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Data Science And Security


Data Science And Security
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Data Science For Cyber Security


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 Science And Security


Data Science And Security
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Author : Dharm Singh Jat
language : en
Publisher: Springer Nature
Release Date : 2020-07-31

Data Science And Security written by Dharm Singh Jat and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Computers categories.


This book presents best selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2020), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, during 13–14 March 2020. The proceeding will be targeting the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing and cloud computing.



Data Science And Security


Data Science And Security
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Author : Samiksha Shukla
language : en
Publisher: Springer Nature
Release Date : 2024-05-30

Data Science And Security written by Samiksha Shukla and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-30 with Computers categories.


This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2023), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 02–04 November, 2023. The proceeding targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.



Data Engineering And Data Science


Data Engineering And Data Science
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Author : Kukatlapalli Pradeep Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2023-08-29

Data Engineering And Data Science written by Kukatlapalli Pradeep Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-29 with Mathematics categories.


DATA ENGINEERING and DATA SCIENCE Written and edited by one of the most prolific and well-known experts in the field and his team, this exciting new volume is the “one-stop shop” for the concepts and applications of data science and engineering for data scientists across many industries. The field of data science is incredibly broad, encompassing everything from cleaning data to deploying predictive models. However, it is rare for any single data scientist to be working across the spectrum day to day. Data scientists usually focus on a few areas and are complemented by a team of other scientists and analysts. Data engineering is also a broad field, but any individual data engineer doesn’t need to know the whole spectrum of skills. Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. For all the work that data scientists do to answer questions using large sets of information, there have to be mechanisms for collecting and validating that information. In this exciting new volume, the team of editors and contributors sketch the broad outlines of data engineering, then walk through more specific descriptions that illustrate specific data engineering roles. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This book brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the recent advances in scientific computing that enable data-driven methods to be applied to a diverse range of complex systems, such as turbulence, the brain, climate, epidemiology, finance, robotics, and autonomy. Whether for the veteran engineer or scientist working in the field or laboratory, or the student or academic, this is a must-have for any library.



Secure Data Science


Secure Data Science
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2022-04-27

Secure Data Science written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-27 with Computers categories.


Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.



Encyclopedia Of Cryptography Security And Privacy


Encyclopedia Of Cryptography Security And Privacy
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Author : Sushil Jajodia
language : en
Publisher: Springer Nature
Release Date : 2025-01-10

Encyclopedia Of Cryptography Security And Privacy written by Sushil Jajodia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-10 with Computers categories.


A rich stream of papers and many good books have been written on cryptography, security, and privacy, but most of them assume a scholarly reader who has the time to start at the beginning and work his way through the entire text. The goal of Encyclopedia of Cryptography, Security, and Privacy, Third Edition is to make important notions of cryptography, security, and privacy accessible to readers who have an interest in a particular concept related to these areas, but who lack the time to study one of the many books in these areas. The third edition is intended as a replacement of Encyclopedia of Cryptography and Security, Second Edition that was edited by Henk van Tilborg and Sushil Jajodia and published by Springer in 2011. The goal of the third edition is to enhance on the earlier edition in several important and interesting ways. First, entries in the second edition have been updated when needed to keep pace with the advancement of state of the art. Second, as noticeable already from the title of the encyclopedia, coverage has been expanded with special emphasis to the area of privacy. Third, considering the fast pace at which information and communication technology is evolving and has evolved drastically since the last edition, entries have been expanded to provide comprehensive view and include coverage of several newer topics.



Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies


Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies
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Author : Rajesh David
language : en
Publisher: RK Publication
Release Date : 2024-11-05

Artificial Intelligence In Cyber Security Advanced Threat Detection And Prevention Strategies written by Rajesh David and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-05 with Computers categories.


Artificial Intelligence in Cyber Security Advanced Threat Detection and Prevention Strategies the transformative role of AI in strengthening cybersecurity defenses. This a comprehensive guide to how AI-driven technologies can identify, analyze, and mitigate sophisticated cyber threats in real time. Covering advanced techniques in machine learning, anomaly detection, and behavioral analysis, it offers strategic insights for proactively defending against cyber attacks. Ideal for cybersecurity professionals, IT managers, and researchers, this book illuminates AI's potential to anticipate vulnerabilities and safeguard digital ecosystems against evolving threats.



Fundamentals Of Cyber Security


Fundamentals Of Cyber Security
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Author : Dr.P.Kumar
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-08-11

Fundamentals Of Cyber Security written by Dr.P.Kumar and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-11 with Language Arts & Disciplines categories.


Dr.P.Kumar, Associate Professor, Centre for Information Technology and Engineering, Manonmaniam Sundaranar University, Tirunelveli - 627012, Tamil Nadu, India. Dr.A.Anbarasa Kumar, Assistant Professor Senior Grade 1, Department of Information Technology, School of Computer Science Engineering and Information Systems, Vellore Institute of Technology, Vellore - 632014, Tamil Nadu, India.



Secure Data Science


Secure Data Science
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2022-04-27

Secure Data Science written by Bhavani Thuraisingham and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-27 with Computers categories.


Secure data science, which integrates cyber security and data science, is becoming one of the critical areas in both cyber security and data science. This is because the novel data science techniques being developed have applications in solving such cyber security problems as intrusion detection, malware analysis, and insider threat detection. However, the data science techniques being applied not only for cyber security but also for every application area—including healthcare, finance, manufacturing, and marketing—could be attacked by malware. Furthermore, due to the power of data science, it is now possible to infer highly private and sensitive information from public data, which could result in the violation of individual privacy. This is the first such book that provides a comprehensive overview of integrating both cyber security and data science and discusses both theory and practice in secure data science. After an overview of security and privacy for big data services as well as cloud computing, this book describes applications of data science for cyber security applications. It also discusses such applications of data science as malware analysis and insider threat detection. Then this book addresses trends in adversarial machine learning and provides solutions to the attacks on the data science techniques. In particular, it discusses some emerging trends in carrying out trustworthy analytics so that the analytics techniques can be secured against malicious attacks. Then it focuses on the privacy threats due to the collection of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services for secure data science, it looks at applications of secure data science to information sharing and social media. This book is a useful resource for researchers, software developers, educators, and managers who want to understand both the high level concepts and the technical details on the design and implementation of secure data science-based systems. It can also be used as a reference book for a graduate course in secure data science. Furthermore, this book provides numerous references that would be helpful for the reader to get more details about secure data science.



Strategic Minds


Strategic Minds
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Author : James D. Ramsay
language : en
Publisher: Taylor & Francis
Release Date : 2024-11-25

Strategic Minds written by James D. Ramsay and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-25 with Political Science categories.


This unique book captures state of the art thinking and methodologies designed to advance intelligence education to produce a capable and qualified intelligence workforce. Intelligence is evolving because it must keep pace with the many wicked threats that face open democracies. Public health threats such as the COVID-19 pandemic, threats emanating from regional instabilities from climate change, cyber-based threats from artificial intelligence, and the spread of disinformation have all shown how traditional intelligence education must evolve. Tomorrow’s workforce simply needs better education and training – which arguably are better provided by institutions of higher education that have the capacity and time to do it appropriately. While some “on the job” training will always be required, and while the profession will always need specialists in linguistics, engineering, sociology, international relations, religious studies, and the like, it is increasingly obvious that the role of a degree in intelligence studies has never been more important to the intelligence community, and by extension, to the peace and civility of the world. Put simply, intelligence education is critical to preserving democracy. This book will be of great interest to all students, scholars and practitioners of intelligence studies, data science literacy and machine learning, ethics, security studies, foreign policy and international relations. The chapters in this book were originally published as a special issue of Journal of Policing, Intelligence and Counter Terrorism.