Description
| Product ID: | 9781032096360 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Series: | Data Analytics Applications |
| Title: | Big Data Analytics in Cybersecurity |
| Authors: | Author: Julia Deng, Onur Savas |
| Page Count: | 352 |
| Subjects: | Econometrics and economic statistics, Econometrics, Econometrics and economic statistics, Information technology: general topics, Computer security, Economic statistics, Information technology: general issues, Computer security |
| Description: | This book gives a comprehensive coverage of state-of-the-art big data analytics in cybersecurity and IT management. The topics include threat analysis, vulnerability identification, mission analysis, network monitoring, network management, visualization, and cybertraining. Each topic is examined in detail in a case study. Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include:
In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research. |
| Imprint Name: | Auerbach |
| Publisher Name: | Taylor & Francis Ltd |
| Country of Publication: | GB |
| Publishing Date: | 2021-06-30 |