ChatGPT for Cybersecurity Cookbook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1805125117
Total Pages : 372 pages
Book Rating : 4.8/5 (51 download)

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Book Synopsis ChatGPT for Cybersecurity Cookbook by : Clint Bodungen

Download or read book ChatGPT for Cybersecurity Cookbook written by Clint Bodungen and published by Packt Publishing Ltd. This book was released on 2024-03-29 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master ChatGPT and the OpenAI API and harness the power of cutting-edge generative AI and large language models to revolutionize the way you perform penetration testing, threat detection, and risk assessment. Key Features Enhance your skills by leveraging ChatGPT to generate complex commands, write code, and create tools Automate penetration testing, risk assessment, and threat detection tasks using the OpenAI API and Python programming Revolutionize your approach to cybersecurity with an AI-powered toolkit Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAre you ready to unleash the potential of AI-driven cybersecurity? This cookbook takes you on a journey toward enhancing your cybersecurity skills, whether you’re a novice or a seasoned professional. By leveraging cutting-edge generative AI and large language models such as ChatGPT, you'll gain a competitive advantage in the ever-evolving cybersecurity landscape. ChatGPT for Cybersecurity Cookbook shows you how to automate and optimize various cybersecurity tasks, including penetration testing, vulnerability assessments, risk assessment, and threat detection. Each recipe demonstrates step by step how to utilize ChatGPT and the OpenAI API to generate complex commands, write code, and even create complete tools. You’ll discover how AI-powered cybersecurity can revolutionize your approach to security, providing you with new strategies and techniques for tackling challenges. As you progress, you’ll dive into detailed recipes covering attack vector automation, vulnerability scanning, GPT-assisted code analysis, and more. By learning to harness the power of generative AI, you'll not only expand your skillset but also increase your efficiency. By the end of this cybersecurity book, you’ll have the confidence and knowledge you need to stay ahead of the curve, mastering the latest generative AI tools and techniques in cybersecurity.What you will learn Master ChatGPT prompt engineering for complex cybersecurity tasks Use the OpenAI API to enhance and automate penetration testing Implement artificial intelligence-driven vulnerability assessments and risk analyses Automate threat detection with the OpenAI API Develop custom AI-enhanced cybersecurity tools and scripts Perform AI-powered cybersecurity training and exercises Optimize cybersecurity workflows using generative AI-powered techniques Who this book is for This book is for cybersecurity professionals, IT experts, and enthusiasts looking to harness the power of ChatGPT and the OpenAI API in their cybersecurity operations. Whether you're a red teamer, blue teamer, or security researcher, this book will help you revolutionize your approach to cybersecurity with generative AI-powered techniques. A basic understanding of cybersecurity concepts along with familiarity in Python programming is expected. Experience with command-line tools and basic knowledge of networking concepts and web technologies is also required.

ChatGPT for Cybersecurity Cookbook

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Author :
Publisher : Packt Publishing
ISBN 13 : 9781805124047
Total Pages : 0 pages
Book Rating : 4.1/5 (24 download)

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Book Synopsis ChatGPT for Cybersecurity Cookbook by : Clint E. Bodungen

Download or read book ChatGPT for Cybersecurity Cookbook written by Clint E. Bodungen and published by Packt Publishing. This book was released on 2024-03-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Catapult your cybersecurity expertise to new heights using expert-backed recipes.

Machine Learning for Cybersecurity Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1838556346
Total Pages : 338 pages
Book Rating : 4.8/5 (385 download)

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Book Synopsis Machine Learning for Cybersecurity Cookbook by : Emmanuel Tsukerman

Download or read book Machine Learning for Cybersecurity Cookbook written by Emmanuel Tsukerman and published by Packt Publishing Ltd. This book was released on 2019-11-25 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key FeaturesManage data of varying complexity to protect your system using the Python ecosystemApply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineeringAutomate your daily workflow by addressing various security challenges using the recipes covered in the bookBook Description Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers. You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach. What you will learnLearn how to build malware classifiers to detect suspicious activitiesApply ML to generate custom malware to pentest your securityUse ML algorithms with complex datasets to implement cybersecurity conceptsCreate neural networks to identify fake videos and imagesSecure your organization from one of the most popular threats – insider threatsDefend against zero-day threats by constructing an anomaly detection systemDetect web vulnerabilities effectively by combining Metasploit and MLUnderstand how to train a model without exposing the training dataWho this book is for This book is for cybersecurity professionals and security researchers who are looking to implement the latest machine learning techniques to boost computer security, and gain insights into securing an organization using red and blue team ML. This recipe-based book will also be useful for data scientists and machine learning developers who want to experiment with smart techniques in the cybersecurity domain. Working knowledge of Python programming and familiarity with cybersecurity fundamentals will help you get the most out of this book.

Machine Learning for Cybersecurity Cookbook

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Author :
Publisher :
ISBN 13 : 9781789614671
Total Pages : 346 pages
Book Rating : 4.6/5 (146 download)

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Book Synopsis Machine Learning for Cybersecurity Cookbook by : Emmanuel Tsukerman

Download or read book Machine Learning for Cybersecurity Cookbook written by Emmanuel Tsukerman and published by . This book was released on 2019-11-22 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key Features Manage data of varying complexity to protect your system using the Python ecosystem Apply ML to pentesting, malware, data privacy, intrusion detection system(IDS) and social engineering Automate your daily workflow by addressing various security challenges using the recipes covered in the book Book Description Organizations today face a major threat in terms of cybersecurity, from malicious URLs to credential reuse, and having robust security systems can make all the difference. With this book, you'll learn how to use Python libraries such as TensorFlow and scikit-learn to implement the latest artificial intelligence (AI) techniques and handle challenges faced by cybersecurity researchers. You'll begin by exploring various machine learning (ML) techniques and tips for setting up a secure lab environment. Next, you'll implement key ML algorithms such as clustering, gradient boosting, random forest, and XGBoost. The book will guide you through constructing classifiers and features for malware, which you'll train and test on real samples. As you progress, you'll build self-learning, reliant systems to handle cybersecurity tasks such as identifying malicious URLs, spam email detection, intrusion detection, network protection, and tracking user and process behavior. Later, you'll apply generative adversarial networks (GANs) and autoencoders to advanced security tasks. Finally, you'll delve into secure and private AI to protect the privacy rights of consumers using your ML models. By the end of this book, you'll have the skills you need to tackle real-world problems faced in the cybersecurity domain using a recipe-based approach. What you will learn Learn how to build malware classifiers to detect suspicious activities Apply ML to generate custom malware to pentest your security Use ML algorithms with complex datasets to implement cybersecurity concepts Create neural networks to identify fake videos and images Secure your organization from one of the most popular threats - insider threats Defend against zero-day threats by constructing an anomaly detection system Detect web vulnerabilities effectively by combining Metasploit and ML Understand how to train a model without exposing the training data Who this book is for This book is for cybersecurity professionals and security researchers who are looking to implement the latest machine learning techniques to boost computer security, and gain insights into securing an organization using red and blue team ML. This recipe-based book will also be useful for data scientists and machine learning developers who want to experiment with smart techniques in the cybersecurity domain. Working knowledge of Python programming and familiarity with cybersecurity fundamentals will help you get the most out of this book.

Hacking Exposed Industrial Control Systems: ICS and SCADA Security Secrets & Solutions

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Author :
Publisher : McGraw Hill Professional
ISBN 13 : 1259589722
Total Pages : 544 pages
Book Rating : 4.2/5 (595 download)

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Book Synopsis Hacking Exposed Industrial Control Systems: ICS and SCADA Security Secrets & Solutions by : Clint Bodungen

Download or read book Hacking Exposed Industrial Control Systems: ICS and SCADA Security Secrets & Solutions written by Clint Bodungen and published by McGraw Hill Professional. This book was released on 2016-09-22 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to defend crucial ICS/SCADA infrastructure from devastating attacks the tried-and-true Hacking Exposed way This practical guide reveals the powerful weapons and devious methods cyber-terrorists use to compromise the devices, applications, and systems vital to oil and gas pipelines, electrical grids, and nuclear refineries. Written in the battle-tested Hacking Exposed style, the book arms you with the skills and tools necessary to defend against attacks that are debilitating—and potentially deadly. Hacking Exposed Industrial Control Systems: ICS and SCADA Security Secrets & Solutions explains vulnerabilities and attack vectors specific to ICS/SCADA protocols, applications, hardware, servers, and workstations. You will learn how hackers and malware, such as the infamous Stuxnet worm, can exploit them and disrupt critical processes, compromise safety, and bring production to a halt. The authors fully explain defense strategies and offer ready-to-deploy countermeasures. Each chapter features a real-world case study as well as notes, tips, and cautions. Features examples, code samples, and screenshots of ICS/SCADA-specific attacks Offers step-by-step vulnerability assessment and penetration test instruction Written by a team of ICS/SCADA security experts and edited by Hacking Exposed veteran Joel Scambray

IPython Interactive Computing and Visualization Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 178328482X
Total Pages : 899 pages
Book Rating : 4.7/5 (832 download)

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Book Synopsis IPython Interactive Computing and Visualization Cookbook by : Cyrille Rossant

Download or read book IPython Interactive Computing and Visualization Cookbook written by Cyrille Rossant and published by Packt Publishing Ltd. This book was released on 2014-09-25 with total page 899 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists... Basic knowledge of Python/NumPy is recommended. Some skills in mathematics will help you understand the theory behind the computational methods.

Computer Vision: Advanced Techniques and Applications

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Publisher :
ISBN 13 : 9781632408143
Total Pages : 215 pages
Book Rating : 4.4/5 (81 download)

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Book Synopsis Computer Vision: Advanced Techniques and Applications by : Steve Holden

Download or read book Computer Vision: Advanced Techniques and Applications written by Steve Holden and published by . This book was released on 2019-06-05 with total page 215 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer vision is the field of science that is concerned with the development of computers to achieve high-level understanding using digital images or videos. It includes the processes of acquiring, processing and understanding of digital images. It also involves the extraction of data from the real world for the purpose of producing numerical or symbolic information. Some of the areas of interest in computer vision include scene reconstruction, object recognition, 3D pose interpretation, motion estimation, image restoration, etc. The applications of computer vision are in the development of artificial intelligence, surveillance, medical imaging, topographical modeling, navigation, among many others. This book brings forth some of the most innovative concepts and elucidates the unexplored aspects of this discipline. From theories to research to practical applications, studies related to all contemporary topics of relevance to this field have also been included. This book attempts to assist those with a goal of delving into the field of computer vision.

Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

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Author :
Publisher : CRC Press
ISBN 13 : 1000179532
Total Pages : 255 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches by : K. Gayathri Devi

Download or read book Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches written by K. Gayathri Devi and published by CRC Press. This book was released on 2020-10-08 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems. The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications. Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems. Features Includes AI-based decision-making approaches Discusses computational intelligence in the detection and diagnosis of clinical and biomedical images Covers automation of systems through machine learning and deep learning approaches and its implications to the real world Presents data analytics and mining for decision-support applications Offers case-based reasoning

Artificial Intelligence for IoT Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1838986499
Total Pages : 252 pages
Book Rating : 4.8/5 (389 download)

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Book Synopsis Artificial Intelligence for IoT Cookbook by : Michael Roshak

Download or read book Artificial Intelligence for IoT Cookbook written by Michael Roshak and published by Packt Publishing Ltd. This book was released on 2021-03-05 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement machine learning and deep learning techniques to perform predictive analytics on real-time IoT data Key FeaturesDiscover quick solutions to common problems that you'll face while building smart IoT applicationsImplement advanced techniques such as computer vision, NLP, and embedded machine learningBuild, maintain, and deploy machine learning systems to extract key insights from IoT dataBook Description Artificial intelligence (AI) is rapidly finding practical applications across a wide variety of industry verticals, and the Internet of Things (IoT) is one of them. Developers are looking for ways to make IoT devices smarter and to make users' lives easier. With this AI cookbook, you'll be able to implement smart analytics using IoT data to gain insights, predict outcomes, and make informed decisions, along with covering advanced AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you through essential processes such as data collection, data analysis, modeling, statistics and monitoring, and deployment. You'll use real-life datasets from smart homes, industrial IoT, and smart devices to train and evaluate simple to complex models and make predictions using trained models. Later chapters will take you through the key challenges faced while implementing machine learning, deep learning, and other AI techniques, such as natural language processing (NLP), computer vision, and embedded machine learning for building smart IoT systems. In addition to this, you'll learn how to deploy models and improve their performance with ease. By the end of this book, you'll be able to package and deploy end-to-end AI apps and apply best practice solutions to common IoT problems. What you will learnExplore various AI techniques to build smart IoT solutions from scratchUse machine learning and deep learning techniques to build smart voice recognition and facial detection systemsGain insights into IoT data using algorithms and implement them in projectsPerform anomaly detection for time series data and other types of IoT dataImplement embedded systems learning techniques for machine learning on small devicesApply pre-trained machine learning models to an edge deviceDeploy machine learning models to web apps and mobile using TensorFlow.js and JavaWho this book is for If you're an IoT practitioner looking to incorporate AI techniques to build smart IoT solutions without having to trawl through a lot of AI theory, this AI IoT book is for you. Data scientists and AI developers who want to build IoT-focused AI solutions will also find this book useful. Knowledge of the Python programming language and basic IoT concepts is required to grasp the concepts covered in this artificial intelligence book more effectively.

Self-Adaptive Systems for Machine Intelligence

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Publisher : John Wiley & Sons
ISBN 13 : 1118025598
Total Pages : 189 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Self-Adaptive Systems for Machine Intelligence by : Haibo He

Download or read book Self-Adaptive Systems for Machine Intelligence written by Haibo He and published by John Wiley & Sons. This book was released on 2011-09-15 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems. It will provide new approaches for adaptive systems within uncertain environments. This will provide an opportunity to evaluate the strengths and weaknesses of the current state-of-the-art of knowledge, give rise to new research directions, and educate future professionals in this domain. Self-adaptive intelligent systems have wide applications from military security systems to civilian daily life. In this book, different application problems, including pattern recognition, classification, image recovery, and sequence learning, will be presented to show the capability of the proposed systems in learning, memory, and prediction. Therefore, this book will also provide potential new solutions to many real-world applications.

Kali Linux Web Penetration Testing Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1784390852
Total Pages : 297 pages
Book Rating : 4.7/5 (843 download)

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Book Synopsis Kali Linux Web Penetration Testing Cookbook by : Gilberto Nájera-Gutiérrez

Download or read book Kali Linux Web Penetration Testing Cookbook written by Gilberto Nájera-Gutiérrez and published by Packt Publishing Ltd. This book was released on 2016-02-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 80 recipes on how to identify, exploit, and test web application security with Kali Linux 2 About This Book Familiarize yourself with the most common web vulnerabilities a web application faces, and understand how attackers take advantage of them Set up a penetration testing lab to conduct a preliminary assessment of attack surfaces and run exploits Learn how to prevent vulnerabilities in web applications before an attacker can make the most of it Who This Book Is For This book is for IT professionals, web developers, security enthusiasts, and security professionals who want an accessible reference on how to find, exploit, and prevent security vulnerabilities in web applications. You should know the basics of operating a Linux environment and have some exposure to security technologies and tools. What You Will Learn Set up a penetration testing laboratory in a secure way Find out what information is useful to gather when performing penetration tests and where to look for it Use crawlers and spiders to investigate an entire website in minutes Discover security vulnerabilities in web applications in the web browser and using command-line tools Improve your testing efficiency with the use of automated vulnerability scanners Exploit vulnerabilities that require a complex setup, run custom-made exploits, and prepare for extraordinary scenarios Set up Man in the Middle attacks and use them to identify and exploit security flaws within the communication between users and the web server Create a malicious site that will find and exploit vulnerabilities in the user's web browser Repair the most common web vulnerabilities and understand how to prevent them becoming a threat to a site's security In Detail Web applications are a huge point of attack for malicious hackers and a critical area for security professionals and penetration testers to lock down and secure. Kali Linux is a Linux-based penetration testing platform and operating system that provides a huge array of testing tools, many of which can be used specifically to execute web penetration testing. This book will teach you, in the form step-by-step recipes, how to detect a wide array of vulnerabilities, exploit them to analyze their consequences, and ultimately buffer attackable surfaces so applications are more secure, for you and your users. Starting from the setup of a testing laboratory, this book will give you the skills you need to cover every stage of a penetration test: from gathering information about the system and the application to identifying vulnerabilities through manual testing and the use of vulnerability scanners to both basic and advanced exploitation techniques that may lead to a full system compromise. Finally, we will put this into the context of OWASP and the top 10 web application vulnerabilities you are most likely to encounter, equipping you with the ability to combat them effectively. By the end of the book, you will have the required skills to identify, exploit, and prevent web application vulnerabilities. Style and approach Taking a recipe-based approach to web security, this book has been designed to cover each stage of a penetration test, with descriptions on how tools work and why certain programming or configuration practices can become security vulnerabilities that may put a whole system, or network, at risk. Each topic is presented as a sequence of tasks and contains a proper explanation of why each task is performed and what it accomplishes.

Advanced Skills in Executive Protection

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Publisher : Universal-Publishers
ISBN 13 : 1599428490
Total Pages : 494 pages
Book Rating : 4.5/5 (994 download)

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Book Synopsis Advanced Skills in Executive Protection by : A. Hunsicker

Download or read book Advanced Skills in Executive Protection written by A. Hunsicker and published by Universal-Publishers. This book was released on 2010 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: Any professional actively engaged in the executive protection field, novice or veteran, whether in a team or as team leader, must train for, and be able to pinpoint, even the most unexpected security concerns. The continuation of The Fine Art of Executive Protection - Handbook for the Executive Protection Officer (2007), Advanced Skills in Executive Protection contains carefully selected and illustrated material for the executive protection and security enforcement professional. All available training and study material, individual case studies, and real scenarios, combined with professional experience, serve as the foundation for this specialist's manual. For the client, as a prospective principal, it provides important details that will assure lifesaving protection. Comprehensive, detailed, and straightforward, Advanced Skills in Executive Protection is the only book to offer an in-depth look into the operational aspects of executive protection. It guides the reader through a diversity of advanced disciplines and skills and contains all the necessary ingredients for effective protection planning. Information about every aspect of executive protection is not only an important part of the professional's ongoing training curriculum, but is also crucial for the client who seeks this professional protection, to face not only today's protection needs, but also those of the future. See also The Fine Art of Executive Protection: Handbook for the Executive Protection Officer and Understanding International Counter Terrorism: A Professional s Guide to the Operational Art by A. Hunsicker.

High Availability MySQL Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 184719995X
Total Pages : 434 pages
Book Rating : 4.8/5 (471 download)

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Book Synopsis High Availability MySQL Cookbook by : Alex Davies

Download or read book High Availability MySQL Cookbook written by Alex Davies and published by Packt Publishing Ltd. This book was released on 2010-04-27 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 simple but incredibly effective recipes focusing on different methods of achieving high availability for MySQL database.

Microsoft System Center Data Protection Manager Cookbook

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Publisher : Packt Publishing Ltd
ISBN 13 : 1787284549
Total Pages : 415 pages
Book Rating : 4.7/5 (872 download)

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Book Synopsis Microsoft System Center Data Protection Manager Cookbook by : Charbel Nemnom

Download or read book Microsoft System Center Data Protection Manager Cookbook written by Charbel Nemnom and published by Packt Publishing Ltd. This book was released on 2018-12-26 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over 60 recipes to achieve a robust and advanced backup and recovery solution leveraging SCDPM Key FeaturesAdapt to the modern data center design challenges and improve storage efficiencyEffective recipes to help you create your own robust architectural designs Solve data protection and recovery problems in your organizationBook Description System Center Data Protection Manager (SCDPM) is a robust enterprise backup and recovery system that contributes to your BCDR strategy by facilitating the backup and recovery of enterprise data. With an increase in data recovery and protection problems faced in organizations, it has become important to keep data safe and recoverable. This book contains recipes that will help you upgrade to SCDPM and it covers the advanced features and functionality of SCDPM. This book starts by helping you install SCDPM and then moves on to post-installation and management tasks. You will come across a lot of useful recipes that will help you recover your VMware and Hyper-V VMs. It will also walk you through tips for monitoring SCDPM in different scenarios. Next, the book will also offer insights into protecting windows workloads followed by best practices on SCDPM. You will also learn to back up your Azure Stack Infrastructure using Azure Backup. You will also learn about recovering data from backup and implementing disaster recovery. Finally, the book will show you how to configure the protection groups to enable online protection and troubleshoot Microsoft Azure Backup Agent. What you will learnInstall and prepare SQL Server for the SCDPM databaseReduce backup storage with SCDPM and data deduplicationLearn about the prerequisites for supported Hyper-V Server protectionIntegrate SCDPM with other System Center products to build optimal servicesProtect and restore the SCDPM databaseProtect your data center by integrating SCDPM with Azure BackupManually create online recovery points and recover production data from AzureProtect and learn about the requirements to recover Azure Stack with SCDPMWho this book is for If you are an SCDPM administrator, this book will help you verify your knowledge and provide you with everything you need to know about the new release of System Center Data Protection Manager.

OpenSceneGraph 3 Cookbook

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Author :
Publisher : Packt Publishing, Limited
ISBN 13 : 9781849516884
Total Pages : 0 pages
Book Rating : 4.5/5 (168 download)

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Book Synopsis OpenSceneGraph 3 Cookbook by : Rui Wang, M.D

Download or read book OpenSceneGraph 3 Cookbook written by Rui Wang, M.D and published by Packt Publishing, Limited. This book was released on 2012 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a cookbook full of recipes with practical examples enriched with code and the required screenshots for easy and quick comprehension. You should be familiar with the basic concepts of the OpenSceneGraph API and should be able to write simple programs. Some OpenGL and math knowledge will help a lot, too.

Programming in SCHEME

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Author :
Publisher : Springer
ISBN 13 : 1461223946
Total Pages : 242 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Programming in SCHEME by : Mark Watson

Download or read book Programming in SCHEME written by Mark Watson and published by Springer. This book was released on 2012-12-06 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scheme provides a flexible and powerful language for programming embodying many of the best features of logical and functional programming. This enjoyable book provides readers with an introduction to programming in Scheme by constructing a series of interesting and re-usable programs. The book includes two diskettes containing MIT Scheme to run on Windows PCs.

Practical Linux Security Cookbook

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1785285300
Total Pages : 276 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Practical Linux Security Cookbook by : Tajinder Kalsi

Download or read book Practical Linux Security Cookbook written by Tajinder Kalsi and published by Packt Publishing Ltd. This book was released on 2016-04-29 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Secure your Linux machines and keep them secured with the help of exciting recipes About This Book This book provides code-intensive discussions with detailed recipes that help you understand better and learn faster. More than 50 hands-on recipes to create and administer a secure Linux system locally as well as on a network Enhance file system security and local and remote user authentication by using various security tools and different versions of Linux for different tasks Who This Book Is For Practical Linux Security Cookbook is intended for all those Linux users who already have knowledge of Linux File systems and administration. You should be familiar with basic Linux commands. Understanding Information security and its risks to a Linux system is also helpful in understanding the recipes more easily. However, even if you are unfamiliar with Information security, you will be able to easily follow and understand the recipes discussed. Since Linux Security Cookbook follows a practical approach, following the steps is very easy. What You Will Learn Learn about various vulnerabilities and exploits in relation to Linux systems Configure and build a secure kernel and test it Learn about file permissions and security and how to securely modify files Explore various ways to authenticate local users while monitoring their activities. Authenticate users remotely and securely copy files on remote systems Review various network security methods including firewalls using iptables and TCP Wrapper Explore various security tools including Port Sentry, Squid Proxy, Shorewall, and many more Understand Bash vulnerability/security and patch management In Detail With the growing popularity of Linux, more and more administrators have started moving to the system to create networks or servers for any task. This also makes Linux the first choice for any attacker now. Due to the lack of information about security-related attacks, administrators now face issues in dealing with these attackers as quickly as possible. Learning about the different types of Linux security will help create a more secure Linux system. Whether you are new to Linux administration or experienced, this book will provide you with the skills to make systems more secure. With lots of step-by-step recipes, the book starts by introducing you to various threats to Linux systems. You then get to walk through customizing the Linux kernel and securing local files. Next you will move on to manage user authentication locally and remotely and also mitigate network attacks. Finally, you will learn to patch bash vulnerability and monitor system logs for security. With several screenshots in each example, the book will supply a great learning experience and help you create more secure Linux systems. Style and approach An easy-to-follow cookbook with step-by-step practical recipes covering the various Linux security administration tasks. Each recipe has screenshots, wherever needed, to make understanding more easy.