Big Data Security
Title | Big Data Security PDF eBook |
Author | Shibakali Gupta |
Publisher | Walter de Gruyter GmbH & Co KG |
Total Pages | 223 |
Release | 2019-10-08 |
Genre | Computers |
ISBN | 3110605961 |
After a short description of the key concepts of big data the book explores on the secrecy and security threats posed especially by cloud based data storage. It delivers conceptual frameworks and models along with case studies of recent technology.
Security, Privacy, and Forensics Issues in Big Data
Title | Security, Privacy, and Forensics Issues in Big Data PDF eBook |
Author | Joshi, Ramesh C. |
Publisher | IGI Global |
Total Pages | 456 |
Release | 2019-08-30 |
Genre | Computers |
ISBN | 1522597441 |
With the proliferation of devices connected to the internet and connected to each other, the volume of data collected, stored, and processed is increasing every day, which brings new challenges in terms of information security. As big data expands with the help of public clouds, traditional security solutions tailored to private computing infrastructures and confined to a well-defined security perimeter, such as firewalls and demilitarized zones (DMZs), are no longer effective. New security functions are required to work over the heterogenous composition of diverse hardware, operating systems, and network domains. Security, Privacy, and Forensics Issues in Big Data is an essential research book that examines recent advancements in big data and the impact that these advancements have on information security and privacy measures needed for these networks. Highlighting a range of topics including cryptography, data analytics, and threat detection, this is an excellent reference source for students, software developers and engineers, security analysts, IT consultants, academicians, researchers, and professionals.
Big Data
Title | Big Data PDF eBook |
Author | Fei Hu |
Publisher | CRC Press |
Total Pages | 463 |
Release | 2016-04-27 |
Genre | Computers |
ISBN | 1498734871 |
Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details-making them unsuitable to R&D people. To fill such a need, Big Data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers the 3S desi
Security and Privacy for Big Data, Cloud Computing and Applications
Title | Security and Privacy for Big Data, Cloud Computing and Applications PDF eBook |
Author | Wei Ren |
Publisher | Computing and Networks |
Total Pages | 329 |
Release | 2019-09 |
Genre | Computers |
ISBN | 1785617478 |
This book examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions.
Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation
Title | Big Data Technologies for Monitoring of Computer Security: A Case Study of the Russian Federation PDF eBook |
Author | Sergei Petrenko |
Publisher | Springer |
Total Pages | 249 |
Release | 2018-05-17 |
Genre | Computers |
ISBN | 3319790366 |
This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an early-warning cybersecurity system for critically important governmental information assets. Using the work being done in Russia on new information security systems as a case study, the book shares valuable insights gained during the process of designing and constructing open segment prototypes of this system. Most books on cybersecurity focus solely on the technical aspects. But Big Data Technologies for Monitoring of Computer Security demonstrates that military and political considerations should be included as well. With a broad market including architects and research engineers in the field of information security, as well as managers of corporate and state structures, including Chief Information Officers of domestic automation services (CIO) and chief information security officers (CISO), this book can also be used as a case study in university courses.
Cloud Computing and Big Data: Technologies, Applications and Security
Title | Cloud Computing and Big Data: Technologies, Applications and Security PDF eBook |
Author | Mostapha Zbakh |
Publisher | Springer |
Total Pages | 394 |
Release | 2018-07-27 |
Genre | Technology & Engineering |
ISBN | 3319977199 |
This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and Big Data. Cloud computing, which can be seen as any subscription-based or pay-per-use service that extends the Internet’s existing capabilities, has gained considerable attention from both academia and the IT industry as a new infrastructure requiring smaller investments in hardware platforms, staff training, or licensing software tools. It is a new paradigm that has ushered in a revolution in both data storage and computation. In parallel to this progress, Big Data technologies, which rely heavily on cloud computing platforms for both data storage and processing, have been developed and deployed at breathtaking speed. They are among the most frequently used technologies for developing applications and services in many fields, such as the web, health, and energy. Accordingly, cloud computing and Big Data technologies are two of the most central current and future research mainstreams. They involve and impact a host of fields, including business, scientific research, and public and private administration. Gathering extended versions of the best papers presented at the Third International Conference on Cloud Computing Technologies and Applications (CloudTech’17), this book offers a valuable resource for all Information System managers, researchers, students, developers, and policymakers involved in the technological and application aspects of cloud computing and Big Data.
Big Data Analytics in Cybersecurity
Title | Big Data Analytics in Cybersecurity PDF eBook |
Author | Onur Savas |
Publisher | CRC Press |
Total Pages | 452 |
Release | 2017-09-18 |
Genre | Business & Economics |
ISBN | 1351650416 |
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.