Data Analysis For Network Cyber Security

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Data Analysis For Network Cyber Security

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Author : Niall M Adams
language : en
Publisher: World Scientific
Release Date : 2014-04-04

Data Analysis For Network Cyber Security written by Niall M Adams and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-04-04 with Mathematics categories.

There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity.Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis approaches are a natural candidate. However, such methods do not scale well to the demands of real problems, and the critical aspect of the timing of communications events is not accounted for in these approaches.This book gathers papers from leading researchers to provide both background to the problems and a description of cutting-edge methodology. The contributors are from diverse institutions and areas of expertise and were brought together at a workshop held at the University of Bristol in March 2013 to address the issues of network cyber security. The workshop was supported by the Heilbronn Institute for Mathematical Research.

Big Data Analytics In Cybersecurity

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Author : Onur Savas
language : en
Publisher: CRC Press
Release Date : 2017-09-18

Big Data Analytics In Cybersecurity written by Onur Savas and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-18 with Business & Economics categories.

Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.

Data Analytics And Decision Support For Cybersecurity

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Author : Iván Palomares Carrascosa
language : en
Publisher: Springer
Release Date : 2017-08-01

Data Analytics And Decision Support For Cybersecurity written by Iván Palomares Carrascosa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-01 with Computers categories.

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Quantum Computing Cyber Security And Cryptography

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Author : S. B. Goyal
language : en
Publisher: Springer Nature
Release Date : 2025-08-20

Quantum Computing Cyber Security And Cryptography written by S. B. Goyal and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-20 with Computers categories.

This book examines the fundamentals of quantum computing and its applications in codebreaking and hacking, as well as strategies and technologies for defending systems against quantum attacks. It brings together leading experts from across academia and industry to provide a comprehensive overview of the impacts of quantum computing on cybersecurity and cryptography. As quantum computers become more powerful and practical in the coming years, they pose a serious threat to current encryption and cybersecurity methods which rely on computational difficulty. The book provides readers with a holistic understanding of the quantum computing landscape and its implications on information security. The chapters cover the foundational concepts of quantum mechanics and key quantum algorithms relevant to cryptography and cybersecurity. Detailed discussions on quantum cryptanalysis, post-quantum cryptography, quantum key distribution, and quantum random number generation equip readers with technical knowledge of quantum-safe cryptosystems. Practical topics such as quantum programming, software tools, and implementation of quantum-resistant solutions in different sectors like finance, healthcare, and the Internet of Things provide actionable insights for organizations. The book concludes with an analysis of collaborative strategies, policies and future research directions to foster innovation in quantum-safe cybersecurity. Overall, this book serves as an essential reference for security professionals, researchers, students, and technology leaders interested in preparing systems and data for the quantum computing era.

Integrating Artificial Intelligence In Cybersecurity And Forensic Practices

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Author : Omar, Marwan
language : en
Publisher: IGI Global
Release Date : 2024-12-06

Integrating Artificial Intelligence In Cybersecurity And Forensic Practices written by Omar, Marwan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Computers categories.

The exponential rise in digital transformation has brought unprecedented advances and complexities in cybersecurity and forensic practices. As cyber threats become increasingly sophisticated, traditional security measures alone are no longer sufficient to counter the dynamic landscape of cyber-attacks, data breaches, and digital fraud. The emergence of Artificial Intelligence (AI) has introduced powerful tools to enhance detection, response, and prevention capabilities in cybersecurity, providing a proactive approach to identifying potential threats and securing digital environments. In parallel, AI is transforming digital forensic practices by automating evidence collection, enhancing data analysis accuracy, and enabling faster incident response times. From anomaly detection and pattern recognition to predictive modeling, AI applications in cybersecurity and forensics hold immense promise for creating robust, adaptive defenses and ensuring timely investigation of cyber incidents. Integrating Artificial Intelligence in Cybersecurity and Forensic Practices explores the evolving role of AI in cybersecurity and forensic science. It delves into key AI techniques, discussing their applications, benefits, and challenges in tackling modern cyber threats and forensic investigations. Covering topics such as automation, deep neural networks, and traffic analysis, this book is an excellent resource for professionals, researchers, students, IT security managers, threat analysts, digital forensic investigators, and more.

Big Data Analytics In Cybersecurity And It Management

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Author : Onur Savas
language : en
Publisher:
Release Date : 2017

Big Data Analytics In Cybersecurity And It Management written by Onur Savas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Big data categories.

The power of big data in cybersecurity -- Big data analytics for network forensics -- Dynamic analytics-driven assessment of vulnerabilities and exploitation -- Big data analytics for mobile app security -- Machine unlearning: repairing learning models in adversarial -- Environments -- Cybersecurity training -- Machine unlearning: repairing learning models in adversarial environments -- Big data analytics for mobile app security -- Security, privacy and trust in cloud computing: challenges and solutions -- Cybersecurity in internet of things (IOT) -- Data visualization for cyber security -- Analyzing deviant socio-technical behaviors using social network analysis and cyber forensics-based methodologies -- Security tools -- Data and research initiatives for cybersecurity analysis

The Comprehensive Guide To Cybersecurity Hiring

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Author : Jason Edwards
language : en
Publisher: J. Ross Publishing
Release Date : 2024-05-14

The Comprehensive Guide To Cybersecurity Hiring written by Jason Edwards and has been published by J. Ross Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.

This comprehensive guide provides professionals, hiring managers, and business leaders with essential strategies and insights to navigate the complex cybersecurity talent landscape. It illuminates the nuances of various cybersecurity roles, providing a deep understanding of the skills and challenges inherent in these positions. These best practices extend beyond traditional recruitment methods, advocating for innovative tactics such as leveraging educational partnerships, social media, and community engagement to attract top talent in a competitive market. Additionally, The Comprehensive Guide to Cybersecurity Hiring emphasizes strategies for retention, highlighting the importance of developing a diverse and inclusive workplace, fostering continuous professional development, and creating an engaging work environment. This guide also delves into the crucial legal and ethical considerations in hiring to ensure compliance with regulations and ethical standards. For HR professionals, it serves as a vital tool to align recruitment with the specific needs of cybersecurity teams, thereby enhancing the integration of new hires. It provides insights into HR challenges for cybersecurity leaders and how to promote a collaborative approach to build a resilient cybersecurity workforce. The Comprehensive Guide to Cybersecurity Hiring is more than a book; it's a strategic asset for securing your organization's digital future by empowering you with the knowledge to attract, develop, and retain the right cybersecurity talent. Key Features In-Depth Role Analysis: Explores various cybersecurity roles, outlines specific responsibilities, skills, and challenges, and provides a comprehensive understanding of effective recruitment. Retention Best Practices: Offers insightful strategies for retaining top cybersecurity talent, focusing on career development opportunities, mentorship programs, and creating a supportive work culture. Diversity and Inclusion Emphasis: Focuses on developing an inclusive and diverse workplace in cybersecurity, highlighting their importance in driving innovation and problem solving. Real-World Case Studies: Includes real-world examples and case studies to illustrate successful cybersecurity hiring practices in action. Future Trends and Industry Evolution: Analyzes current trends and future directions in cybersecurity, preparing readers for evolving industry requirements and role transformations. Practical Tools and Resources: Provides practical tools, templates, and resources for HR professionals to use in cybersecurity hiring and management processes. Career Path Mapping: Offers guidance on mapping out clear career paths in cybersecurity, which aids recruitment and retention by setting transparent progression routes for professionals in the field. WAV features a Behavioral Interview Guide for hiring managers and a career questions rubrics— available from the Web Added ValueTM Download Resource Center at jrosspub.com/wav

Data Science For Cyber Security

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Author : Nicholas A Heard
language : en
Publisher: World Scientific
Release Date : 2018-09-26

Data Science For Cyber Security written by Nicholas A Heard and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-26 with Computers categories.

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.

Data Analytics For Cybersecurity

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Author : Vandana P. Janeja
language : en
Publisher: Cambridge University Press
Release Date : 2022-07-21

Data Analytics For Cybersecurity written by Vandana P. Janeja and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-21 with Computers categories.

Shows how traditional and nontraditional methods such as anomaly detection and time series can be extended using data analytics.

Ai Driven Cyber Security

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Author : S. R. Jena
language : en
Publisher: Scholars' Press
Release Date : 2024-01-17

Ai Driven Cyber Security written by S. R. Jena and has been published by Scholars' Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-17 with Computers categories.

Welcome to the forefront of modern cyber security – a landscape shaped and transformed by the relentless evolution of Artificial Intelligence (AI) and Deep Learning technologies. As we stand at the precipice of the digital era, the need for robust, intelligent defense mechanisms against cyber threats has never been more pressing. This book, "AI-Driven Cyber Security: Navigating the Digital Frontier with Deep Learning" embarks on a comprehensive journey through the intricate realm where cutting-edge AI meets the ever-evolving challenges of cyber security. In the interconnected world we inhabit, where data is the lifeblood of every organisation, the marriage of AI and cyber security becomes not just a choice but a necessity. Moreover, the book contains 8 chapters. They are: 1. Introduction to Cyber Security 2. Foundations of Cyber Security 3. Basics of AI and Deep Learning 4. AI in Cyber Security: An Overview 5. Deep Learning for Threat Detection 6. Natural Language Processing (NLP) in Cyber Security 7. Adversarial Machine Learning 8. Explainability and Transparency in AI Security