Novel intrusion prevention and detection methods

Jotsov, Vladimir

doi:10.1109/is.2008.4670526

Cited by 1 publication

(5 citation statements)

References 13 publications

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“…Interactions of KA-LEIDOSCOPE with logical data mining methods FUNNEL and CROSSWORD are briefly described. More details on the system as a whole may be obtained from (Jotsov, 1999(Jotsov, , 2002(Jotsov, , 2008. Only the visualization part of the applications of FUNNEL and CROSSWORD has been considered in the paper, the other parts of the research may be found in the other quoted papers and in the ongoing research.…”

Section: Resultsmentioning

confidence: 99%

“…In education systems this leads to incorrect explanations, thus diminishing the trust in elearning systems (or lecturers) and it quits lots of possibilities for an effective learning. To cope with this problem, we created a tool for identification and resolution of conflicts in ontologies or any other knowledge (Jotsov, 2008). Ontologies in our systems pass through contradiction resolution or they may be artific ially put in another field to reveal its strong and weak aspects.…”

Section: Evolution Of Ontologiesmentioning

confidence: 99%

“…The visua lization of the proposed new learning scheme through contradiction resolution (Jotsov, 2008) makes the education process of IT students much more effective and emotiona lly saturated. The reason is that the automatic or semiautomatic process of localizing and correcting errors is very natural, instructive and it offers easy-to-remember knowledge to creatively cope with difficult situations.…”

Section: Evolution Of Ontologiesmentioning

confidence: 99%

“…On the other hand, Figure 13 shows our original realization of the fuzzy principle: we avoid a lot of hard-to-explain fuzzy notions via using ontologies and intersections between them. Many technical details are quoted in our references to this paper (Jotsov, 1999(Jotsov, , 2008. The success of the presented application(s) is hidden in a rather simple realization of the presented methods.…”

Section: Applicationsmentioning

confidence: 99%

“…Also, for sake of brevity few other data mining methods are briefly described aiming to show different important features of the considered education system. For more information the reader may investigate the other quoted papers (Jotsov, 1999(Jotsov, , 2002(Jotsov, , 2008. After that the main features are discussed: visualization of the method, the transfer of a sense during the dialog, and approaches how to make the human-machine interaction productive.…”

Section: Introductionmentioning

confidence: 99%

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Emotion-Aware Education and Research Systems

Jotsov¹

2009

InSITE Conference

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An emotion-aware method KALEIDOSCOPE is presented in the paper. It consists of a visualization approach, a method for information transfer-by-sense and applied approaches to maintain a natural-style dialog. The combination is purposed to provoke and keep positive emotions in the user and to maintain his interest in the problem. The main goal of this paper is to show how different machine-done visualized patterns lead to student's perceptions that can't be represented or estimated by the machine and how this is helpful during the educational process. It is shown that dynamic information presentations are superior to static ones. Original evolving (dynamic) ontology applications have been introduced. It is shown that the creation and maintenance of such ontologies may be a rather complicated process. Essential principles of an educational process using KALEIDOSCOPE method are introduced. It is shown that high quality education systems are far away from monotonic presentation forms, and that they are rather close to contemporary research systems. Both education and research systems use a clear and thoroughly understandable dialog depending on user's knowledge level. The considered education system is an active part of the human-computer dialog process. Instead of trying to estimate the user's emotions we apply a set of logical data mining methods aiming at making the human-computed interaction emotionaware. The educational part of the system is domain independent. Aiming to show domain independent approaches, the examples are introduced from Number Theory to language expressions and nonclassical logic applications. Applications are presented in the domain of Number Theory and IT information security systems.

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Section: Resultsmentioning

confidence: 99%

Section: Evolution Of Ontologiesmentioning

confidence: 99%

Section: Evolution Of Ontologiesmentioning

confidence: 99%

Section: Applicationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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