Products related to Security:
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Data-Driven Security : Analysis, Visualization and Dashboards
Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks.This careful guide explores two of the most powerful data analysis and visualization.You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation.Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networksIncludes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacksCovers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and moreWritten by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.
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Advances in Cyber Security and Intelligent Analytics
We live in a digital world, where we use digital tools and smart devices to communicate over the Internet.In turn, an enormous amount of data gets generated. The traditional computing architectures are inefficient in storing and managing this massive amount of data.Unfortunately, the data cannot be ignored as it helps businesses to make better decisions, solve problems, understand performance, improve processes, and understand customers.Therefore, we need modern systems capable of handling and managing data efficiently.In the past few decades, many distributed computing paradigms have emerged, and we have noticed a substantial growth in the applications based on such emerging paradigms.Some well-known emerging computing paradigms include cloud computing, fog computing, and edge computing, which have leveraged the increase in the volume of data being generated every second.However, the distributed computing paradigms face critical challenges, including network management and cyber security.We have witnessed the development of various networking models—IoT, SDN, and ICN—to support modern systems requirements.However, they are undergoing rapid changes and need special attention.The main issue faced by these paradigms is that traditional solutions cannot be directly applied to address the challenges.Therefore, there is a significant need to develop improved network management and cyber security solutions.To this end, this book highlights the challenges faced by emerging paradigms and presents the recent developments made to address the challenges.More specifically, it presents a detailed study on security issues in distributed computing environments and their possible solutions, followed by applications of medical IoT, deep learning, IoV, healthcare, etc.
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Complexity in International Security : A Holistic Spatial Approach
In September 2018, the 73rd General Assembly of the United Nations acknowledged that international instability is increasing and that improving global security is among the most important tasks facing the world today.The Assembly concluded that it is extremely important to develop new, effective frameworks and technologies to understand and confront increasingly complex networks of actors, interests, and contexts.Leading international security expert Peter Sapaty meets this challenge head-on and introduces a new, high-level distributed processing and control approach capable of finding real-time solutions for irregularities, crises, and security problems emerging any time and in any part of the world.Drawing upon the principles of Gestalt psychology, this book develops a radically new model of technology, Spatial Grasp Technology (SGT), a self-navigating, self-replicating, self-modifying spatial pattern technology expressed in a special high-level recursive language.Through rigorous theoretical argument and many practical examples, Sapaty shows how SGT can account for millions to billions of nodes distributed worldwide without vulnerable central resources; explains why SGT is hundreds of times shorter, simpler, and faster than other models and languages; and shows that SGT's technology basics are so simple that they can be effectively implemented even in a short time by a small group of system programmers within traditional university environments.Perhaps most importantly, Sapaty demonstrates how SGT is capable of implementing security scenarios not only at run time, but also conceivably ahead of it, allowing in some cases for the prediction and even prevention of local or global crises.For the novelty, simplicity, and wide applicability of its approach, Complexity in International Security is essential reading for system scientists, application programmers, industry managers, security and defence personnel, and university students interested in advanced MSc and PhD projects in the area of holistic and distributed management.
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Data Analytics & Visualization All-in-One For Dummies
Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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Microbial Resolution : Visualization and Security in the War against Emerging Microbes
Why the global health project to avert emerging microbes continually fails In 1989, a group of U.S. government scientists met to discuss some surprising findings: new diseases were appearing around the world, and viruses that they thought long vanquished were resurfacing.Their appearance heralded a future perpetually threatened by unforeseeable biological risks, sparking a new concept of disease: the “emerging microbe.” With the Cold War nearing its end, American scientists and security experts turned to confront this new “enemy,” redirecting national security against its risky horizons.In order to be fought, emerging microbes first needed to be made perceptible; but how could something immaterial, unknowable, and ever mutating be coaxed into visibility, knowability, and operability? Microbial Resolution charts the U.S.-led war on the emerging microbe to show how their uncertain futures were transformed into objects of global science and security.Moving beyond familiar accounts that link scientific knowledge production to optical practices of visualizing the invisible, Gloria Chan-Sook Kim develops a theory of “microbial resolution” to analyze the complex problematic that arises when dealing with these entities: what can be seen when there is nothing to see?Through a syncretic analysis of data mining, animal-tracking technologies, media networks, computer-modeled futures, and global ecologies and infrastructures, she shows how a visual impasse—the impossibility of seeing microbial futures—forms the basis for new modes of perceiving, knowing, and governing in the present. Timely and thought provoking, Microbial Resolution opens up the rich paradoxes, irreconcilabilities, and failures inherent in this project and demonstrates how these tensions profoundly animate twenty-first-century epistemologies, aesthetics, affects, and ecologies.
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Math For Security : From Graphs and Geometry to Spatial Analysis
Applied Math for Security is one of the first math-based guides specifically geared for information security practitioners.Readers will learn how to use concepts from various fields of mathematics - like graph theory, computational geometry, and statistics - to create and implement ready-to-use security tools.The book is written in a lively, conversational style that engages readers from the get-go.Chapters are enriched with code examples written in Python, and feature hands-on 'proof of concept' projects that involve developing math-based applications to solve real-world problems.Readers are also able to apply the mathematical constructs that they learn to a variety of challenging scenarios, like determining the ideal location for fire stations, disrupting information flow in a social network, building facial recognition software, and designing custom tools for modern security work.
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Spatial Analysis with R : Statistics, Visualization, and Computational Methods
In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.
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Spatial Epidemiological Approaches in Disease Mapping and Analysis
Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries.Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data.Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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What does it mean if someone lacks spatial visualization skills?
If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.
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What are examples of IT security and information security?
Examples of IT security include implementing firewalls, antivirus software, and intrusion detection systems to protect networks and systems from cyber threats. Information security measures may include encrypting sensitive data, implementing access controls, and conducting regular security audits to ensure the confidentiality, integrity, and availability of information. Both IT security and information security are essential to safeguarding an organization's digital assets and preventing unauthorized access or data breaches.
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'Security or Freedom?'
The balance between security and freedom is a complex and delicate one. While security is essential for protecting individuals and society from harm, excessive security measures can encroach on personal freedoms. Conversely, too much freedom without adequate security measures can lead to chaos and endanger the well-being of individuals and society. Finding the right balance between security and freedom is crucial for maintaining a stable and just society. It requires thoughtful consideration of the potential risks and benefits of security measures, as well as a commitment to upholding fundamental human rights and freedoms.
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