Application of Big Data for National Security: A Practitioners Guide to Emerging Technologies

Mining Big Data to Improve National Security: A Practitioner's Guide to Emerging Technologies introduces state-of-the-art concepts and technologies surrounding big data, providing users with a strategic framework that can be used to combat terrorism and reduce crime. An international team of computer scientists and national security experts provide extensive knowledge on this increasingly global issue using a series of case studies and predictions. The strategic frameworks and critical factors presented in the text consider legal, ethical, and societal impacts, illustrating how data and security concerns intersect. Future technical and operational challenges are also covered, along with new possibilities for improving detection and prevention of crime and terrorism. Provides readers with the context they need to utilize big data in the most effective wayPresents a strategic framework that can be used to combat terrorism and reduce crimeAuthored by a team of computer scientists and national security expertsConsiders legal, ethical, and societal impacts, illustrating how data and security concerns intersect INDICE: Section 1: Introduction to Big Data Chapter 1 - An Introduction to Big Data Chapter 2 -Drilling into the Big Data Goldmine: Data Fusion and High Performance Analytics for Intelligence Professionals Section 2: Big Data in the context of security Chapter 3 - Harnessing the Power of Big Data to Counter International Terrorism Chapter 4 - Big Data and Law Enforcement: Advances, Implications, and Lessons from an Active Shooter Case Study Chapter 5  -  Interpretation and Insider Threat: Re-Reading the Anthrax Mailings of 2001 Through a Big Data Lens Chapter 6 - Critical Infrastructure Protection by Harnessing Big Data Chapter 7 - Military and Big Data Revolution Chapter 8: Cyber-Crime, Attack-Motivations and Implications for Big Data and National Security Section 3: Strategic Approaches to Big Data Chapter 9 - Requirements and Challenges for Big Data Architecture Chapter 10 - Tools and Technologies for the Implementation of Big Data Chapter 11 - Mining Social Media: Architecture, Tools, and Approaches to Detect Criminal Activity Chapter 12 - Making Sense of Unstructured Natural Language Information Chapter 13 - Literature Mining and Ontology Mapping Applied to Big Data Chapter 14 - Big Data Concerns in Autonomous AI Systems Section 4: Critical national success factors for harnessing Big Data Chapter 15 - The Legal Challenges of Big Data Applications in Law Enforcement Chapter 16 - Big Data and the Italian Legal Framework Chapter 17 - Accounting for Cultural Influences in Big Data Analytics Chapter 18 - Making Sense of the Noise: An ABC Approach to Big Data and Security

• ISBN: 978-0-12-801967-2
• Editorial: Butterworth-Heinemann
• Encuadernacion: Rústica
• Páginas: 276
• Fecha Publicación: 15/03/2015
• Nº Volúmenes: 1
• Idioma: Inglés