.
Kaminka et al., “Monitoring Deployed Agent Teams”, Proceedings of the International Conference on Autonomous Agents, 2001, pp. 308-315.
Pynadath et al., “Probabilistic State-Dependent Grammars for Plan Recognition”, Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2000, pp. 507-514.
Geib Christopher W.
Harp Steven A.
Fredrick Krist T.
Honeywell International , Inc.
Parthasarathy Pramila
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