Decision and Game Theory for Security, Sajal K. Das; Cristina Nita-Rotaru; Murat Kantarci

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Автор: R.J. Aumann
Название: Handbook of Game Theory with Economic Applications,3
ISBN: 0444894284 ISBN-13(EAN): 9780444894281
Издательство: Elsevier Science
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Описание: Covers the fundamental theoretical aspects, a range of applications to economics, several chapters on applications to political science and individual chapters on applications to disciplines as diverse as evolutionary biology, computer science, law, psychology and ethics. This title covers topics including strategic (`Nash`) equilibrium.

Автор: Saoussen Krichen,Jouhaina Chaouachi
Название: Graph?€“related Optimization and Decision Theory
ISBN: 1848217439 ISBN-13(EAN): 9781848217430
Издательство: Wiley
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Описание:

Constrained optimization is a challenging branch of operationsresearch that aims to create a model which has a wide range ofapplications in the supply chain, telecommunications and medicalfields. As the problem structure is split into two main components, the objective is to accomplish the feasible set framed by thesystem constraints. The aim of this book is expose optimizationproblems that can be expressed as graphs, by detailing, for eachstudied problem, the set of nodes and the set of edges. Thisgraph modeling is an incentive for designing a platform thatintegrates all optimization components in order to output the bestsolution regarding the parameters' tuning. The authors propose intheir analysis, for optimization problems, to provide theirgraphical modeling and mathematical formulation and expose some oftheir variants. As a solution approaches, an optimizer can be themost promising direction for limited-size instances. For largeproblem instances, approximate algorithms are the most appropriateway for generating high quality solutions. The authors thuspropose, for each studied problem, a greedy algorithm as aproblem-specific heuristic and a genetic algorithm as ametaheuristic.

Автор: Zhu
Название: Decision and Game Theory for Security
ISBN: 331947412X ISBN-13(EAN): 9783319474120
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 7th International Conference on Decision and Game Theory for Security, GameSec 2016, held in New York, NY, USA, in November 2016. The 18 revised full papers presented together with 8 short papers and 5 poster papers were carefully reviewed and selected from 40 submissions.

Автор: Stefan Rass; Bo An; Christopher Kiekintveld; Fei F
Название: Decision and Game Theory for Security
ISBN: 3319687107 ISBN-13(EAN): 9783319687100
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 8th International Conference on Decision and Game Theory for Security, GameSec 2017, held in Vienna, Austria, in October 2017.
The 24 revised full papers presented together with 4 short papers were carefully reviewed and selected from 71 submissions.The papers address topics such as Game theory and mechanism design for security and privacy; Pricing and economic incentives for building dependable and secure systems; Dynamic control, learning, and optimization and approximation techniques; Decision making and decision theory for cybersecurity and security requirements engineering; Socio-technological and behavioral approaches to security; Risk assessment and risk management; Security investment and cyber insurance; Security and privacy for the Internet-of-Things (IoT), cyber-physical systems, resilient control systems; New approaches for security and privacy in cloud computing and for critical infrastructure; Security and privacy of wireless and mobile communications, including user location privacy; Game theory for intrusion detection; and Empirical and experimental studies with game-theoretic or optimization analysis for security and privacy.

Автор: Radha Poovendran; Walid Saad
Название: Decision and Game Theory for Security
ISBN: 3319126008 ISBN-13(EAN): 9783319126005
Издательство: Springer
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Описание: The covered topics cover multiple facets of cyber security that include: rationality of adversary, game-theoretic cryptographic techniques, vulnerability discovery and assessment, multi-goal security analysis, secure computation, economic-oriented security, and surveillance for security.

Автор: Arman (MHR) Khouzani; Emmanouil Panaousis; George
Название: Decision and Game Theory for Security
ISBN: 3319255932 ISBN-13(EAN): 9783319255934
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 6th International Conference on Decision and Game Theory for Security, GameSec 2015, held in London, UK, in November 2015. The 16 revised full papers presented together with 5 short papers were carefully reviewed and selected from 37 submissions.

Автор: Deng-Feng Li
Название: Decision and Game Theory in Management With Intuitionistic Fuzzy Sets
ISBN: 3642407110 ISBN-13(EAN): 9783642407116
Издательство: Springer
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Цена: 22203.00 р.
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Описание: Decision and Game Theory in Management With Intuitionistic Fuzzy Sets

Автор: Deng-Feng Li
Название: Decision and Game Theory in Management With Intuitionistic Fuzzy Sets
ISBN: 3662514265 ISBN-13(EAN): 9783662514269
Издательство: Springer
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Описание:

Chapter 1 Intuitionistic Fuzzy Set Theories

1.1 Introduction

1.2 Intuitionistic Fuzzy Sets and Operations

1.3 Intuitionistic Fuzzy Set Distances and Similarity Degrees

1.3.1 Definition of Similarity Degrees between Intuitionistic Fuzzy Sets

1.3.2 Definition of Distances between Intuitionistic Fuzzy Sets

1.4 Representation Theorem of Intuitionistic Fuzzy Sets

1.5 Extension Principle of Intuitionistic Fuzzy Sets and Operations

1.5.1 Extension Principle of Intuitionistic Fuzzy Sets

1.5.2 Operations over Intuitionistic Fuzzy Sets

1.6 Definitions of Intuitionistic Fuzzy Numbers and Algebraic Operations

1.6.1 Trapezoidal Intuitionistic Fuzzy Numbers and Algebraic Operations

1.6.2 Triangular Intuitionistic Fuzzy Numbers and Algebraic Operations

Chapter 2 Intuitionistic Fuzzy Set Aggregation Operators and Multiattribute Decision Making Methods

2.1 Introduction

2.2 Intuitionistic Fuzzy Set Aggregation Operators and Properties

2.2.1 Intuitionistic Fuzzy Set Weighted Aggregation Operators

2.2.2 Intuitionistic Fuzzy Set Hybrid Weighted Aggregation Operators

2.2.3 Intuitionistic Fuzzy Set Generalized Hybrid Weighted Aggregation Operators

2.3 Intuitionistic Fuzzy Set Generalized Hybrid Weighted Aggregation Method for Intuitionistic Fuzzy Set Multiattribute Decision Making

2.3.1 Formal Representation of Intuitionistic Fuzzy Set Multiattribute Decision Making Problems

2.3.2 Intuitionistic Fuzzy Set Multiattribute Decision Making Process Based on Intuitionistic Fuzzy Set Generalized Hybrid Weighted Aggregation Operators and Real Example Analysis

Chapter 3 Intuitionistic Fuzzy Set Multiattribute Decision Making Methods

3.1 Introduction

3.2 Linear Weighted Average Method for Multiattribute Decision Making with Both Weights and Attribute Ratings Expressed by Intuitionistic Fuzzy Sets

3.2.1 Linear Weighted Average Model of Intuitionistic Fuzzy Set Multiattribute Decision Making

3.2.2 Sensitivity Analysis of Linear Weighted Average Method for Intuitionistic Fuzzy Set Multiattribute Decision Making

3.2.3 Process of Linear Weighted Average Method for Intuitionistic Fuzzy Set Multiattribute Decision Making and Real Example Analysis

3.3 TOPSIS for Intuitionistic Fuzzy Set Multiattribute Decision Making with Both Ideal Solutions and Weights Known

3.3.1 Basic Principle of TOPSIS

3.3.2 Intuitionistic Fuzzy Set TOPSIS Principle and Real Example Analysis

3.4 Optimum Seeking Method for Intuitionistic Fuzzy Set Multiattribute Decision Making with Both Ideal Solutions and Weights Known

3.4.1 Optimum Seeking Principle for Intuitionistic Fuzzy Set Multiattribute Decision Making

3.4.2 Process of Optimum Seeking Method for Intuitionistic Fuzzy Set Multiattribute Decision Making and Real Example Analysis

3.5 Linear Programming Method for Multiattribute Decision Making with Both Weights and Attribute Ratings Expressed by Intuitionistic Fuzzy Sets

3.5.1 Allocation Method of Hesitancy Degrees

3.5.2 Linear Programming Models and Method for Computing Intuitionistic Fuzzy Set Comprehensive Evaluations

3.5.3 Relative Closeness Degree Method of Intuitionistic Fuzzy Set Comprehensive Evaluations and Real Example Analysis

3.6 LINMAP for Intuitionistic Fuzzy Set Multiattribute Decision Making with Both Ideal Solutions and Weights Unknown

3.6.1 Determination Methods of Membership and Nonmembership Degrees of Intuitionistic Fuzzy Sets

3.6.2 Consistency and Inconsistency Measure Methods

3.6.3 LINMAP Models for Intuitionistic Fuzzy Set Multiattribute Decision Making

3.6.4 LINMAP Process for Intuitionistic Fuzzy Set Multiattribute Decision Making and Real Example Analysis

3.7 Fraction Mathematical Programming Method for Intuitionistic Fuzzy Set Multiattribute Decision Making with Unknow

Автор: Martin Peterson
Название: Non-Bayesian Decision Theory
ISBN: 9048179572 ISBN-13(EAN): 9789048179572
Издательство: Springer
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Описание: This book aims to present an account of rational choice from a non-Bayesian point of view. It provides the first non-Bayesian account of normative decision theory and includes a formal account of the framing of decision problems.

Автор: Barron E N
Название: Game Theory
ISBN: 1118216938 ISBN-13(EAN): 9781118216934
Издательство: Wiley
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Описание: This book confirms the role of mathematics in making logical and advantageous decisions and uses modern software applications to create, analyze, and implement effective decision-making models. This Second Edition of the bestselling book provides a balanced treatment of the subject that is both conceptual and hands-on.

Автор: Brandenburger Adam
Название: Language of Game Theory
ISBN: 9814513431 ISBN-13(EAN): 9789814513432
Издательство: World Scientific Publishing
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Описание: This volume contains eight papers written by Adam Brandenburger and his co-authors over a period of 25 years. These papers are part of a program to reconstruct game theory in order to make how players reason about a game a central feature of the theory. The program -- now called epistemic game theory -- extends the classical definition of a game model to include not only the game matrix or game tree, but also a description of how the players reason about one another (including their reasoning about other players' reasoning). With this richer mathematical framework, it becomes possible to determine the implications of how players reason for how a game is played. Epistemic game theory includes traditional equilibrium-based theory as a special case, but allows for a wide range of non-equilibrium behavior.