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Application Of Big Data For National Security

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Application of Big Data for National Security

Application of Big Data for National Security Book
Author : Babak Akhgar,Gregory B. Saathoff,Hamid R Arabnia,Richard Hill,Andrew Staniforth,Petra Saskia Bayerl
Publisher : Butterworth-Heinemann
Release : 2015-02-19
ISBN : 0128019735
Language : En, Es, Fr & De

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Book Description :

Application of Big Data for National Security provides users with state-of-the-art concepts, methods, and technologies for Big Data analytics in the fight against terrorism and crime, including a wide range of case studies and application scenarios. This book combines expertise from an international team of experts in law enforcement, national security, and law, as well as computer sciences, criminology, linguistics, and psychology, creating a unique cross-disciplinary collection of knowledge and insights into this increasingly global issue. The strategic frameworks and critical factors presented in Application of Big Data for National Security consider technical, legal, ethical, and societal impacts, but also practical considerations of Big Data system design and deployment, illustrating how data and security concerns intersect. In identifying current and future technical and operational challenges it supports law enforcement and government agencies in their operational, tactical and strategic decisions when employing Big Data for national security Contextualizes the Big Data concept and how it relates to national security and crime detection and prevention Presents strategic approaches for the design, adoption, and deployment of Big Data technologies in preventing terrorism and reducing crime Includes a series of case studies and scenarios to demonstrate the application of Big Data in a national security context Indicates future directions for Big Data as an enabler of advanced crime prevention and detection

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Machine Intelligence and Big Data Analytics for Cybersecurity Applications Book
Author : Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi
Publisher : Springer Nature
Release : 2020-12-14
ISBN : 303057024X
Language : En, Es, Fr & De

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Book Description :

This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis. Cyber-attacks have posed real and wide-ranging threats for the information society. Detecting cyber-attacks becomes a challenge, not only because of the sophistication of attacks but also because of the large scale and complex nature of today’s IT infrastructures. It discusses novel trends and achievements in machine intelligence and their role in the development of secure systems and identifies open and future research issues related to the application of machine intelligence in the cybersecurity field. Bridging an important gap between machine intelligence, big data, and cybersecurity communities, it aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this area or those interested in grasping its diverse facets and exploring the latest advances on machine intelligence and big data analytics for cybersecurity applications.

Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2016-04-20
ISBN : 1466698411
Language : En, Es, Fr & De

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Book Description :

The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data scientists and analysts alike as traditional data processing applications struggle to adequately manage big data. Big Data: Concepts, Methodologies, Tools, and Applications is a multi-volume compendium of research-based perspectives and solutions within the realm of large-scale and complex data sets. Taking a multidisciplinary approach, this publication presents exhaustive coverage of crucial topics in the field of big data including diverse applications, storage solutions, analysis techniques, and methods for searching and transferring large data sets, in addition to security issues. Emphasizing essential research in the field of data science, this publication is an ideal reference source for data analysts, IT professionals, researchers, and academics.

Applications of Big Data in Large and Small Scale Systems

Applications of Big Data in Large  and Small Scale Systems Book
Author : Sam Goundar,Praveen Kumar Rayani
Publisher : IGI Global
Release : 2021
ISBN : 1799866750
Language : En, Es, Fr & De

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Book Description :

"This book addresses the newest innovative and intelligent applications related to utilizing the large amounts of big data being generated that is increasingly driving decision making and changing the landscape of business intelligence, from governments to private organizations, from communities to individuals"--

Data Intensive Computing Applications for Big Data

Data Intensive Computing Applications for Big Data Book
Author : M. Mittal,V.E. Balas,D.J. Hemanth
Publisher : IOS Press
Release : 2018-01-31
ISBN : 1614998140
Language : En, Es, Fr & De

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Book Description :

The book ‘Data Intensive Computing Applications for Big Data’ discusses the technical concepts of big data, data intensive computing through machine learning, soft computing and parallel computing paradigms. It brings together researchers to report their latest results or progress in the development of the above mentioned areas. Since there are few books on this specific subject, the editors aim to provide a common platform for researchers working in this area to exhibit their novel findings. The book is intended as a reference work for advanced undergraduates and graduate students, as well as multidisciplinary, interdisciplinary and transdisciplinary research workers and scientists on the subjects of big data and cloud/parallel and distributed computing, and explains didactically many of the core concepts of these approaches for practical applications. It is organized into 24 chapters providing a comprehensive overview of big data analysis using parallel computing and addresses the complete data science workflow in the cloud, as well as dealing with privacy issues and the challenges faced in a data-intensive cloud computing environment. The book explores both fundamental and high-level concepts, and will serve as a manual for those in the industry, while also helping beginners to understand the basic and advanced aspects of big data and cloud computing.

Big Data Analytics with Applications in Insider Threat Detection

Big Data Analytics with Applications in Insider Threat Detection Book
Author : Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan
Publisher : CRC Press
Release : 2017-11-22
ISBN : 1498705480
Language : En, Es, Fr & De

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Book Description :

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Big Data Applications and Use Cases

Big Data Applications and Use Cases Book
Author : Patrick C. K. Hung
Publisher : Springer
Release : 2016-05-18
ISBN : 3319301462
Language : En, Es, Fr & De

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Book Description :

This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting their business intelligence so that it is becoming more and more important to understand the various practical issues from different practical use cases. This book provides clear proof that big data technologies are playing an ever increasing important and critical role in a new cross-discipline research between computer science and business.

Managing Big Data Integration in the Public Sector

Managing Big Data Integration in the Public Sector Book
Author : Aggarwal, Anil
Publisher : IGI Global
Release : 2015-11-12
ISBN : 1466696508
Language : En, Es, Fr & De

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Book Description :

The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a better understanding of how to collect and manage such large data sets, it becomes increasingly difficult to successfully utilize them. Managing Big Data Integration in the Public Sector is a pivotal reference source for the latest scholarly research on the application of big data analytics in government contexts and identifies various strategies in which big data platforms can generate improvements within that sector. Highlighting issues surrounding data management, current models, and real-world applications, this book is ideally designed for professionals, government agencies, researchers, and non-profit organizations interested in the benefits of big data analytics applied in the public sphere.

Open Source Intelligence Investigation

Open Source Intelligence Investigation Book
Author : Babak Akhgar,P. Saskia Bayerl,Fraser Sampson
Publisher : Springer
Release : 2017-01-01
ISBN : 3319476718
Language : En, Es, Fr & De

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Book Description :

One of the most important aspects for a successful police operation is the ability for the police to obtain timely, reliable and actionable intelligence related to the investigation or incident at hand. Open Source Intelligence (OSINT) provides an invaluable avenue to access and collect such information in addition to traditional investigative techniques and information sources. This book offers an authoritative and accessible guide on how to conduct Open Source Intelligence investigations from data collection to analysis to the design and vetting of OSINT tools. In its pages the reader will find a comprehensive view into the newest methods for OSINT analytics and visualizations in combination with real-life case studies to showcase the application as well as the challenges of OSINT investigations across domains. Examples of OSINT range from information posted on social media as one of the most openly available means of accessing and gathering Open Source Intelligence to location data, OSINT obtained from the darkweb to combinations of OSINT with real-time analytical capabilities and closed sources. In addition it provides guidance on legal and ethical considerations making it relevant reading for practitioners as well as academics and students with a view to obtain thorough, first-hand knowledge from serving experts in the field.

Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges

Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges Book
Author : A. Niglia
Publisher : IOS Press
Release : 2016-10-12
ISBN : 1614996997
Language : En, Es, Fr & De

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Book Description :

Hybrid conflicts are characterized by multi-layered efforts to undermine the functioning of the State or polarize society. This book presents results, recommendations and best practices from the NATO Advanced Research Workshop (ARW) "Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges", held in Stockholm, Sweden, in May 2016. The main objective of this workshop was to help and support NATO in the field of hybrid conflicts by developing a set of tools to deter and defend against adversaries mounting a hybrid offensive. Addressing the current state of critical infrastructure protection (CIP) and the challenges evolving in the region due to non-traditional threats which often transcend national borders – such as cyber attacks, terrorism, and attacks on energy supply – the widely ranging group of international experts who convened for this workshop provided solutions from a number of perspectives to counter the new and emerging challenges affecting the security of modern infrastructure. Opportunities for public-private partnerships in NATO member and partner countries were also identified. The book provides a highly topical resource which identifies common solutions for combating major hazards and challenges – namely cyber attacks, terrorist attacks on energy supply, man-made disasters, information warfare and maritime security risks – and will be of interest to all those striving to maintain stability and avoid adverse effects on the safety and well-being of society.

International Conference on Applications and Techniques in Cyber Security and Intelligence

International Conference on Applications and Techniques in Cyber Security and Intelligence Book
Author : Jemal Abawajy,Kim-Kwang Raymond Choo,Rafiqul Islam
Publisher : Springer
Release : 2017-10-20
ISBN : 3319670719
Language : En, Es, Fr & De

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Book Description :

This book presents the outcomes of the 2017 International Conference on Applications and Techniques in Cyber Security and Intelligence, which focused on all aspects of techniques and applications in cyber and electronic security and intelligence research. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings, and novel techniques, methods and applications on all aspects of cyber and electronic security and intelligence.

Artificial Intelligence and IoT

Artificial Intelligence and IoT Book
Author : Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian
Publisher : Springer Nature
Release : 2021
ISBN : 9813364009
Language : En, Es, Fr & De

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Book Description :

This book projects a futuristic scenario that is more existent than they have been at any time earlier. To be conscious of the bursting prospective of IoT, it has to be amalgamated with AI technologies. Predictive and advanced analysis can be made based on the data collected, discovered and analyzed. To achieve all these compatibility, complexity, legal and ethical issues arise due to automation of connected components and gadgets of widespread companies across the globe. While these are a few examples of issues, the authors intention in editing this book is to offer concepts of integrating AI with IoT in a precise and clear manner to the research community. In editing this book, the authors attempt is to provide novel advances and applications to address the challenge of continually discovering patterns for IoT by covering various aspects of implementing AI techniques to make IoT solutions smarter. The only way to remain pace with this data generated by the IoT and acquire the concealed acquaintance it encloses is to employ AI as the eventual catalyst for IoT. IoT together with AI is more than an inclination or existence; it will develop into a paradigm. It helps those researchers who have an interest in this field to keep insight into different concepts and their importance for applications in real life. This has been done to make the edited book more flexible and to stimulate further interest in topics. All these motivated the authors toward integrating AI in achieving smarter IoT. The authors believe that their effort can make this collection interesting and highly attract the student pursuing pre-research, research and even master in multidisciplinary domain.

Big Data Challenges

Big Data Challenges Book
Author : Anno Bunnik,Anthony Cawley,Michael Mulqueen,Andrej Zwitter
Publisher : Springer
Release : 2016-05-13
ISBN : 1349948853
Language : En, Es, Fr & De

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Book Description :

This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and organisational decision-making. It seeks to demystify developments around Big Data before evaluating their current and likely future implications for areas as diverse as corporate innovation, law enforcement, data science, journalism, and food security. The contributors call for a rethinking of the legal, ethical and philosophical frameworks that inform the responsibilities and behaviours of state, corporate, institutional and individual actors in a more networked, data-centric society. In doing so, the book addresses the real world risks, opportunities and potentialities of Big Data.

Management Decision Making Big Data and Analytics

Management Decision Making  Big Data and Analytics Book
Author : Simone Gressel,David J. Pauleen,Nazim Taskin
Publisher : SAGE
Release : 2020-10-12
ISBN : 1529738288
Language : En, Es, Fr & De

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Book Description :

Accessible and concise, this exciting new textbook examines data analytics from a managerial and organizational perspective and looks at how they can help managers become more effective decision-makers. The book successfully combines theory with practical application, featuring case studies, examples and a ‘critical incidents’ feature that make these topics engaging and relevant for students of business and management. The book features chapters on cutting-edge topics, including: • Big data • Analytics • Managing emerging technologies and decision-making • Managing the ethics, security, privacy and legal aspects of data-driven decision-making The book is accompanied by an Instructor’s Manual, PowerPoint slides and access to journal articles. Suitable for management students studying business analytics and decision-making at undergraduate, postgraduate and MBA levels.

Deep Learning Innovations and Their Convergence With Big Data

Deep Learning Innovations and Their Convergence With Big Data Book
Author : Karthik, S.,Paul, Anand,Karthikeyan, N.
Publisher : IGI Global
Release : 2017-07-13
ISBN : 1522530169
Language : En, Es, Fr & De

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Book Description :

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

Intelligence Leadership and Governance

Intelligence Leadership and Governance Book
Author : Patrick F. Walsh
Publisher : Routledge
Release : 2020-11-22
ISBN : 1351968653
Language : En, Es, Fr & De

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Book Description :

This book explores the challenges leaders in intelligence communities face in an increasingly complex security environment and how to develop future leaders to deal with these issues. As the security and policy-making environment becomes increasingly complicated for decision-makers, the focus on intelligence agencies ‘to deliver’ more value will increase. This book is the first extensive exploration of contemporary leadership in the context of intelligence agencies, principally in the ‘Five Eyes’ nations (i.e. Australia, United States, United Kingdom, Canada, and New Zealand). It provides a grounded theoretical approach to building practitioner and researcher understanding of what individual and organisational factors result in better leadership. Using interviews from former senior intelligence leaders and a survey of 208 current and former intelligence leaders, the work explores the key challenges that leaders will likely face in the twenty-first century and how to address these. It also explores what principles are most likely to be important in developing future leaders of intelligence agencies in the future. This book will be of much interest to students of intelligence studies, strategic studies, leadership studies, security studies, and international relations.

Big Data Surveillance and Security Intelligence

Big Data Surveillance and Security Intelligence Book
Author : David Lyon,David Murakami Wood
Publisher : UBC Press
Release : 2020-12-01
ISBN : 0774864206
Language : En, Es, Fr & De

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Book Description :

Intelligence gathering is in a state of flux. Enabled by massive computing power, new modes of communications analysis now touch the lives of citizens around the globe – not just those considered suspicious or threatening. Big Data Surveillance and Security Intelligence reveals the profound shift to “big data” practices that security agencies have made in recent years, as the increasing volume of information challenges traditional ways of gathering intelligence. In this astute collection, leading academics, civil society experts, and regulators debate the pressing questions this trend raises about civil liberties, human rights, and privacy protection in Canada.

The New Era in U S National Security

The New Era in U S  National Security Book
Author : Jack A. Jarmon
Publisher : Rowman & Littlefield Publishers
Release : 2019-10-30
ISBN : 1538121611
Language : En, Es, Fr & De

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Book Description :

The purpose of The New Era in U.S. National Security: Challenges of the Information Age is to make its readers aware of how the tensions between opposing forces from above and below influence world events and shape U.S. national security institutions. The debt trap now being experienced by the developing world has unleashed global migration on a mass scale. In a world where market forces are politically unaccountable, crime will prosper, and its linkage to organizing social structures is organic. The nexus between corrupt politicians, transnational business, and cross-border crime pulls tighter. Meanwhile, the structures of global governance are immature. Differences of agreement over international norms and controls regarding the use of the Internet, and the laws pertaining to the deployment of cyber weapons are illusive - if not insurmountable. The chasm between the rich and poor is widening and deepening. Hostilities continue mount. In this book, Jack A. Jarmon offers a survey of the altering landscape of warfare and competition. Using recent events and documented experiences as examples, it reveals truths about the threat from criminals, terrorists, hostile governments, and internal vulnerabilities. The nation’s exposure invites attack with every hour. Rather than an abstract threat, these unseen and unreported assaults land blows to our information networks, infrastructure, quality of life, and democratic system.

Big Data Concepts Theories and Applications

Big Data Concepts  Theories  and Applications Book
Author : Shui Yu,Song Guo
Publisher : Springer
Release : 2016-03-03
ISBN : 3319277634
Language : En, Es, Fr & De

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Book Description :

This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different angles; surveys in research and applications; and existing tools, mechanisms, and systems in practice. Each chapter is independent from the other chapters, allowing users to read any chapter directly. After examining the practical side of Big Data, this book presents theoretical perspectives. The theoretical research ranges from Big Data representation, modeling and topology to distribution and dimension reducing. Chapters also investigate the many disciplines that involve Big Data, such as statistics, data mining, machine learning, networking, algorithms, security and differential geometry. The last section of this book introduces Big Data applications from different communities, such as business, engineering and science. Big Data Concepts, Theories and Applications is designed as a reference for researchers and advanced level students in computer science, electrical engineering and mathematics. Practitioners who focus on information systems, big data, data mining, business analysis and other related fields will also find this material valuable.

Advances in Mobile Cloud Computing and Big Data in the 5G Era

Advances in Mobile Cloud Computing and Big Data in the 5G Era Book
Author : Constandinos X. Mavromoustakis,George Mastorakis,Ciprian Dobre
Publisher : Springer
Release : 2016-11-19
ISBN : 3319451456
Language : En, Es, Fr & De

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Book Description :

This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks. The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.