Using Science In Cybersecurity - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Using Science In Cybersecurity write by Leigh Barnes Metcalf. This book was released on 2021-04-16. Using Science In Cybersecurity available in PDF, EPUB and Kindle. Deploying the scientific method in cybersecurity today is a common-sense approach that is a tough topic in the field of cybersecurity. While most publications in the field emphasize that scientific principles are necessary, there are very few, if any, guides that uncover these principles.This book will give readers practical tools for cybersecurity. It examines the path of developing cybersecurity foundations while taking into account uncertain data. Extensive examples demonstrate how to deploy cybersecurity to sort our day-to-day problems. Using Science in Cybersecurity is intended for advanced undergraduate and graduate students, researchers and practitioners in the fields of cybersecurity, information security, and science of cybersecurity.
Essential Cybersecurity Science
Essential Cybersecurity Science - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Essential Cybersecurity Science write by Josiah Dykstra. This book was released on 2015-12-08. Essential Cybersecurity Science available in PDF, EPUB and Kindle. 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
Data Science For Cyber-security
Data Science For Cyber-security - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Science For Cyber-security write by Nicholas A Heard. This book was released on 2018-09-26. Data Science For Cyber-security available in PDF, EPUB and Kindle. Cyber-security is a matter of rapidly growing importance in industry and government. This book provides insight into a range of data science techniques for addressing these pressing concerns.The application of statistical and broader data science techniques provides an exciting growth area in the design of cyber defences. Networks of connected devices, such as enterprise computer networks or the wider so-called Internet of Things, are all vulnerable to misuse and attack, and data science methods offer the promise to detect such behaviours from the vast collections of cyber traffic data sources that can be obtained. In many cases, this is achieved through anomaly detection of unusual behaviour against understood statistical models of normality.This volume presents contributed papers from an international conference of the same name held at Imperial College. Experts from the field have provided their latest discoveries and review state of the art technologies.
Cybersecurity and Applied Mathematics
Cybersecurity and Applied Mathematics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cybersecurity and Applied Mathematics write by Leigh Metcalf. This book was released on 2016-06-07. Cybersecurity and Applied Mathematics available in PDF, EPUB and Kindle. Cybersecurity and Applied Mathematics explores the mathematical concepts necessary for effective cybersecurity research and practice, taking an applied approach for practitioners and students entering the field. This book covers methods of statistical exploratory data analysis and visualization as a type of model for driving decisions, also discussing key topics, such as graph theory, topological complexes, and persistent homology. Defending the Internet is a complex effort, but applying the right techniques from mathematics can make this task more manageable. This book is essential reading for creating useful and replicable methods for analyzing data. Describes mathematical tools for solving cybersecurity problems, enabling analysts to pick the most optimal tool for the task at hand Contains numerous cybersecurity examples and exercises using real world data Written by mathematicians and statisticians with hands-on practitioner experience
Machine Learning and Cognitive Science Applications in Cyber Security
Machine Learning and Cognitive Science Applications in Cyber Security - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Machine Learning and Cognitive Science Applications in Cyber Security write by Khan, Muhammad Salman. This book was released on 2019-05-15. Machine Learning and Cognitive Science Applications in Cyber Security available in PDF, EPUB and Kindle. In the past few years, with the evolution of advanced persistent threats and mutation techniques, sensitive and damaging information from a variety of sources have been exposed to possible corruption and hacking. Machine learning, artificial intelligence, predictive analytics, and similar disciplines of cognitive science applications have been found to have significant applications in the domain of cyber security. Machine Learning and Cognitive Science Applications in Cyber Security examines different applications of cognition that can be used to detect threats and analyze data to capture malware. Highlighting such topics as anomaly detection, intelligent platforms, and triangle scheme, this publication is designed for IT specialists, computer engineers, researchers, academicians, and industry professionals interested in the impact of machine learning in cyber security and the methodologies that can help improve the performance and reliability of machine learning applications.
