Application of Big Data for National Security

Produk Detail:
  • Author : Babak Akhgar
  • Publisher : Butterworth-Heinemann
  • Pages : 316 pages
  • ISBN : 0128019735
  • Rating : /5 from reviews
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Download or Read online Application of Big Data for National Security full in PDF, ePub and kindle. this book written by Babak Akhgar and published by Butterworth-Heinemann which was released on 19 February 2015 with total page 316 pages. We cannot guarantee that Application of Big Data for National Security book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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

Application of Big Data for National Security

Application of Big Data for National Security
  • Author : Babak Akhgar,Gregory B. Saathoff,Hamid R Arabnia,Richard Hill,Andrew Staniforth,Petra Saskia Bayerl
  • Publisher : Butterworth-Heinemann
  • Release : 19 February 2015
GET THIS BOOK Application of Big Data for National Security

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

Machine Intelligence and Big Data Analytics for Cybersecurity Applications

Machine Intelligence and Big Data Analytics for Cybersecurity Applications
  • Author : Yassine Maleh,Mohammad Shojafar,Mamoun Alazab,Youssef Baddi
  • Publisher : Springer Nature
  • Release : 14 December 2020
GET THIS BOOK Machine Intelligence and Big Data Analytics for Cybersecurity Applications

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

Big Data Concepts Methodologies Tools and Applications

Big Data  Concepts  Methodologies  Tools  and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 20 April 2016
GET THIS BOOK Big Data Concepts Methodologies Tools and Applications

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

Applications of Big Data in Large and Small Scale Systems

Applications of Big Data in Large  and Small Scale Systems
  • Author : Sam Goundar,Praveen Kumar Rayani
  • Publisher : IGI Global
  • Release : 21 October 2021
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"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
  • Author : M. Mittal,V.E. Balas,D.J. Hemanth
  • Publisher : IOS Press
  • Release : 31 January 2018
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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

Big Data Analytics with Applications in Insider Threat Detection

Big Data Analytics with Applications in Insider Threat Detection
  • Author : Bhavani Thuraisingham,Pallabi Parveen,Mohammad Mehedy Masud,Latifur Khan
  • Publisher : CRC Press
  • Release : 22 November 2017
GET THIS BOOK Big Data Analytics with Applications in Insider Threat Detection

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
  • Author : Patrick C. K. Hung
  • Publisher : Springer
  • Release : 18 May 2016
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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
  • Author : Aggarwal, Anil
  • Publisher : IGI Global
  • Release : 12 November 2015
GET THIS BOOK Managing Big Data Integration in the Public Sector

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

Open Source Intelligence Investigation

Open Source Intelligence Investigation
  • Author : Babak Akhgar,P. Saskia Bayerl,Fraser Sampson
  • Publisher : Springer
  • Release : 01 January 2017
GET THIS BOOK Open Source Intelligence Investigation

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

Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges

Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges
  • Author : A. Niglia
  • Publisher : IOS Press
  • Release : 12 October 2016
GET THIS BOOK Critical Infrastructure Protection Against Hybrid Warfare Security Related Challenges

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

International Conference on Applications and Techniques in Cyber Security and Intelligence

International Conference on Applications and Techniques in Cyber Security and Intelligence
  • Author : Jemal Abawajy,Kim-Kwang Raymond Choo,Rafiqul Islam
  • Publisher : Springer
  • Release : 20 October 2017
GET THIS BOOK International Conference on Applications and Techniques in Cyber Security and Intelligence

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
  • Author : Kalaiselvi Geetha Manoharan,Jawaharlal Arun Nehru,Sivaraman Balasubramanian
  • Publisher : Springer Nature
  • Release : 21 October 2021
GET THIS BOOK Artificial Intelligence and IoT

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

Management Decision Making Big Data and Analytics

Management Decision Making  Big Data and Analytics
  • Author : Simone Gressel,David J. Pauleen,Nazim Taskin
  • Publisher : SAGE
  • Release : 12 October 2020
GET THIS BOOK Management Decision Making Big Data and Analytics

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

Big Data Challenges

Big Data Challenges
  • Author : Anno Bunnik,Anthony Cawley,Michael Mulqueen,Andrej Zwitter
  • Publisher : Springer
  • Release : 13 May 2016
GET THIS BOOK Big Data Challenges

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,

Deep Learning Innovations and Their Convergence With Big Data

Deep Learning Innovations and Their Convergence With Big Data
  • Author : Karthik, S.,Paul, Anand,Karthikeyan, N.
  • Publisher : IGI Global
  • Release : 13 July 2017
GET THIS BOOK Deep Learning Innovations and Their Convergence With Big Data

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