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Towards cognitive security systems

Towards cognitive security systems

引用

ieee international conference on cognitive Informatics

作者： Witold Kinsner Cognitive Systems Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

This talk addresses the changing world of security systems, and a possible approach to their improvement. Since the scientific, technical, industrial, business, and social worlds have changed from physically isolated systems to electronically interconnected system-of-systems (SoS), the functioning of such a SoS depends critically on its operational robustness and security. In the previous physically-isolated world, robust static security for selected matched problems was often sufficient. Today, we need a new approach to providing security, because even adaptive security is insufficient. This new approach is termed here a cognitive security system. The talk will cover three major issues. First, the talk starts from a review of the existing security systems, with their problems and required solutions, as well as their vulnerabilities, attacks, and defences. Second, it provides a review of decision-making systems, including dynamic and dynamical systems, complex systems, adaptive systems, autonomic systems and their attributes, symbiotic systems, and finally special attention is given to cognitive dynamic systems as defined by Wang's cognitive informatics [1-4], Kinsner cognitive machines, [5], Haikonen conscious machines [6], and Haykin cognitive dynamic systems [7]. This review ends with a model of cognitive security system. This model has a feature based on polyscale analysis and synthesis never reported before. Finally, examples of security-related cognitive static and dynamic systems developed in our research group are presented, including wavelet-packet fingerprint compression for data mining, watermarking and steganography, a new chaotic cryptography system, and new polyscale analysis for SmartGrid2.

关键词： Security cognitive informatics Computers Educational institutions Robustness Computational intelligence

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Modeling complex logistics systems using soft computing methodology of fuzzy cognitive maps

Modeling complex logistics systems using soft computing meth...

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2011 7th ieee international conference on Automation Science and Engineering, CASE 2011

作者： Stylios, Chrysostomos D. Georgoulas, George Knowledge and Intelligent Computing Laboratory Dept. of Informatics and Telecommunications Technology Technological Educational Institute of Epirus 47100 Artas Greece

ISBN: (纸本)9781457717307

Fuzzy cognitive Maps (FCMs) is an abstract soft computing modeling methodology that has been applied in many areas quite successfully. In this paper we discuss its modeling applicability to complex logistics systems involved in an intermodal container terminal and the way it could represent and handle the vast amount of information by an abstract point of view based on a decentralized approach, where the supervisor of the system is modeled as an FCM. We also investigate its applicability as a metamodel of the intermodal terminal in a simulation-optimization framework. Experts have a key role in developing the FCM as they describe a general operational and behavioral model of the system using concepts for the main aspects of the system, and weighted directed edges to represent causality. On the other hand, when data is available, data driven approaches have also been proposed for the development of FCM models. The FCM representation and implementation is discussed to develop a behavioral model of any complex system mainly based on a hierarchical structure, as well as its use as a metamodel of the system. © 2011 ieee.

关键词： Fuzzy cognitive Maps

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A modular dynamical cryptosystem based on continuous cellular automata

A modular dynamical cryptosystem based on continuous cellula...

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10th ieee international conference on cognitive Informatics and cognitive computing, ICCI*CC 2011

作者： Gonzalez, Jesus D. Terrazas Kinsner, Witold Cognitive Systems Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MB Canada

ISBN: (纸本)9781457716966

This paper presents a new cryptosystem based on chaotic continuous cellular automata (CCA) to increase data protection as demonstrated by their flexibility to encrypt and decrypt information from distinct sources. Enhancements in cryptosystems are also presented including (i) the model based on a new chaotic CCA attractor, (ii) the dynamical integration of modules containing dynamical systems to have more complex sequences, and (iii) an enhancement for symmetric cryptosystems by allowing them to generate an infinite number of keys. This paper also presents a process of mixing chaotic sequences obtained from cellular automata, instead of using differential equations, as a basis to achieve higher security and high speed for the encryption and decryption processes using dynamical modular cryptosystems than other recent approaches. The complexity of the mixed sequences is measured using the variance fractal dimension trajectory to compare them with the realization of an unmixed chaotic sequence to verify that the former are more complex. This type of multiscale measure and evaluation never has been done in the past outside this research group. © 2011 ieee.

关键词： Dynamical systems

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Modeling complex logistics systems using soft computing methodology of Fuzzy cognitive Maps

Modeling complex logistics systems using soft computing meth...

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ieee international conference on Automation Science and Engineering (CASE)

作者： Chrysostomos D. Stylios George Georgoulas Knowledge and Intelligent Computing Laboratory Department of Informatics and Telecommunications Technology Technological Educational Institute of Epirus Artas Greece

关键词： Logistics Adaptation models Containers Computational modeling Humans Mathematical model Neural networks

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A modular dynamical cryptosystem based on continuous cellular automata

A modular dynamical cryptosystem based on continuous cellula...

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ieee international conference on cognitive Informatics

作者： Jesus D. Terrazas Gonzalez Witold Kinsner Cognitive Systems Laboratory Department of Electrical and Computer Engineering University of Manitoba Winnipeg MAN Canada

关键词： Cryptography Indexes Automata Chaos

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DYNAMIC SHARE ENERGY PROVISIONING SERVICE FOR ONE-HOP MULTIPLE RFID TAGS IDENTIFICATION SYSTEM

DYNAMIC SHARE ENERGY PROVISIONING SERVICE FOR ONE-HOP MULTIP...

引用

2011 ieee international conference on Cloud computing and Intelligence Systems(CCIS2011)

作者： Jianhua Liu,Weiqin Tong School of Computer Science and Engineering of Shanghai University,Shanghai,China

Internet of Things applications using RFID sensors are a challenging task due to the limited capacity of ***,energy efficient control has become more critical design with RFID sensor integrating complex tag identification processing *** works on power efficient control in multiple RFID tags identification systems often design tag anti-collision protocols in identification process,and seldom consider the features of tags are able to detect energy within its radio rang among each *** paper is dedicated to developing a share energy provisioning(SEP) strategy for energy-limited multiple RFID tag identification ***,SEP can dynamically adapt the variable energy resources due to the cognitive radio ***,SEP combines the energy control with tags groups in wait time T,through classifying the tag into different groups according to its ***,it introduces the optimization theoretical analysis energy for multiple RFID tags identification system,so as to minimize the time and energy of it takes to send tags data to ***,it shares the energy resource as different energy harvest under energylimited RFID *** results demonstrate the energy efficiency of the proposed approach.

关键词： Radio frequency identification internet of things share energy provisioning service identification time

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Neural network-based cognitive diagnostic method

Neural network-based cognitive diagnostic method

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2010 2nd international conference on Computational Intelligence and Natural computing, CINC 2010

作者： Yu, Jiayuan Department of Psychology Nanjing Normal University China

ISBN: (纸本)9781424477036

Statistics cognitive diagnostic methods were complex and could not judge cognitive bugs very well. To solve this problem, a hybrid method combining principal component analysis, self-organizing feather map and probabilistic neural networks was promoted. It was applied in cognitive diagnostic. The data was got from 488 students of high school who took in Chinese language test. The results showed the principal component analysis could reduce the dimensions for SOM input data, and get the cognitive attributes. SOM network could divide the subjects into categories, and identify the cognitive shortages of different categories. Probabilistic neural network could judge cognitive bugs of the new students accurately. It is a valuable cognitive diagnostic method. ©2010 ieee.

关键词： Neural networks

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FPGA implementation of efficient FFT algorithm based on complex sequence

FPGA implementation of efficient FFT algorithm based on comp...

引用

ieee international conference on Intelligent computing and Intelligent Systems (ICIS)

作者： Zou, Wen Qiu, Zhongpan Song, Zhijun Cognitive Science Department Xiamen University Xiamen China

ISBN: (纸本)9781424465835

Fast Fourier Transform (FFT) is an efficient algorithm to compute the Discrete Fourier Transform (DFT). In many applications the input data are purely real-time, and efficient FFT can satisfy the situation. FFT algorithm based on complex sequence is an improved algorithm of primary FFT. This paper studies how efficient FFT algorithm is implemented on the basis of Field Programmable Gate Array (FPGA). When processing the same sequence length of data such as data of voltage or image, the algorithm put forward in this paper can save half time that is used for the amount of calculation in theory. The simulation indicates that the calculation can reach equivalent precision and the system performs satisfactorily. The method can applied well in many real-time systems and image processing. ©2010 ieee.

关键词： Image processing

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K2F-A Novel Framework for Converting Fuzzy cognitive Maps into Rule-Based Fuzzy Inference Systems

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10th international conference on Artificial Intelligence and Soft computing (ICAISC 2010)

作者： Krueger, Lars Univ Rostock Inst Appl Microelect & Comp Engn D-18119 Rostock Germany

ISBN: (纸本)9783642132070

This paper focuses on a novel methodological framework for converting a Fuzzy cognitive Map into a network of rule-based Fuzzy Inference Systems. Furthermore, it allows to obtain a crisp value representing an arbitrary parameter of the complex system's model. This way the system provides a quantitative answer without employing an exact mathematical model. This paper also outlines a first possible application area: the valuation of investments in high-technology ventures. A field in which usually conventional quantitative and retrospective measures usually do not deliver satisfying results due to the complexity of future-oriented risk prognosis and the lack of quantitative data.

关键词： Fuzzy cognitive Map Fuzzy Inference System Fuzzy Rules

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HUMANN-based systems for differential diagnosis of dementia using neuropsychological tests

HUMANN-based systems for differential diagnosis of dementia ...

引用

14th international conference on Intelligent Engineering Systems, INES 2010

作者： García Báez, P. Fernández Viadero, C. Pérez Del Pino, M.A. Procházka, A. Suárez Araujo, C.P. Departamento de Estadística Investigación Operativa y Computación Universidad de La Laguna La Laguna Spain Gobierno de Cantabria Hospital Psiquiátrico Parayas Santander Spain Instituto Universitario de Ciencias y Tecnologías Cibernéticas Universidad de Las Palmas de Gran Canaria Las Palmas de Gran Canaria Spain Department of Computing and Control Engineering Institute of Chemical Technology in Prague Prague Czech Republic

ISBN: (纸本)9781424476527

In a clinical context, dementia refers to a syndrome of acquired cognitive deterioration that can be associated with various potential stages of the disease. The two most common variations of this disease are Alzheimer type dementia and Vascular type dementia, although there are other forms known as mixed dementia. All of these forms can be associated with different patterns of anatomical affectation, different risk factors, multiple diagnostic characteristics and multiple profiles of neuropsychological tests, making the differential diagnosis of dementias (DDD) very complex. In this paper we propose new diagnostic tools based on a data fusion scheme using artificial neural networks and ensemble systems, which offer important advantages referring to other computational solutions. We have designed two HUMANNS based systems, with capacity of processing missing data. We explore their ability for DDD using a battery of cognitive and functional/instrumental neuropsychological tests. We carried out a comparative study between these systems and an clinical expert, reaching these systems a higher level of performance than the expert. Our proposal is a smart and effective complementary method to assist the diagnosis of dementia both in specialized care as well as in primary care centres. © 2010 ieee.

关键词： data fusion

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