Application Of Big Data For National Security
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Application Of Big Data For National Security
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Author : Babak Akhgar
language : en
Publisher: Butterworth-Heinemann
Release Date : 2015-02-14
Application Of Big Data For National Security written by Babak Akhgar and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-14 with Computers categories.
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
Big Data Surveillance And Security Intelligence
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Author : David Lyon
language : en
Publisher: UBC Press
Release Date : 2021
Big Data Surveillance And Security Intelligence written by David Lyon and has been published by UBC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with Big data categories.
"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 conventionally thought of as suspicious or threatening. In this collection, academics, civil society experts, and regulators debate the pressing questions raised by current security intelligence and surveillance practices in Canada. They reveal the shift to 'big data' practices that security agencies have made in recent years, as the increasing volume of information from social media and open sources challenges traditional ways of gathering intelligence. Working together, the Five Eyes intelligence partners (Australia, Canada, New Zealand, the United Kingdom, and the United States) are using new methods of data analysis to identify and pre-empt risks to national security. In Canada, the Canadian Security Intelligence Service, the RCMP, and the Communication Security Establishment face an uncertain regulatory environment and seemingly incompatible demands: to extend their surveillance, data gathering, and disruption/intervention powers while increasing accountability and transparency in the name of democratic values. But at what cost to civil liberties, human rights, and privacy protection?" (ed.).
Big Data Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2016-04-20
Big Data Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-20 with Computers categories.
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.
Security Privacy And Forensics Issues In Big Data
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Author : Joshi, Ramesh C.
language : en
Publisher: IGI Global
Release Date : 2019-08-30
Security Privacy And Forensics Issues In Big Data written by Joshi, Ramesh C. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-30 with Computers categories.
With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.
Big Data Analytics With Applications In Insider Threat Detection
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Author : Bhavani Thuraisingham
language : en
Publisher: CRC Press
Release Date : 2017-11-22
Big Data Analytics With Applications In Insider Threat Detection 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 2017-11-22 with Computers categories.
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 Security
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Author : Shibakali Gupta
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2019-10-08
Big Data Security written by Shibakali Gupta and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-08 with Computers categories.
After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.
New Technologies For Human Rights Law And Practice
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Author : Molly K. Land
language : en
Publisher: Cambridge University Press
Release Date : 2018-04-19
New Technologies For Human Rights Law And Practice written by Molly K. Land 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 2018-04-19 with Computers categories.
Provides a roadmap for understanding the relationship between technology and human rights law and practice. This title is also available as Open Access.
Artificial Intelligence And National Security
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Author : Reza Montasari
language : en
Publisher: Springer Nature
Release Date : 2022-09-26
Artificial Intelligence And National Security written by Reza Montasari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Computers categories.
This book analyses the implications of the technical, legal, ethical and privacy challenges as well as challenges for human rights and civil liberties regarding Artificial Intelligence (AI) and National Security. It also offers solutions that can be adopted to mitigate or eradicate these challenges wherever possible. As a general-purpose, dual-use technology, AI can be deployed for both good and evil. The use of AI is increasingly becoming of paramount importance to the government’s mission to keep their nations safe. However, the design, development and use of AI for national security poses a wide range of legal, ethical, moral and privacy challenges. This book explores national security uses for Artificial Intelligence (AI) in Western Democracies and its malicious use. This book also investigates the legal, political, ethical, moral, privacy and human rights implications of the national security uses of AI in the aforementioned democracies. It illustrates how AI for national security purposes could threaten most individual fundamental rights, and how the use of AI in digital policing could undermine user human rights and privacy. In relation to its examination of the adversarial uses of AI, this book discusses how certain countries utilise AI to launch disinformation attacks by automating the creation of false or misleading information to subvert public discourse. With regards to the potential of AI for national security purposes, this book investigates how AI could be utilized in content moderation to counter violent extremism on social media platforms. It also discusses the current practices in using AI in managing Big Data Analytics demands. This book provides a reference point for researchers and advanced-level students studying or working in the fields of Cyber Security, Artificial Intelligence, Social Sciences, Network Security as well as Law and Criminology. Professionals working within these related fields and law enforcement employees will also find this book valuable as a reference.
Managing Big Data Integration In The Public Sector
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Author : Aggarwal, Anil
language : en
Publisher: IGI Global
Release Date : 2015-11-12
Managing Big Data Integration In The Public Sector written by Aggarwal, Anil and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-12 with Computers categories.
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.
The Fourth Industrial Revolution And The Labour Market
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Author : Jon-Arild Johannessen
language : en
Publisher: Taylor & Francis
Release Date : 2023-09-15
The Fourth Industrial Revolution And The Labour Market written by Jon-Arild Johannessen and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-15 with Business & Economics categories.
The innovation economy is the driver for the development of the Fourth Industrial Revolution and consequently, there is a growing focus on innovation in general and technological innovation in particular. In this context, there is much to suggest that it is the triple impact of artificial intelligence, big data and 5G- and 6G networks that will go beyond the limits of existing competence. This book is about the new competence that is emerging in the wake of artificial intelligence and intelligent robots. It explains how these two technologies are completely fundamental to what is known as the Fourth Industrial Revolution. The author argues that artificial intelligence will promote automation, which will reduce wages rather than increase unemployment statistics. The book posits that when the utility value of technology and the rate of dissemination of technology is high, people who have the necessary competence will both future-proof their jobs in the labour market and also be among the highest-paid workers in the new economy that is emerging from the innovation economy. Further, by making education more compatible with new technology will enable graduates to access more secure and better paid jobs, and all behavioural fields related to new technology will flourish because they can be used in many contexts to steer people’s behaviour in certain directions through the integration of big data and artificial intelligence. The book employs the following scholarly methods: conceptual generalization, scenario-based thinking and historical economic methodology, thus it will be of particular benefit to academic scholars, researchers and graduate students who are concerned with the impact of the fourth industrial revolution on the labour market.