Big Data Analytics in Cybersecurity

On the other hand, big data analytics tools can also be realized as tools that apply practical and scalable machine learning and artificial intelligence for cybersecurity. Note that these tools are beyond running a simple application or ...

Big Data Analytics in Cybersecurity

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: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. 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.

More Books:

Big Data Analytics in Cybersecurity
Language: en
Pages: 336
Authors: Onur Savas, Julia Deng
Categories: Business & Economics
Type: BOOK - Published: 2017-09-18 - Publisher: CRC Press

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
Machine Intelligence and Big Data Analytics for Cybersecurity Applications
Language: en
Pages: 539
Authors: Yassine Maleh, Mohammad Shojafar, Mamoun Alazab, Youssef Baddi
Categories: Computers
Type: BOOK - Published: 2020-12-14 - Publisher: Springer Nature

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
Big Data Analytics in Cybersecurity
Language: en
Pages: 336
Authors: Onur Savas, Julia Deng
Categories: Business & Economics
Type: BOOK - Published: 2017-09-18 - Publisher: CRC Press

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
Big Data Analytics in Cognitive Social Media and Literary Texts
Language: en
Pages: 300
Authors: Sanjiv Sharma, Valiur Rahaman, G. R. Sinha
Categories: Language Arts & Disciplines
Type: BOOK - Published: 2021-11-11 - Publisher: Springer Nature

This book provides a comprehensive overview of the theory and praxis of Big Data Analytics and how these are used to extract cognition-related information from social media and literary texts. It presents analytics that transcends the borders of discipline-specific academic research and focuses on knowledge extraction, prediction, and decision-making in
Data Analytics and Decision Support for Cybersecurity
Language: en
Pages: 270
Authors: Iván Palomares Carrascosa, Harsha Kumara Kalutarage, Yan Huang
Categories: Computers
Type: BOOK - Published: 2017-08-01 - Publisher: Springer

The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a