Fuzzing for Software Security Testing and Quality Assurance

Fuzzing for Software Security Testing and Quality Assurance

Fuzzing for Software Security Testing and Quality Assurance

Product Description

Learn the code cracker’s malicious mindset, so you can find worn-size holes in the software you are designing, testing, and building. Fuzzing for Software Security Testing and Quality Assurance takes a weapon from the black-hat arsenal to give you a powerful new tool to build secure, high-quality software. This practical resource helps you add extra protection without adding expense or time to already tight schedules and budgets. The book shows you how to make fuzzing a standard practice that integrates seamlessly with all development activities.



This comprehensive reference goes through each phase of software development and points out where testing and auditing can tighten security. It surveys all popular commercial fuzzing tools and explains how to select the right one for a software development project. The book also identifies those cases where commercial tools fall short and when there is a need for building your own fuzzing tools.

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Earl Cox, "The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems"

The Fuzzy Systems Handbook: A Practitioner's Guide to Building, Using, and Maintaining Fuzzy Systems

Academic Press | 1994 | ISBN: 0121942708 | 512 pages | PDF | 6,7 MB

A comprehensive introduction to fuzzy logic, this book leads the reader through the complete process of designing, constructing, implementing, verifying and maintaining a platform-independent fuzzy system model. It is written in a tutorial style that assumes no background in fuzzy logic on the reader's part. The enclosed disk contains all of the book's examples in C++ code.

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Fuzzy Information and Engineering: Proceedings of the Second International Conference of Fuzzy Information and Engineering (ICFIE) (Advances SW engn)

Fuzzy Information and Engineering

Fuzzy Information and Engineering: Proceedings of the Second International Conference of Fuzzy Information and Engineering (ICFIE) (Advances in Soft Computing)
Springer | 1032 pages | 2007 | ISBN: 3540714405 | PDF | 12 mb

The Second International Conference on Fuzzy Information and Engineering (ICFIE2007), built on the success of previous conferences, the ICIKE2002 (Dalian China), is a major symposium for scientists, engineers and practitioners in China as well as the world to present their latest results, ideas, developments and applications in all areas of fuzzy information and knowledge engineering. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in fuzzy fields such as Fuzzy Information, Fuzzy Sets and Systems, Soft Computing, Fuzzy Engineering, Fuzzy Operation Research and Management, Artificial Intelligence, Rough Sets and Its Application, Application in Fuzzy Mathematics and Systems, etc.

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Fuzzy Information and Engineering: Proceedings of the Second International Conference of Fuzzy Information and Engineering (ICFIE) (Advances in Soft C

Fuzzy Information and Engineering

Posted By : holdemorg | Date : 17 Aug 2009 18:45:51 | Comments : 0

Fuzzy Information and Engineering: Proceedings of the Second International Conference of Fuzzy Information and Engineering (ICFIE) (Advances in Soft Computing)
Springer | 1032 pages | 2007 | ISBN: 3540714405 | PDF | 12 mb

The Second International Conference on Fuzzy Information and Engineering (ICFIE2007), built on the success of previous conferences, the ICIKE2002 (Dalian China), is a major symposium for scientists, engineers and practitioners in China as well as the world to present their latest results, ideas, developments and applications in all areas of fuzzy information and knowledge engineering. It aims to strengthen relations between industry research laboratories and universities, and to create a primary symposium for world scientists in fuzzy fields such as Fuzzy Information, Fuzzy Sets and Systems, Soft Computing, Fuzzy Engineering, Fuzzy Operation Research and Management, Artificial Intelligence, Rough Sets and Its Application, Application in Fuzzy Mathematics and Systems, etc.

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Jay A. Farrell, "Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches

Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches

Jay A. Farrell, "Adaptive Approximation Based Control: Unifying Neural, Fuzzy and Traditional Adaptive Approximation Approaches
(Adaptive and Learning Systems for Signal Processing, Communications and Control Series)"
Wiley-Interscience (April 7, 2006) | English | 0471727881 | 440 pages | PDF | 17.83 MB

A highly accessible and unified approach to the design and analysis of intelligent control systems,
Adaptive Approximation Based Control is a tool every control designer should have in his or her control toolbox.
Mixing approximation theory, parameter estimation, and feedback control, this book presents a unified approach designed to enable readers to apply adaptive approximation based control to existing systems, and, more importantly, to gain enough intuition and understanding to manipulate and combine it with other control tools for applications that have not been encountered before.
The authors provide readers with a thought-provoking framework for rigorously considering such questions as:
* What properties should the function approximator have?
* Are certain families of approximators superior to others?
* Can the stability and the convergence of the approximator parameters be guaranteed?
* Can control systems be designed to be robust in the face of noise, disturbances, and unmodeled effects?
* Can this approach handle significant changes in the dynamics due to such disruptions as system failure?
* What types of nonlinear dynamic systems are amenable to this approach?
* What are the limitations of adaptive approximation based control?
Combining theoretical formulation and design techniques with extensive use of simulation examples, this book is a stimulating text for researchers and graduate students and a valuable resource for practicing engineers.

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Fuzzy Systems and Knowledge Discovery

Fuzzy Systems and Knowledge Discovery

Lipo Wang, Licheng Jiao, Guanming Shi , Xue Lu, Jing Liu, "Fuzzy Systems and Knowledge Discovery: Third International Conference, FSKD 2006, Xi'an, China, September 24-28, 2006, Proceedings"
Springer | 2006 | ISBN: 3540459162 | 1365 pages | PDF | 25,1 MB

This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in Xi'an, China, in September 2006 as a joint event in federation with the Second International Conference on Natural Computation ICNC 2006 (LNCS volumes 4221, and 4222).

The 115 revised full papers and 50 revised short papers presented were carefully reviewed and rigorously selected from 1274 initial submissions. Specific areas covered are neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, etc., with innovative applications to knowledge discovery, finance, operations research, and more. The papers are organized in topical sections on fuzzy theory and algorithms, knowledge discovery theory and algorithms, fuzzy applications, and knowledge discovery applications.

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Fuzzy Sets and Their Extensions

Fuzzy Sets and Their Extensions

Fuzzy Sets and Their Extensions: Representation, Aggregation and Models: Intelligent Systems from Decision Making to Data Mining, Web Intelligence and ... (Studies in Fuzziness and Soft Computing)
Springer | 674 pages | 2007 | ISBN: 3540737227 | PDF | 9.2 mb

This carefully edited book presents an up-to-date state of current research in the use of fuzzy sets and their extensions, paying attention to foundation issues and to their application to four important areas where fuzzy sets are seen to be an important tool for modelling and solving problems.

The book contains 34 chapters divided into two parts. The first part is divided into two sections. Section 1 contains four review papers introducing some non standard representations that extend fuzzy sets (type-2 fuzzy sets, Atanassova€™s IFS, fuzzy rough sets and computing with words under the fuzzy sets perspective). Section 2 reviews different aggregation issues from a theoretical and practical point of view; this second part is divided into four sections. Section 3 is devoted to decision making, with seven papers that show how fuzzy sets and their extensions are an important tool for modelling choice problems. Section 4 includes eight papers that cover different aspects on the use of fuzzy sets and their extensions in data mining, giving an illustrative review of the state of the art on the topic. Section 5 is devoted to the emergent topic of web intelligence and contains four papers that show the use of fuzzy sets theory in some problems that can be tackled in this topic. Section 6 is devoted to the use of fuzzy sets and their extensions in the field of computer vision, suggesting how these can be an useful tool in this area.

This volume will be extremely useful to any non-expert reader who is keen to get a good overview on the latest developments in this research field. It will also support those specialists who wish to discover the latest resultsA and trends in the abovementioned areas.

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