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Open Source Fuzzing Tools,, Noam Rathaus

Open Source Fuzzing Tools,

Автор: Noam Rathaus
Название:  Open Source Fuzzing Tools,   (Общедоступные инструменты по тестированию софта)
Издательство: Elsevier Science
Классификация:
Общая теория обработки данных
Базы данных

ISBN: 1597491950
ISBN-13(EAN): 9781597491952
ISBN: 1-59749-195-0
ISBN-13(EAN): 978-1-59749-195-2
Обложка/Формат: Paperback
Страницы: 210
Вес: 0.39 кг.
Дата издания: 20.12.2007
Серия: Syngress
Язык: ENG
Иллюстрации: 1, black & white illustrations
Размер: 235 x 191 mm, 376 grams
Читательская аудитория: Professional & Vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Fuzzing is often described as a black box software testing technique. It works by automatically feeding a program multiple input iterations in an attempt to trigger an internal error indicative of a bug, and potentially crash it. Such program errors and crashes are indicative of the existence of a security vulnerability, which can later be researched and fixed.

Fuzz testing is now making a transition from a hacker-grown tool to a commercial-grade product. There are many different types of applications that can be fuzzed, many different ways they can be fuzzed, and a variety of different problems that can be uncovered. There are also problems that arise during fuzzing; when is enough enough? These issues and many others are fully explored.

Learn how fuzzing finds vulnerabilities; eliminate buffer overflows, format strings and other potential flaws; find coverage of available Fuzzing tools and complete coverage of open source and commercial tools and their uses; build your own Fuzzer; automate the process of vulnerability research by building your own tools; understand how fuzzing works within the development process; and, learn how fuzzing serves as a quality assurance tool for your own and third-party software.

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Склад Америка: 69шт.  
При оформлении заказа до: 11 авг 2017
Ориентировочная дата поставки: 4 сен 2017
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Applications of Fuzzy Sets Theory / 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings

Автор: Masulli Francesco, Mitra Sushmita, Pasi Gabriella
Название: Applications of Fuzzy Sets Theory / 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Camogli, Italy, July 7-10, 2007, Proceedings
ISBN: 354073399X ISBN-13(EAN): 9783540733997
Издательство: Springer
Цена: 9239 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This volume constitutes the refereed proceedings of the 7th International Workshop on Fuzzy Logic and Applications held in Camogli, Genoa, Italy in July 2007.
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Fuzzy Systems and Knowledge Discovery / Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II

Автор: Wang Lipo, Jin Yaochu
Название: Fuzzy Systems and Knowledge Discovery / Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part II
ISBN: 3540283315 ISBN-13(EAN): 9783540283317
Издательство: Springer
Цена: 8855 р.
Наличие на складе: Нет в наличии.
Описание: The two volume set LNAI 3613 and LNAI 3614 constitutes the refereedproceedings of the Second International Conference on Fuzzy Systems andKnowledge Discovery, FSKD 2005, held in Changsha, China, in August 2005 as a joint event in federation with the First International Conference on Natural Computation ICNC 2005 (LNCS volumes 3610, 3611, and 3612).The program committee selected 206 carefully revised full papers and 127 short papers for presentation in two volumes from 1249 submissions. The first volume includes all the contributions related to fuzzy theory and models, uncertainty management and probabilistic methods in data mining, approximate reasoning, axiomatic foundation, fuzzy classifiers, fuzzy clustering, fuzzy database mining and information retrieval, information fusion, neuro-fuzzy systems, fuzzy control, fuzzy hardware, knowledge visualization and exploration, sequential data analysis, parallel and distributed data mining, and rough sets. The second volume deals with dimensionality reduction, pattern recognition and trend analysis, other topics in FSKD methods, mining of spatial, textual, image and time-series data, fuzzy systems in bioinformatics and bio-medical engineering, in expert system and informatics, and in pattern recognition and diagnostics; knowledge discovery in bioinformatics, bio-medical engineering, and in expert system and informatics; active information gathering on the web, and neural and fuzzy computation in cognitive computer vision.
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Fuzzy Systems and Knowledge Discovery / Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I

Автор: Wang Lipo, Jin Yaochu
Название: Fuzzy Systems and Knowledge Discovery / Second International Conference, FSKD 2005, Changsha, China, August 27-29, 2005, Proceedings, Part I
ISBN: 3540283129 ISBN-13(EAN): 9783540283126
Издательство: Springer
Цена: 8855 р.
Наличие на складе: Нет в наличии.
Описание: The two volume set LNAI 3613 and LNAI 3614 constitutes the refereedproceedings of the Second International Conference on Fuzzy Systems andKnowledge Discovery, FSKD 2005, held in Changsha, China, in August 2005 as a joint event in federation with the First International Conference on Natural Computation ICNC 2005 (LNCS volumes 3610, 3611, and 3612).The program committee selected 206 carefully revised full papers and 127 short papers for presentation in two volumes from 1249 submissions. The first volume includes all the contributions related to fuzzy theory and models, uncertainty management and probabilistic methods in data mining, approximate reasoning, axiomatic foundation, fuzzy classifiers, fuzzy clustering, fuzzy database mining and information retrieval, information fusion, neuro-fuzzy systems, fuzzy control, fuzzy hardware, knowledge visualization and exploration, sequential data analysis, parallel and distributed data mining, and rough sets. The second volume deals with dimensionality reduction, pattern recognition and trend analysis, other topics in FSKD methods, mining of spatial, textual, image and time-series data, fuzzy systems in bioinformatics and bio-medical engineering, in expert system and informatics, and in pattern recognition and diagostics; knowledge discovery in bioinformatics, bio-medical engineering, and in expert system and informatics; active information gathering on the web, and neural and fuzzy computation in cognitive computer vision.
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Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information

Автор: Ma Zongmin
Название: Fuzzy Database Modeling of Imprecise and Uncertain Engineering Information
ISBN: 3540306757 ISBN-13(EAN): 9783540306757
Издательство: Springer
Цена: 11164 р.
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Описание: This book presents recent advances for imprecise and uncertain engineering information from the point of view of fuzzy database modeling. The topics include fuzzy conceptual data modeling of engineering information, conversion of the fuzzy conceptual models, and database implementation of the fuzzy conceptual data models. Some major data and database models for engineering information modeling are investigated. The main novel aspect of this book is that the book focuses on imprecise and uncertain industrial information modeling viewed from databases and fuzzy database technologies viewed from industrial applications. This may be useful for people involved in theory research, design implementation, and application development of intelligent engineering databases.
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Fuzzy Database Modeling with XML

Автор: Ma Zongmin
Название: Fuzzy Database Modeling with XML
ISBN: 0387242481 ISBN-13(EAN): 9780387242484
Издательство: Springer
Цена: 10009 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy databases. This volume is the outgrowth of research the author has conducted in recent years. Fuzzy Database Modeling with XML introduces state-of-the-art information to the database research, while at the same time serving the information technology professional faced with a non-traditional application that defeats conventional approaches.The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. It is essential in this case to integrate multiple fuzzy database systems. Since databases are commonly employed to store and manipulate XML data, additional requirements are necessary to model fuzzy information with XML. Secondly, this book maps fuzzy XML model to the fuzzy databases. Very few efforts at investigating these issues have thus far occurred.Fuzzy Database Modeling with XML is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
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Knowledge Discovery and Data Mining / The Info-Fuzzy Network (IFN) Methodology

Автор: Maimon O., Last M.
Название: Knowledge Discovery and Data Mining / The Info-Fuzzy Network (IFN) Methodology
ISBN: 0792366476 ISBN-13(EAN): 9780792366478
Издательство: Springer
Цена: 8851 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This book presents a unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network. The IFN methodology handles a selection of the most relevant features, extraction of informative rules and patterns, and post-processing of the extracted knowledge. This book provides detailed descriptions of the IFN algorithms and discusses real-world case studies from several application domains including manufacturing, process engineering, health care, and education. In addition, the book describes the methodology of applications and compares the IFN performance to other data mining methods. Audience: This book is intended to be used by researchers in the field of information systems, engineering, computer science, statistics, and management who are searching for a unified theoretical approach to the knowledge discovery process. The book can also serve as a reference book for courses on data mining, machine learning, and databases.
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Fuzzy Logic, Identification and Predictive Control

Автор: Espinosa Jairo, Vandewalle Joos, Wertz Vincent
Название: Fuzzy Logic, Identification and Predictive Control
ISBN: 1852338288 ISBN-13(EAN): 9781852338282
Издательство: Springer
Цена: 8081 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" responses, circumstances where an imprecise linguistic description is often more relevant than a cut-and-dried numerical one. The ability of fuzzy systems to handle numeric and linguistic information within a single framework renders them efficacious in this form of expert control system.Divided into two parts, Fuzzy Logic, Identification and Predictive Control first shows you how to construct static and dynamic fuzzy models using the numerical data from a variety of real-world industrial systems and simulations. The second part demonstrates the exploitation of such models to design control systems employing techniques like data mining.Fuzzy Logic, Identification and Predictive Control is a comprehensive introduction to the use of fuzzy methods in many different control paradigms encompassing robust, model-based, PID-like and predictive control. This combination of fuzzy control theory and industrial serviceability will make a telling contribution to your research whether in the academic or industrial sphere and also serves as a fine roundup of the fuzzy control area for the graduate student.Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
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Fuzzy Sets and Systems - IFSA 2003 / 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30 - July 2, 2003, Proceedings

Автор: Bilgic Taner, Baets Bernard De, Kaynak Okays
Название: Fuzzy Sets and Systems - IFSA 2003 / 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30 - July 2, 2003, Proceedings
ISBN: 3540403833 ISBN-13(EAN): 9783540403838
Издательство: Springer
Цена: 7157 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 10th International Fuzzy Systems Association World Congress, IFSA 2003, held in June/July 2003 in Istanbul, Turkey.The 84 papers presented together with 5 invited papers were carefully reviewed and selected form 318 submissions. The papers address all current issues in the area and present the state of the art in fuzzy sets, fuzzy systems, and fuzzy logic and their applications in a broad variety of fields. The papers are divided in four parts on mathematical issues, methodological issues, application areas, and cross-disciplinary issues.
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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing / 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings

Автор: Wang Guoyin, Liu Qing, Yao Yiyu, Skowron Andrzej
Название: Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing / 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings
ISBN: 3540140409 ISBN-13(EAN): 9783540140405
Издательство: Springer
Цена: 7696 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: This book constitutes the refereed proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2003, held in Chongqing, China in May 2003.The 39 revised full papers and 75 revised short papers presented together with 2 invited keynote papers and 11 invited plenary papers were carefully reviewed and selected from a total of 245 submissions. The papers are organized in topical sections on rough sets foundations and methods; fuzzy sets and systems; granular computing; neural networks and evolutionary computing; data mining, machine learning, and pattern recognition; logics and reasoning; multi-agent systems; and Web intelligence and intelligent systems.
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Fuzzy Modeling and Control

Автор: Piegat Andrzej
Название: Fuzzy Modeling and Control
ISBN: 3790813850 ISBN-13(EAN): 9783790813852
Издательство: Springer
Цена: 13086 р.
Наличие на складе: Есть у поставщика.Поставка под заказ.
Описание: In the last ten years, a true explosion of investigations into fuzzy modeling and its applications in control, diagnostics, decision making, optimization, pattern recognition, robotics, etc. has been observed. The attraction of fuzzy modeling results from its intelligibility and the high effectiveness of the models obtained. Owing to this the modeling can be applied for the solution of problems which could not be solved till now with any known conventional methods. The book provides the reader with an advanced introduction to the problems of fuzzy modeling and to one of its most important applications: fuzzy control. It is based on the latest and most significant knowledge of the subject and can be used not only by control specialists but also by specialists working in any field requiring plant modeling, process modeling, and systems modeling, e.g. economics, business, medicine, agriculture,and meteorology.
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Foundations of Fuzzy Logic and Semantic Web Languages

Автор: Straccia
Название: Foundations of Fuzzy Logic and Semantic Web Languages
ISBN: 1439853479 ISBN-13(EAN): 9781439853474
Издательство: Taylor&Francis
Цена: 5895 р.
Наличие на складе: Поставка под заказ.
Описание: Providing a broad overview of the state of the art, this book presents mathematical methods and tools for representing fuzzy information and reasoning within Semantic Web languages. It covers the three main streams of Semantic Web languages: triple languages (RDF and RDFS), conceptual languages (OWL, OWL 2, and their profiles), and rule-based languages (SWRL and RIF). With a focus on practical/implementation issues and application examples, the text explores such key topics as Semantic-based decision making, multimedia information retrieval, matchmaking, formalization, optimization, and reasoning.
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Fuzzy Preference Queries to Relational Databases

Автор: Pivert Olivier
Название: Fuzzy Preference Queries to Relational Databases
ISBN: 1848168691 ISBN-13(EAN): 9781848168695
Издательство: World Scientific Publishing
Цена: 11453 р.
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Описание: The manipulation of databases is an integral part of a world which is becoming increasingly and pervasively information-focused. This book puts forward a suggestion to advocate preference queries and fuzzy sets as a central concern in database queries and offers an important contribution to the design of intelligent information systems. It provides a comprehensive study on fuzzy preference queries in the context of relational databases. Preference queries, a recent hot topic in database research, provide a basis for rank-ordering the items retrieved, which is especially valuable for large sets of answers.This book aims to show that fuzzy set theory constitutes a highly expressive framework for modeling preference queries. It presents a study of the algorithmic aspects related to the evaluation of such queries in order to demonstrate that this framework offers a good trade-off between expressivity and efficiency. Numerous examples and proofs are liberally and lucidly demonstrated throughout, and greatly enhance the detailed theoretical aspects explored in the book.Researchers working in databases will greatly benefit from this comprehensive and up-to-date study of fuzzy preference queries, and it will also become an invaluable reference point for postgraduate students interested in advanced database techniques.The only other books which deal with this topic are edited books or conference proceedings which include a few contributions about some specific aspects of the question. This book provides a comprehensive view of the issue, starting with basic notions related to relational databases and fuzzy set theory, up to the detailed study of complex fuzzy queries and the way they can be efficiently processed. It is the compendium of more than 2 years of research by the authors who benefit from a great international recognition in the domain of intelligent information systems, on the subject.
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