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Essential Cybersecurity Science
If you're involved in cybersecurity as a software developer, forensic investigator, or network administrator, this practical guide shows you how to apply the scientific method when assessing techniques for protecting your information systems.You'll learn how to conduct scientific experiments on everyday tools and procedures, whether you're evaluating corporate security systems, testing your own security product, or looking for bugs in a mobile game.Once author Josiah Dykstra gets you up to speed on the scientific method, he helps you focus on standalone, domain-specific topics, such as cryptography, malware analysis, and system security engineering.The latter chapters include practical case studies that demonstrate how to use available tools to conduct domain-specific scientific experiments. Learn the steps necessary to conduct scientific experiments in cybersecurity Explore fuzzing to test how your software handles various inputs Measure the performance of the Snort intrusion detection system Locate malicious "needles in a haystack" in your network and IT environment Evaluate cryptography design and application in IoT products Conduct an experiment to identify relationships between similar malware binaries Understand system-level security requirements for enterprise networks and web services
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Cybersecurity and Cognitive Science
Cybersecurity and Cognitive Science provides the reader with multiple examples of interactions between cybersecurity, psychology and neuroscience.Specifically, reviewing current research on cognitive skills of network security agents (e.g., situational awareness) as well as individual differences in cognitive measures (e.g., risk taking, impulsivity, procrastination, among others) underlying cybersecurity attacks.Chapters on detection of network attacks as well as detection of cognitive engineering attacks are also included.This book also outlines various modeling frameworks, including agent-based modeling, network modeling, as well as cognitive modeling methods to both understand and improve cybersecurity.
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Applied Data Science for Cybersecurity
Discover how to apply contemporary data science and machine learning to cybersecurity In Applied Data Science for Cybersecurity, experienced data science and cybersecurity professional Charles Givre delivers an incisive and technically sound exploration of how to use the latest advances in data science, machine learning, and artificial intelligence to improve your firm's cybersecurity.The author explains what data science and machine learning are before moving on to how to get and prepare data for visualization and processing, how to build and tune machine learning models, and, finally, how to apply all this knowledge to the world of cybersecurity.In the book, you'll discover: How to prepare cybersecurity data for machine learningHow to build machine learning models for cybersecurity applicationsHow to understand deep learning and its application to cybersecurityHow to use the latest artificial intelligence for cybersecurity applicationsHow to attack AI and machine learning models. A must-read for cybersecurity professionals who aim to improve their understanding of machine learning and data science, Applied Data Science for Cybersecurity is also a valuable addition to the library of any information security practitioner with an interest in modern data science and its applications to cybersecurity.
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Behavioral Cybersecurity : Applications of Personality Psychology and Computer Science
Since the introduction and proliferation of the Internet, problems involved with maintaining cybersecurity has grown exponentially, and have evolved into many forms of exploitation. Yet, Cybersecurity has had far too little study and research.Virtually all of the Research that has taken place in cybersecurity over many years, has been done by those with computer science, electrical engineering, and mathematics backgrounds.However, many cybersecurity researchers have come to realize that to gain a full understanding of how to protect a cyber environment requires not only the knowledge of those researchers in computer science, engineering and mathematics, but those who have a deeper understanding of human behavior: researchers with expertise in the various branches of behavioral science, such as psychology, behavioral economics, and other aspects of brain science. The authors, one a computer scientist and the other a psychologist, have attempted over the past several years to understand the contributions that each approach to cybersecurity problems can benefit from this integrated approach that we have tended to call "behavioral cybersecurity."The authors believe that the research and curriculum approaches developed from this integrated approach provide a first book with this approach to cybersecurity.This book incorporates traditional technical computational and analytic approaches to cybersecurity, and also psychological and human factors approaches, as well. FeaturesDiscusses profiling approaches and risk managementIncludes case studies of major cybersecurity events and "Fake News"Presents analyses of password attacks and defensesAddresses game theory, behavioral economics and their application to cybersecuritySupplies research into attacker/defender personality and motivation traitsTechniques for measuring cyber attacks/defenses using crypto and stego
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Should one pursue a degree in cybersecurity or a regular computer science degree?
The decision to pursue a degree in cybersecurity or computer science depends on individual career goals and interests. A degree in cybersecurity is ideal for those who are specifically interested in protecting digital information and systems from cyber threats. On the other hand, a regular computer science degree provides a broader foundation in computer programming, software development, and system design. If one is interested in a career in cybersecurity, a degree in cybersecurity would be more relevant, while a regular computer science degree would be suitable for a wider range of career paths in the technology industry.
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Can you easily explain the digital fingerprint in computer science?
A digital fingerprint in computer science refers to a unique identifier generated from data such as files, documents, or software. It is created using algorithms that produce a fixed-size output based on the input data, making it highly unlikely for two different sets of data to produce the same fingerprint. This fingerprint can be used for various purposes such as verifying the authenticity of data, detecting changes or tampering, and ensuring data integrity and security. Overall, it serves as a digital signature that helps in identifying and tracking digital content.
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Is computer science a natural science?
Computer science is not considered a natural science, but rather a formal science. Natural sciences, such as biology, chemistry, and physics, study the natural world and its phenomena. In contrast, computer science focuses on the study of algorithms, data structures, and the design and analysis of computational systems. While computer science may draw on principles from mathematics and engineering, it is not classified as a natural science.
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Is it worth emigrating to the USA if you have knowledge in cybersecurity and computer science?
Emigrating to the USA for a career in cybersecurity and computer science can be worth it for many individuals. The USA has a strong demand for professionals in these fields, offering competitive salaries and opportunities for career growth. Additionally, the USA is home to many tech companies and innovation hubs, providing a conducive environment for those in cybersecurity and computer science to thrive. However, it is important to consider factors such as visa requirements, cost of living, and cultural differences before making the decision to emigrate.
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Global LGBTQ Activism : Social Media, Digital Technologies, and Protest Mechanisms
Focused on understanding and analyzing LGBTQ activism and protest globally, this edited collection brings together voices from different parts of the world to examine LGBTQ protests and their impact. Through the lens of media, culture, and sociopolitical structures, this collection highlights how cultural and technical factors like the emergence of social media and other digital platforms have impacted LGBTQ activism.This book draws on studies from countries as varied as Zimbabwe, Bangladesh, Sri Lanka, Hungary, Morocco, China, and the US.The contributions provide important insight into how social media and digital platforms have provided space for self-expression and protest and encouraged advocacy and empowerment for LGBTQ movements.It also examines the diversity and similarities between different national contexts and the various obstacles faced, while spotlighting countries that are traditionally understudied in Western academia, in an important step toward decolonizing research.Each chapter, through the voices of activists and media scholars, moves beyond an oversimplified examination of queer protests to show, in rich detail, the exciting yet complicated terrain of queer protests throughout the globe. This book is suitable for media, communication, and cultural studies students; researchers; academics; and LGBTQ activists, as well as students and scholars from related academic disciplines.
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Political Science in Africa : Freedom, Relevance, Impact
Bringing together African and international scholars, this book gives an account of the present state of the discipline of political science in Africa - generating insights into its present and future trajectories, and assessing the freedom with which it is practiced. Tackling subjects including the decolonization of the discipline, political scientists as public intellectuals, and the teaching of political science, this diverse range of perspectives paints a detailed picture of the impact and relevance of the political science discipline on the continent during the struggles for democratization, and the influence it continues to exert today.
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Physics and Philosophy : The Revolution in Modern Science
Nobel Prize winner Werner Heisenberg's classic account explains the central ideas of the quantum revolution, and his celebrated Uncertainty Principle.Heisenberg reveals how words and concepts familiar in daily life can lose their meaning in the world of relativity and quantum physics.This in turn has profound philosophical implications for the nature of reality.
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Artificial Intelligence For Science: A Deep Learning Revolution
This unique collection introduces AI, Machine Learning (ML), and deep neural network technologies leading to scientific discovery from the datasets generated both by supercomputer simulation and by modern experimental facilities.Huge quantities of experimental data come from many sources — telescopes, satellites, gene sequencers, accelerators, and electron microscopes, including international facilities such as the Large Hadron Collider (LHC) at CERN in Geneva and the ITER Tokamak in France.These sources generate many petabytes moving to exabytes of data per year.Extracting scientific insights from these data is a major challenge for scientists, for whom the latest AI developments will be essential.The timely handbook benefits professionals, researchers, academics, and students in all fields of science and engineering as well as AI, ML, and neural networks.Further, the vision evident in this book inspires all those who influence or are influenced by scientific progress.
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Does computer science count as a natural science?
Computer science is not typically considered a natural science, as it is more closely related to mathematics and engineering. Natural sciences typically focus on the study of the physical world and natural phenomena, while computer science deals with the design and use of computers and computational systems. However, computer science does have some overlap with natural sciences in areas like computational biology or environmental modeling.
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What is the significance of the Copernican Revolution for science and the church?
The Copernican Revolution was significant for both science and the church. Scientifically, it marked a major shift in our understanding of the universe, as it challenged the geocentric model and proposed a heliocentric model with the sun at the center. This revolution led to a fundamental change in the way we view the cosmos and laid the groundwork for modern astronomy and physics. For the church, the Copernican Revolution posed a challenge to the traditional interpretation of the Bible, which was based on the geocentric model. The church initially resisted the heliocentric model, as it seemed to contradict the teachings of the Bible. However, over time, the church's stance softened, and it eventually accepted the heliocentric model. This shift in perspective also led to a reevaluation of the relationship between science and religion, and the Copernican Revolution played a key role in shaping the ongoing dialogue between the two.
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Can you recommend popular science books on computer science?
Sure! Some popular science books on computer science that I would recommend are "The Code Book" by Simon Singh, which explores the history and significance of cryptography; "Algorithms to Live By" by Brian Christian and Tom Griffiths, which applies computer algorithms to everyday life; and "The Soul of a New Machine" by Tracy Kidder, which follows the development of a new computer in the 1980s. These books provide accessible and engaging insights into the world of computer science for a general audience.
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Is psychology a social science or a natural science?
Psychology is considered a social science because it focuses on the study of human behavior and mental processes within social and cultural contexts. It examines how individuals interact with each other and their environment, and how these interactions influence behavior and mental processes. While psychology does incorporate elements of natural science, such as the study of brain function and neurotransmitters, its primary focus on human behavior and society places it within the realm of social science.
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