Libros de Informática práctica, página 66 de 418

Resulta indudable que Internet ha cambiado nuestras vidas en muchos aspectos, tanto desde el punto de vista personal, como profesional y empresarial. Un dato que ilustra de manera excepcional este cambio es que las tres empresas de mayor capitalizacion bursatil del Mundo son Google, Apple y Microsoft, las tres muy ligadas al fenomeno Internet, y esto ha sucedido en muy pocos años. Internet ha revolucionado la forma de comunicarnos. Actualmente, la mayoria llevamos siempre un smartphone con conexion a Internet. La voz ha perdido fuerza en nuestras vidas y ha sido sobrepasada por otras herramientas, como el correo electronico, aplicaciones de mensajeria instantanea y Redes Sociales, entre las que Twitter es un protagonista destacado.

"Este libro se dirige a toda persona que desee aprender Python para el Hacking y el análisis forense y formarse en el diseño de herramientas en Python, así como a los profesionales de la seguridad informatica y del Analisis Forense. Tiene como objetivo llevar al lector a una comprension de las librerias especificas de Python para poder luego diseñar sus herramientas personalizadas, adaptadas a situaciones particulares en Hacking y Forensic. Para sacar el maximo provecho posible, es necesario contar con nociones de seguridad informatica. El libro consta de 8 capitulos, cada uno ilustrado por muchos ejemplos y ejercicios con sus correcciones al final del capitulo, para proporcionar al lector una forma de auto-evaluacion.El capitulo 1 permitira aprender los conceptos del lenguaje Python, y las bases del lenguaje. El capitulo 2 esta dedicado a la programacion en red. Abordaremos la programacion de sockets y luego los diferentes servicios tales como HTTP, FTP, POP, SSL, al igual que las expresiones regulares y el acceso a bases de datos. El capitulo 3 esta dedicado a la libreria scapy, muy util en hacking y Forensic; el autor detalla el tratamiento de las tramas, el tunneling, los diferentes tipos de escaneo de red y tambien aborda el protocolo IPv6. Para el capitulo 4, son indispensables conocimientos basicos de la arquitectura PC y ensamblador, asi como el uso de depuradores, para la correcta comprension de la libreria PyDbg empleada. El capitulo 5 esta dedicado al Fuzzing; en la primera parte el autor utiliza librerias ya vistas en capitulos anteriores para luego, en una segunda parte, estudiar una libreria especifica, llamada Sulley, especializada en el fuzzing. El capitulo 6 examina la libreria PIL que va a permitir la gestion de imagenes, su edicion, y captura de imagenes desde una webcam para extraer los datos; el autor examinara tambien un elemento particular de la seguridad en la web, lo captcha. El capitulo 7 desarrolla los conceptos vistos en el capitulo 2, a fin de construir en Python herramientas de analisis de seguridad para sitios web. Por ultimo, el capitulo final esta dedicado integramente al analisis forense (Forensic) ; el autor efectua una revision, no exhaustiva, de las diferentes tecnicas, recorriendo la esteganografia, la criptografia, y el acoso por e-mail.El autor ha querido hacer de este libro un compendio no exhaustivo de las librerias mas utiles, explicandolas e ilustrandolas con ejemplos concretos para que el lector pueda dominar su funcionamiento. Los scripts de cada capitulo pueden descargarse desde el sitio www.ediciones-eni.com. "

Los dispositivos informáticos ocupan un lugar cada vez más relevante en nuestra vida cotidiana: el ordenador personal, los tablets y los teléfonos inteligentes nos han convertido en ciudadanos digita

"Hace tiempo que la informática es algo omnipresente en nuestras vidas. Pero ¿somos conscientes de lo que hay detrás de ese mundo de ceros y unos y de la nueva realidad a la que ha dado lugar y que cada vez conforma mas nuestra forma de vivir y de afrontar nuestro presente y nuestro futuro? El mundo transparente es un recorrido virtual de dos mujeres, madre e hija, para explorar el mundo digital. La hija, un trasunto de la autora, es una experta informatica que iniciara a su madre, una señora culta pero absolutamente novata en estas lides, en todos los conceptos informaticos, Desde el funcionamiento de la programacion, pasando por Internet y las redes sociales, hasta llegar a una brillante exposicion de la realidad futura (aunque ya presente) de las nuevas relaciones laborales o de la economia compartida. Un libro escrito en clave coloquial pero nada frivolo que resultara interesante para todo aquel que quiera saber que es de verdad la informatica mas alla de aparatos y gadgets y como verdaderamente ha cambiado y continuara cambiando muestras vidas.Disponible en ebook: http://www.meridianoeditorial.es/libro/el-mundo-transparente"

This book covers new and significant research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems.It includes heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; decision sciences in an industrial and manufacturing context; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.

This text covers all the material needed to understand the principles behind the AI approach to robotics and to program an artificially intelligent robot for applications involving sensing, navigation, planning, and uncertainty. Robin Murphy is extremely effective at combining theoretical and practical rigor with a light narrative touch. In the overview, for example, she touches upon anthropomorphic robots from classic films and science fiction stories before delving into the nuts and bolts of organizing intelligence in robots.Following the overview, Murphy contrasts AI and engineering approaches and discusses what she calls the three paradigms of AI robotics: hierarchical, reactive, and hybrid deliberative/reactive. Later chapters explore multiagent scenarios, navigation and path-planning for mobile robots, and the basics of computer vision and range sensing. Each chapter includes objectives, review questions, and exercises. Many chapters contain one or more case studies showing how the concepts were implemented on real robots. Murphy, who is well known for her classroom teaching, conveys the intellectual adventure of mastering complex theoretical and technical material.An Instructor''s Manual including slides, solutions, sample tests, and programming assignments is available to qualified professors who are considering using the book or who are using the book for class use.

Recent years have seen an explosion of work on machine learning, the computational study of algorithms that improve performance based on experience.Research on rule induction, neural networks, genetic algorithms, case-based reasoning, and probabilistic inference has produced a variety of robust methods for inducing knowledge from training data.This book covers the main induction algorithms explored in the literature and presents them within a coherent theoretical framework that moves beyond traditional paradigm boundaries. Elements of Machine Learning provides a comprehensive introduction to the fundamental concepts and problems in the field.The book illustrates a variety of basic algorithms for inducing simple concepts from experience, presents alternatives for organizing learned concepts into large-scale structures, and discusses adaptations of the learning methods to more complex problem-solving tasks.The chapters describe these computational techniques in detail and give examples of their operation, along with exercises and references to the literature. This text is suitable for use in graduate courses on machine learning. Researchers and students in artificial intelligence, cognitive science, and statistics will find it a useful and informative addition to their libraries.

Recent years have seen the development of powerful tools for verifying hardware and software systems, as companies worldwide realise the need for improved means of validating their products.There is increasing demand for training in basic methods in formal reasoning so that students can gain proficiency in logic-based verification methods. The second edition of this successful textbook addresses both those requirements, by continuing to provide a clear introduction to formal reasoning which is both relevant to the needs of modern computer science and rigorous enough for practical application. Improvements to the first edition have been made throughout, with extra and expanded sections on SAT solvers, existential/universal second-order logic, micro-models, programming by contract and total correctness.The coverage of model-checking has been substantially updated. Further exercises have been added. Internet support for the book includes worked solutions for all exercises for teachers, and model solutions to some exercises for students.

As systems have grown more crucial to the operations of organizations worldwide, so too have the costs associated with building and maintaining them.Enter model-driven architecture (MDA), a standard framework from the Object Management Group (OMG) that allows developers to link object models together to build complete systems. MDA prevents design decisions from being intertwined with the application and keeps it independent of its implementation. The result is an application that can be combined with other technologies as well as other applications, and models that become highly reusable assets.MDA Distilled is an accessible introduction to the MDA standard and its tools and technologies. The book describes the fundamental features of MDA, how they fit together, and how you can use them in your organization today. You will also learn how to define a model-driven process for a project involving multiple platforms, implement that process, and then test the resulting system.MDA Distilled will help you understand:- The MDA framework, including the platform-independent model (PIM) and the platform-specific model (PSM)- The Meta Object Facility (MOF)--the OMG''s adopted standard for metamodeling- Horizontal, vertical, and merging mappings between models- Building marks and marking models- Elaborating models, including viewing generated models, and managing manual changes- Building executable models with Executable UML- Agile MDA developmentDevelopers and architects can dramatically improve productivity, portability, interoperability, and maintenance with MDA. Find out how with this essential reference, and quickly learn how to harness the significant power of this new framework.

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives when interacting with a complex, uncertain environment.In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning.Their discussion ranges from the history of the field''s intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability. The book is divided into three parts.Part I defines the reinforcement learning problem in terms of Markov decision processes.Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning.Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.

First introduced two decades ago, the term ubiquitous computing is now part of the common vernacular. Ubicomp, as it is commonly called, has grown not just quickly but broadly so as to encompass a wealth of concepts and technology that serves any number of purposes across all of human endeavor. While such growth is positive, the newest generation of ubicomp practitioners and researchers, isolated to specific tasks, are in danger of losing their sense of history and the broader perspective that has been so essential to the fields creativity and brilliance.Under the guidance of John Krumm, an original ubicomp pioneer, Ubiquitous Computing Fundamentals brings together eleven ubiquitous computing trailblazers who each report on his or her area of expertise. Starting with a historical introduction, the book moves on to summarize a number of self-contained topics. Taking a decidedly human perspective, the book includes discussion on how to observe people in their natural environments and evaluate the critical points where ubiquitous computing technologies can improve their lives. Among a range of topics this book examines:- How to build an infrastructure that supports ubiquitous computing applications.- Privacy protection in systems that connect personal devices and personal information.- Moving from the graphical to the ubiquitous computing user interface.- Techniques that are revolutionizing the way we determine a persons location and understand other sensor measurements.While we neednt become expert in every sub-discipline of ubicomp, it is necessary that we appreciate all the perspectives that make up the field and understand how our work can influence and be influenced by those perspectives. This is important, if we are to encourage future generations to be as successfully innovative as the fields originators.

One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own.The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers.Each of the 77 papers in the present book summarizes a current research effort. and provides references to longer expositions appearing elsewhere. These papers cover a broad range of topics. including research on analogy. conceptual clustering. explanation-based generalization. incremental learning. inductive inference. learning apprentice systems. machine discovery. theoretical models of learning. and applications of machine learning methods. A subject index IS provided to assist in locating research related to specific topics.The majority of these papers were collected from the participants at the Third International Machine Learning Workshop. held June 24-26. 1985 at Skytop Lodge. Skytop. Pennsylvania. While the list of research projects covered is not exhaustive. we believe that it provides a representative sampling of the best ongoing work in the field. and a unique perspective on where the field is and where it is headed.

This indispensable handbook describes essential foundations of artificial intelligence.Knowledge Representation, which lies at the core of Artificial Intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically.The Handbook of Knowledge Representation is an up-to-date review of twenty-five key topics in knowledge representation, written by the leaders of each field.This book is an essential resource for students, researchers and practitioners in all areas of Artificial Intelligence.- Make your computer smarter.- Handle qualitative and uncertain information.- Improve computational tractability to solve your problems easily.

Although many software books highlight open problems in secure software development, few provide easily actionable, ground-level solutions.Breaking the mold, Secure and Resilient Software Development teaches you how to apply best practices and standards for consistent and secure software development. It details specific quality software development strategies and practices that stress resilience requirements with precise, actionable, and ground-level inputs.Providing comprehensive coverage, the book illustrates all phases of the secure software development life cycle. It shows developers how to master non-functional requirements including reliability, security, and resilience. The authors provide expert-level guidance through all phases of the process and supply many best practices, principles, testing practices, and design methodologies.Features:- Guides developers in incorporating security testing practices in application development, which helps identify and fix problems early and results in significant cost and time savings.- Provides comprehensive coverage of quality software development practices stressing resilience activities.- Presents precise, actionable, and practical strategies that connect directly with developers.- Shows developers how to master non-functional requirements, including reliability, security, and resilience.

The author compiles everything a student or experienced developmental engineer needs to know about the supporting technologies associated with the rapidly evolving field of robotics.

The best-selling security book in the world with over 600,000 copies sold and translated in some 30 languages.Bolster your systems security and defeat the tools and tactics of cyber-criminals with expert advice and defense strategies from the world-renowned Hacking Exposed team. Case studies expose the hackers latest devious methods and illustrate field-tested remedies.Find out how to block infrastructure hacks, minimize advanced persistent threats, neutralize malicious code, secure web and database applications, and fortify UNIX networks.Hacking Exposed 7: Network Security Secrets & Solutions contains all-new visual maps and a comprehensive countermeasures cookbook.- Obstruct APTs and web-based meta-exploits.- Defend against UNIX-based root access and buffer overflow hacks.- Block SQL injection, spear phishing, and embedded-code attacks.- Detect and terminate rootkits, Trojans, bots, worms, and malware.- Lock down remote access using smartcards and hardware tokens.- Protect 802.11 WLANs with multilayered encryption and gateways.- Plug holes in VoIP, social networking, cloud, and Web 2.0 services.- Learn about the latest iPhone and Android attacks and how to protect yourself.