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cognitive Keys in Personalized cryptography

Cognitive Keys in Personalized Cryptography

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Marek R. Ogiela Lidia Ogiela Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Science and Technology Krakow Poland AGH University of Science and Technology Cryptography and Cognitive Informatics Research Group Krakow Poland

ISBN: (纸本)9781509060306

In this paper will be described a new way of using cognitive approaches in personalized cryptography algorithms. Personal information may be used in creation advanced security protocols, as well as personal keys for cryptosystems, and information encoding procedures. Such protocols may play important role in advanced secure management applications. Additionally some behavioral features allow to generate unique sequences, which also may be used in modern cryptographic application. Such possibilities will be described in this paper.

关键词： cryptography Information systems Feature extraction Semantics Protocols Visualization

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On Using cognitive Models in cryptography

On Using Cognitive Models in Cryptography

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Marek R. Ogiela Lidia Ogiela Cryptography and Cognitive Informatics Research Group AGH University of Science and Technology Krakow Poland

ISBN: (纸本)9781509018598

In this paper will be presented a new computational model connected with application of cognitive cryptography for cryptographic areas. This new cryptographic paradigm is introduced with relation to advanced information systems, focused on semantic data evaluation for cryptographic applications, as well as procedures using cognitive models of data processing. Such systems are mainly designed to use the semantic meaning of encrypted information to select the most effective method of encoding or securing. In this paper will be presented some possible applications of such techniques, especially for information sharing and management application. Cryptographic solutions inspired by biological models will be also described for such applications.

关键词： Semantics Biometrics (access control) Biological system modeling Encryption Feature extraction Information systems

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Efficiency of Strategic Data Sharing and Management Protocols

Efficiency of Strategic Data Sharing and Management Protocol...

引用

International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Lidia Ogiela Marek R. Ogiela Urszula Ogiela AGH University of Science and Technology Cryptography and Cognitive Informatics Research Group Krakow Poland

ISBN: (纸本)9781509009855

In this paper will be presented some security features of biometric and linguistic threshold schemes, as well as efficiency evaluation features for such protocols. Possible application of presented algorithms will be described with future directions in the area of strategic information management. Secret splitting algorithms play an important role in securing strategic data or information. Thus innovative approaches called biometric threshold schemes and linguistic threshold schemes will be summarized with presentation of theirs efficiency results.

关键词： Protocols Pragmatics cryptography Information management Algorithm design and analysis Encoding

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Bio-Inspired Cryptographic Techniques in Information Management Applications

Bio-Inspired Cryptographic Techniques in Information Managem...

引用

International Conference on Advanced Information Networking and Applications (AINA)

作者： Lidia Ogiela Marek R. Ogiela Cryptography and Cognitive Informatics Research Group AGH University of Science and Technology Krakow Poland

ISBN: (纸本)9781509018598

This paper will present new possibilities of information sharing with the use of biometric techniques. Various biometric techniques used in personal identification processes will constitute the basis for new data classification solutions. The process of data classification will be possible owing to the use of cryptographic techniques of sharing information, enriched by elements of biometric processes of personal identification. This type of solutions will serve to support the processes of managing strategic information.

关键词： Information management Protocols Classification algorithms cryptography Labeling Algorithm design and analysis

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Knowledge Management Approaches for Data Understanding

Knowledge Management Approaches for Data Understanding

引用

International Conference on Intelligent Networking and Collaborative Systems (INCOS)

作者： Lidia Ogiela Marek R. Ogiela Faculty of Management AGH University of Science and Technology Krakow Poland AGH University of Science and Technology Cryptography and Cognitive Informatics Research Group Krakow Poland

In this paper will be presented different knowledge management approaches used for semantic data evaluation and understanding tasks. Data understanding processes use the cognitive processes of data description, analysis and interpretation. The main step of such analysis is the formal grammar definition to obtain linguistic description. Some possible application of presented algorithms will be described with relation to different kinds of analyzed data. Especially the aspect of data understanding will be presented.

关键词： Data analysis Semantics Companies Knowledge management Information management Pragmatics Data mining

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Data Understanding Techniques for Management Application and cryptography

Data Understanding Techniques for Management Application and...

引用

International Conference on Intelligent Networking and Collaborative Systems (INCOS)

In this paper will be described the way of using data understanding techniques for semantic information extraction and data meaning evaluation. Extracted information may be then used for performing some management tasks and security actions. It may play important role in advanced secure management applications and intelligent access control to secure data. Such techniques allow extending security procedures and have a great influence for creation new areas of security like personalized cryptography.

关键词： Semantics cryptography Information management Data mining Protocols

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Rule-Based Action Recognition: Performance Comparison between Lua and GDL Script Language

Rule-Based Action Recognition: Performance Comparison betwee...

引用

International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS)

作者： Tomasz Hachaj Marek R. Ogiela Pedagogical University of Krakow Institute of Computer Science Krakow Poland AGH University of Science and Technology Cryptography and Cognitive Informatics Research Group Krakow Poland

ISBN: (纸本)9781509009855

The main novelty of this paper is presenting the implementation of GDL classifier in pure Lua language. We also present the evaluation of this implementation for motion capture data classification in real-time and compare the execution time with GDL 1.1 implementation. The experiments showed that Lua implementation performance of GDL in most cases is several times slower than managed C# GDL script 1.1. That is due the fact the Lua is a general purpose language while GDL script is optimized only to cooperate with GDL classifier, however GDL Lua implementation presented and evaluated in this paper proved to be fast enough to be useful both in scientific and in commercial applications. The performance time in productions scenarios (classification on relatively "big", 40 kB rules definitions) can be done with frequency approximately 100 executions per seconds which should be enough for up-to-date motion capture solutions. The new GDL Lua Implementation seems to be a good successor of GDLs 1.1.

关键词： Real-time systems Standards Engines C# languages Time-frequency analysis Syntactics Arrays

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Clusters of Trends Detection in Microblogging: Simple Natural Language Processing vs Hashtags – Which is More Informative?

Clusters of Trends Detection in Microblogging: Simple Natura...

引用

International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

ISBN: (纸本)9781509009886

In this paper we introduce the initial proposition and evaluation of the method that enables detection of clusters of trends among microblogging posts gathered from a given social graph. By the cluster of trends we mean the trending words that are popular among same group of people and which describes their common interests. The information about shared interests of group of people in the social network is very important for business. Knowing it we can for example perform directed advertising campaign aimed at single community of people. We validate our approach on large datasets that contains 22 030 252 tweets posted by 20 130 followers of the world-known actress. We found that clusters of trends detection in microblogging with simple natural language processing (namely lemmatization) did not give any valuable information for business. For the other side hashtags frequency filtering and probability conditional probabilities graph clustering resulted in valuable informative about structure of interest in social network.

关键词： Twitter Tagging Market research Natural language processing Filtration

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A Novel Approach to Geocaching Event Prognosis Using Spatiotemporal Data

A Novel Approach to Geocaching Event Prognosis Using Spatiot...

引用

International Conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： Tomasz Hachaj Pawel S. Hachaj Marek R. Ogiela Pedagogical University of Krakow Institute of Computer Science and Computer Methods Krakow Poland Cracow University of Technology Institute of Water Engineering and Water Resources Krakow Poland AGH University of Science and Technology Cryptography and Cognitive Informatics Research Group Krakow Poland

In this paper we present the case study on application of data mining techniques like clustering, regression and scoring with heuristic measures for the largest social event prognosis based on spatiotemporal data. The aim of this analysis is to propose the methodology that bases on archival records and is capable to predict the place where the largest social event will take place and who will be a host (organizer) of it. For this goal we utilize the part of geocaching community data. The dataset we used is consisted of 755 events that happened from 2010-01-30 to 2015-09-05 in Poland organized by 282 distinct users. Basing on archival data of past four years we were capable to indicate not only the region in which the biggest event took place but also its host and its place within range of 700 meters. Our new algorithm and its application to geocaching events data is main novelty of this paper.

关键词： Global Positioning System Prognostics and health management Data mining Spatiotemporal phenomena Google Conferences Computer science

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Biometric Extensions for Secret Sharing Protocols

Biometric Extensions for Secret Sharing Protocols

引用

International Conference on Information science and Security (ICISS)

作者： Lidia Ogiela Marek R. Ogiela AGH University of Science and Technology Cryptography and Cognitive Informatics Research Group Krakow Poland

ISBN: (纸本)9781467386128

In this paper authors will present a new idea of application of selected biometric pattern for creation cryptographic protocols, dedicated for secret sharing and data distribution. The selected biometrics features will describe face and eyes parameters. The cryptographic algorithms dedicated to secret sharing processes, will use such features, and allow creating a new class of secret sharing protocols. It will be a new class with some privileges assigned for information distribution by the secret sharing participants. This process will divided the secret data or information between different groups of participants, and protect data by unauthorized persons.

关键词： Protocols cryptography Face Surface treatment Iris recognition Tomography

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