Evidence Fusion using D-S Theory: utilizing a progressively evolving reliability factor in wireless networks

The Dempster-Shafer (D-S) theory provides a method to combine evidence from multiple nodes to estimate the likelihood of an intrusion. The theory\u27s rule of combination gives a numerical method to fuse multiple pieces of information to derive a conclusion. But, D-S theory has its shortcomings when used in situations where evidence has significant conflict. Though the observers may have different values of uncertainty in the observed data, D-S theory considers the observers to be equally trustworthy. This thesis introduces a new method of combination based on D-S theory and Consensus method, that takes into consideration the reliability of evidence used in data fusion. The new method\u27s results have been compared against three other methods of evidence fusion to objectively analyze how they perform under Denial of Service attacks and Xmas tree scan attacks

Advances and Applications of Dezert-Smarandache Theory (DSmT) for Information Fusion (Collected Works), Vol. 4

The fourth volume on Advances and Applications of Dezert-Smarandache Theory (DSmT) for information fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics. The contributions (see List of Articles published in this book, at the end of the volume) have been published or presented after disseminating the third volume (2009, http://fs.unm.edu/DSmT-book3.pdf) in international conferences, seminars, workshops and journals. First Part of this book presents the theoretical advancement of DSmT, dealing with Belief functions, conditioning and deconditioning, Analytic Hierarchy Process, Decision Making, Multi-Criteria, evidence theory, combination rule, evidence distance, conflicting belief, sources of evidences with different importance and reliabilities, importance of sources, pignistic probability transformation, Qualitative reasoning under uncertainty, Imprecise belief structures, 2-Tuple linguistic label, Electre Tri Method, hierarchical proportional redistribution, basic belief assignment, subjective probability measure, Smarandache codification, neutrosophic logic, Evidence theory, outranking methods, Dempster-Shafer Theory, Bayes fusion rule, frequentist probability, mean square error, controlling factor, optimal assignment solution, data association, Transferable Belief Model, and others. More applications of DSmT have emerged in the past years since the apparition of the third book of DSmT 2009. Subsequently, the second part of this volume is about applications of DSmT in correlation with Electronic Support Measures, belief function, sensor networks, Ground Moving Target and Multiple target tracking, Vehicle-Born Improvised Explosive Device, Belief Interacting Multiple Model filter, seismic and acoustic sensor, Support Vector Machines, Alarm classification, ability of human visual system, Uncertainty Representation and Reasoning Evaluation Framework, Threat Assessment, Handwritten Signature Verification, Automatic Aircraft Recognition, Dynamic Data-Driven Application System, adjustment of secure communication trust analysis, and so on. Finally, the third part presents a List of References related with DSmT published or presented along the years since its inception in 2004, chronologically ordered

Constructing Probability Boxes and Dempster-Shafer Structures

This report summarizes a variety of the most useful and commonly applied methods for obtaining Dempster-Shafer structures, and their mathematical kin probability boxes, from empirical information or theoretical knowledge. The report includes a review of the aggregation methods for handling agreement and conflict when multiple such objects are obtained from different sources

Uncertainty management for coastal defence systems.

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN029923 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Multisource Data Integration in Remote Sensing

Papers presented at the workshop on Multisource Data Integration in Remote Sensing are compiled. The full text of these papers is included. New instruments and new sensors are discussed that can provide us with a large variety of new views of the real world. This huge amount of data has to be combined and integrated in a (computer-) model of this world. Multiple sources may give complimentary views of the world - consistent observations from different (and independent) data sources support each other and increase their credibility, while contradictions may be caused by noise, errors during processing, or misinterpretations, and can be identified as such. As a consequence, integration results are very reliable and represent a valid source of information for any geographical information system

Auditing Symposium IX: Proceedings of the 1988 Touche Ross/University of Kansas Symposium on Auditing Problems

Auditor evidential planning judgments / Arnold Wright, Theodore J. Mock; Discussant\u27s response to Auditor evidential planning judgments / Robert H. Temkin; Relative importance of auditing to the accounting profession: Is auditing a profit center? / Norman R. Walker, Michael D. Doll; Using and evaluating audit decision aids / Robert H. Ashton, John J. Willingham; Discussant\u27s response to The relative importance of auditing to the accounting profession: Is auditing a profit center? / Zoe-Vonna Palmrose; Accounting standards and professional ethics / Arthur R. Wyatt; Discussant\u27s response to Using and evaluating audit decision aids / Stephen J. Aldersley; Audit theory paradigms / Jack C. Robertson; Discussant\u27s response to Audit theory paradigms / Donald L. Neebes; Why the auditing standards on evaluating internal control needed to be replaced / Jerry D. Sullivan; Discussant\u27s response to Why the auditing standards on evaluating internal control needed to be replaced / William R. Kinney; AUDITOR\u27S ASSISTANT: A knowledge engineering tool for audit decisions / Glenn Shafer, Prakash P. Shenoy, Rajendra P. Srivastava; Discussant\u27s response to AUDITOR\u27S ASSISTANT: A knowledge engineering tool for audit decisions / John B. Sullivan; Reports on the application of accounting Principles -- A Review of SAS 50 / James A. Johnson; Discussant\u27s response to Reports on the application of accounting Principles -- A Review of SAS 50 / Gary L. Holstrumhttps://egrove.olemiss.edu/dl_proceedings/1008/thumbnail.jp