Deng julia (11 Ergebnisse)

Paperback. Zustand: Acceptable. May have underlining, highlighting, margin notes, remainder marks, inscriptions, book plates, tears, significant wear, and/or a missing dust jacket, box, or discs. Damaged item.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

Zustand: New.

Paperback. Zustand: Brand New. 336 pages. 9.00x6.25x1.00 inches. In Stock.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware - 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.…

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New.

Gebunden. Zustand: New.

Buch. Zustand: Neu. Neuware - 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, öers 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 ¿rst focuses on how big data analytics can be used in di¿erent 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.…